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ORCIDInternational Encyclopedia of Statistical Science 2011
- Miodrag Lovric:
International Encyclopedia of Statistical Science. Springer 2011, ISBN 978-3-642-04897-5
A
- S. Ejaz Ahmed, S. M. Enayetur Raheem
, Shakhawat Hossain:
Absolute Penalty Estimation. 1-3 - Francisco Louzada-Neto:
Accelerated Lifetime Testing. 3-5 - M. Ivette Gomes:
Acceptance Sampling. 5-7 - Vassiliy Simchera:
Actuarial Methods. 7-10 - Jana Jurecková:
Adaptive Linear Regression. 10-12 - Said El Melhaoui:
Adaptive Methods. 12-14 - George A. F. Seber, Mohammad Salehi M.:
Adaptive Sampling. 14-16 - Thomas A. Louis:
Advantages of Bayesian Structuring: Estimating Ranks and Histograms. 16-19 - James P. M. Ntozi:
African Population Censuses. 19-20 - Devendra Chhetry:
Aggregation Schemes. 20-22 - Gavin J. S. Ross:
Agriculture, Statistics in. 23-25 - Hirotugu Akaike:
Akaike's Information Criterion. 25 - Joseph E. Cavanaugh, Andrew A. Neath:
Akaike's Information Criterion: Background, Derivation, Properties, and Refinements. 26-29 - Sonja Petrovic, Aleksandra B. Slavkovic:
Algebraic Statistics. 29-32 - Herold Dehling:
Almost Sure Convergence of Random Variables. 32-35 - Gunter Spöck, Jürgen Pilz:
Analysis of Areal and Spatial Interaction Data. 35-39 - James J. Cochran:
Analysis of Covariance. 39-41 - Asghar Ali:
Analysis of Multivariate Agricultural Data. 41-44 - Gudmund R. Iversen:
Analysis of Variance. 44-46 - Hardeo Sahai, Mohammed I. Ageel, Anwer Khurshid:
Analysis of Variance Model, Effects of Departures from Assumptions Underlying. 46-51 - Theodore W. Anderson:
Anderson-Darling Tests of Goodness-of-Fit. 52-54 - Juan Carlos Abril:
Approximations for Densities of Sufficient Estimators. 54-57 - Juan Carlos Abril:
Approximations to Distributions. 57-61 - Tarald O. Kvålseth:
Association Measures for Nominal Categorical Variables. 61-64 - Eric D. Feigelson:
Astrostatistics. 64-66 - John E. Kolassa:
Asymptotic Normality. 67-68 - Robert Serfling:
Asymptotic Relative Efficiency in Estimation. 68-72 - Yakov Nikitin:
Asymptotic Relative Efficiency in Testing. 72-75 - Juan Carlos Abril:
Asymptotic, Higher Order. 75-76 - Badi H. Baltagi:
Autocorrelation in Regression. 76-77 - Vincenzo Capasso:
Axioms of Probability. 77-79
B
- Yves Tillé:
Balanced Sampling. 81-82 - Héctor Manuel Zárate Solano:
Banking, Statistics in. 82-83 - Gauss M. Cordeiro:
Bartlett and Bartlett-Type Corrections. 84-87 - Hossein Arsham, Miodrag Lovric:
Bartlett's Test. 87-88 - Joseph B. Kadane:
Bayes' Theorem. 89-90 - D. A. S. Fraser:
Bayesian Analysis or Evidence Based Statistics? 90-97 - Hocine Fellag, Lynda Atil:
Bayesian Approach of the Unit Root Test. 97-99 - Jaeyong Lee:
Bayesian Nonparametric Statistics. 99-101 - Jayanta K. Ghosh, Mohan Delampady:
Bayesian P-Values. 101-104 - Renkuan G. Guo:
Bayesian Reliability Modeling. 104-106 - Ludwig Fahrmeir:
Bayesian Semiparametric Regression. 106-107 - José M. Bernardo:
Bayesian Statistics. 107-133 - Jordi Vallverdú:
Bayesian Versus Frequentist Statistical Reasoning. 133-135 - Francisco J. Samaniego:
Bayesian vs. Classical Point Estimation: A Comparative Overview. 136-138 - Allan S. Cohen, Seock-Ho Kim:
Behrens-Fisher Problem. 138-141 - Simo Puntanen, George P. H. Styan:
Best Linear Unbiased Estimation in Linear Models. 141-144 - Arjun K. Gupta:
Beta Distribution. 144-145 - Sander Greenland:
Bias Analysis. 145-148 - Gauss M. Cordeiro:
Bias Correction. 148-152 - Andreas N. Philippou, Demetrios L. Antzoulakos:
Binomial Distribution. 152-154 - Susan R. Wilson:
Bioinformatics. 154-155 - Christy Chuang-Stein:
Biopharmaceutical Research, Statistics in. 156-158 - Susan R. Wilson:
Biostatistics. 158-160 - Colin Rose:
Bivariate Distributions. 160-166 - Rudolf Beran:
Bootstrap Asymptotics. 166-168 - Michael R. Chernick, Wenceslao González-Manteiga, Rosa M. Crujeiras, Erniel B. Barrios:
Bootstrap Methods. 169-174 - Tapas Kumar Chandra, Fejzi Kolaneci:
Borel-Cantelli Lemma and Its Generalizations. 174-176 - Takashi Daimon:
Box-Cox Transformation. 176-178 - John Boland:
Box-Jenkins Time Series Models. 178-181 - Vincenzo Capasso:
Brownian Motion and Diffusions. 181-185 - Rob J. Hyndman:
Business Forecasting Methods. 185-187 - Jasna Soldic-Aleksic, Rade Stankic:
Business Intelligence. 188-189 - Mark L. Berenson:
Business Statistics. 189-191 - Ger Snijkers, Mojca Bavdaz:
Business Surveys. 191-194
C
- Christos P. Kitsos:
Calibration. 195-196 - Jacques Dauxois, Guy Martial Nkiet:
Canonical Analysis and Measures of Association. 196-199 - Tenko Raykov:
Canonical Correlation Analysis. 199-201 - Daniel R. Jeske, Janet Myhre:
Careers in Statistics. 201-203 - Alastair Scott, Chris Wild:
Case-Control Studies. 204-205 - Alan Agresti, Maria Kateri:
Categorical Data Analysis. 206-208 - Sander Greenland, Judea Pearl:
Causal Diagrams. 208-216 - Sander Greenland:
Causation and Causal Inference. 216-221 - Hon Keung Tony Ng:
Censoring Methodology. 221-224 - Margo J. Anderson:
Census. 224-228 - Julio M. Singer:
Central Limit Theorems. 228-234 - Christos H. Skiadas:
Chaotic Modelling. 234-238 - Miljenko Huzak:
Characteristic Functions. 238-239 - Gerold Alsmeyer:
Chebyshev's Inequality. 239-240 - Rolf Sundberg:
Chemometrics. 240-242 - Herman Chernoff:
Chernoff Bound. 242-243 - Herman Chernoff:
Chernoff Faces. 243-244 - Herman Chernoff:
Chernoff-Savage Theorem. 244-245 - Miljenko Huzak:
Chi-Square Distribution. 245-246 - Vassiliy Voinov, Mikhail Nikulin:
Chi-Square Goodness-of-Fit Tests: Drawbacks and Improvements. 246-250 - David C. Howell:
Chi-Square Test: Analysis of Contingency Tables. 250-252 - Karl L. Wuensch:
Chi-Square Tests. 252-253 - Toshimitsu Hamasaki:
Clinical Trials, History of. 254-256 - Hiroyuki Uesaka:
Clinical Trials: An Overview. 256-259 - Jagdish N. Srivastava:
Clinical Trials: Some Aspects of Public Interest. 259-262 - H. Charles Romesburg:
Cluster Analysis: An Introduction. 262-265 - Janusz L. Wywial:
Cluster Sampling. 265-267 - Czeslaw Stepniak:
Coefficient of Variation. 267 - Sander Greenland:
Collapsibility. 267-270 - Peter Hackl:
Comparability of Statistics. 270-273 - Graham Dunn:
Complier-Average Causal Effect (CACE) Estimation. 273-274 - Clive William John Granger:
Components of Statistics. 274-275 - Joze Rovan:
Composite Indicators. 275-276 - Colin Rose:
Computational Statistics. 276-279 - Takis Konstantopoulos:
Conditional Expectation and Probability. 279-282 - William E. Strawderman:
Confidence Distributions. 282-283 - Michael Smithson:
Confidence Interval. 283-284 - Sander Greenland:
Confounding and Confounder Control. 284-290 - Seng Huat Ong, Choung Min Ng:
Contagious Distributions. 290-291 - Rabi Bhattacharya:
Continuity Correction. 292-293 - Alberto Luceño:
Control Charts. 293-297 - Pedro J. Rodríguez Esquerdo:
Convergence of Random Variables. 297-300 - R. Dennis Cook:
Cook's Distance. 301-302 - Carlo Sempi:
Copulas. 302-305 - Umberto Cherubini:
Copulas in Finance. 305-309 - Pranesh Kumar:
Copulas: Distribution Functions and Simulation. 309-312 - Vladimir V. Ulyanov:
Cornish-Fisher Expansions. 312-315 - Nitis Mukhopadhyay:
Correlation Coefficient. 315-318 - Jörg Blasius:
Correspondence Analysis. 318-321 - Colin L. Mallows:
Cp Statistic. 321 - Maarten Jansen, Gerda Claeskens:
Cramér-Rao Inequality. 322-323 - Michael A. Stephens:
Cramér-Von Mises Statistics for Discrete Distributions. 323-326 - Harvey Goldstein:
Cross Classified and Multiple Membership Multilevel Models. 326-328 - Charles R. Baker:
Cross-Covariance Operators. 328-329
D
- Alfredo Rizzi:
Data Analysis. 331-334 - Reza Modarres:
Data Depth. 334-336 - Bruno Scarpa:
Data Mining. 336-339 - Eamonn J. Keogh:
Data, Mining Time Series Data. 339-342 - Stephen E. Fienberg, Aleksandra B. Slavkovic:
Data Privacy and Confidentiality. 342-345 - Frank M. Guess, Thomas C. Redman:
Data Quality (Poor Quality Data: The Fly in the Data Analytics Ointment). 345-346 - Martin Peterson:
Decision Theory: An Introduction. 346-349 - Sven Ove Hansson:
Decision Theory: An Overview. 349-355 - Carlos Eduardo Valdivieso Taborga:
Decision Trees for the Teaching of Statistical Estimation. 356-359 - Mikhail Nikulin:
Degradation Models in Reliability and Survival Analysis. 359-363 - Chong Ho Yu:
Degrees of Freedom. 363-365 - Joseph G. Eisenhauer:
Degrees of Freedom in Statistical Inference. 365-367 - Krishnan Namboodiri:
Demographic Analysis: A Stochastic Approach. 367-370 - Jan M. Hoem:
Demography. 370-373 - Konstantinos Fokianos:
Density Ratio Model. 373-374 - Rick L. Edgeman:
Design for Six Sigma. 374-376 - D. R. Cox:
Design of Experiments: A Pattern of Progress. 376-377 - André I. Khuri:
Designs for Generalized Linear Models. 377-380 - Abdalla M. El-Habil:
Detecting Outliers in Time Series Using Simulation. 380-382 - Marianne Frisén:
Detection of Turning Points in Business Cycles. 382-384 - David A. Dickey:
Dickey-Fuller Tests. 385-388 - Barry G. Babin, Max P. Watson Jr.:
Discriminant Analysis: An Overview. 388-390 - Carl J. Huberty:
Discriminant Analysis: Issues and Problems. 390-392 - Bent Jørgensen:
Dispersion Models. 392-397 - Bojana Dalbelo Basic:
Distance Measures. 397-398 - Tiago A. Marques, Stephen T. Buckland, David L. Borchers, Eric G. Rexstad, Len Thomas:
Distance Sampling. 398-400 - Andreas N. Philippou, Demetrios L. Antzoulakos:
Distributions of Order k. 400-402 - Tarald O. Kvålseth:
Diversity. 402-405 - Estate V. Khmaladze:
Divisible Statistics. 405-407 - Natasa Erjavec:
Dummy Variables. 407-408 - Walter Krämer:
Durbin-Watson Test. 408-409
E
- Peter Kennedy:
Econometrics. 411-412 - Jan Kmenta:
Econometrics: A Failed Science? 412-415 - Zarylbek I. Kudabaev:
Economic Growth and Well-Being: Statistical Perspective. 415-417 - Yasuto Yoshizoe:
Economic Statistics. 417-421 - Zhidong Bai:
Edgeworth Expansion. 421-423 - Sander Greenland:
Effect Modification and Biological Interaction. 423-426 - Shlomo S. Sawilowsky, Jack Sawilowsky, Robert J. Grissom:
Effect Size. 426-429 - Pui Lam Leung:
Eigenvalue, Eigenvector and Eigenspace. 429-430 - J. N. K. Rao:
Empirical Likelihood Approach to Inference from Sample Survey Data. 431-433 - Evarist Giné:
Empirical Processes. 433-436 - Tarald O. Kvålseth:
Entropy. 436-439 - C. R. Rao:
Entropy and Cross Entropy as Diversity and Distance Measures. 440-446 - Jennifer Brown:
Environmental Monitoring, Statistics Role in. 446-447 - Dieter Hauschke:
Equivalence Testing. 447-449 - Steven P. Lalley:
Ergodic Theorem. 449-451 - M. F. Ramalhoto:
Erlang's Formulas. 451-455 - Nancy Reid:
Estimation. 455-459 - Mikhail P. Moklyachuk:
Estimation Problems for Random Fields. 459-460 - Sara A. van de Geer:
Estimation: An Overview. 460-464 - Walter J. Radermacher:
Eurostat. 464-466 - Hans-Peter Blossfeld:
Event History Analysis. 466-470 - Federico J. O'Reilly, Leticia Gracia-Medrano:
Exact Goodness-of-Fit Tests Based on Sufficiency. 470-472 - Roshini Sooriyarachchi:
Exact Inference for Categorical Data. 472-474 - Sander Greenland, David Draper:
Exchangeability. 474-476 - Czeslaw Stepniak:
Expected Value. 476-478 - Klaus Hinkelmann:
Experimental Design: An Introduction. 478-480 - Ali S. Hadi:
Expert Systems. 480-482 - Anna E. Bargagliotti, Donald G. Saari:
Explaining Paradoxes in Nonparametric Statistics. 482-486 - Kate Smith-Miles:
Exploratory Data Analysis. 486-488 - Roland Fried, Ann Cathrice George:
Exponential and Holt-Winters Smoothing. 488-490 - Rolf Sundberg:
Exponential Family Models. 490-493 - M. Isabel Fraga Alves, Cláudia Neves:
Extreme Value Distributions. 493-496 - Sinisa Stamatovic:
Extremes of Gaussian Processes. 496-498
F
- Enrique M. Cabaña:
F Distribution. 499-501 - David J. Bartholomew:
Factor Analysis and Latent Variable Modelling. 501-503 - Kalina Trenevska Blagoeva:
Factorial Experiments. 503-504 - John D. Storey:
False Discovery Rate. 504-508 - Kaku Sagary Nokoe:
Farmer Participatory Research Designs. 508-514 - Edward J. Spar:
Federal Statistics in the United States, Some Challenges. 514-515 - Jan Hannig, Hari Iyer, Thomas C. M. Lee:
Fiducial Inference. 515-519 - Matthias Fischer:
Financial Return Distributions. 519-521 - Christos H. Skiadas, Charilaos Skiadas:
First Exit Time Problem. 521-523 - Xin He, Mei-Ling Ting Lee:
First-Hitting-Time Based Threshold Regression. 523-524 - Peter Sprent:
Fisher Exact Test. 524-525 - Bojan Basrak:
Fisher-Tippett Theorem. 525-526 - Mirjana Cizmesija:
Five-Number Summaries. 526-527 - Kesten C. Green, Andreas Graefe, J. Scott Armstrong:
Forecasting Principles. 527-534 - William W. S. Wei:
Forecasting with ARIMA Processes. 534-536 - Rob J. Hyndman:
Forecasting: An Overview. 536-539 - Wing Kam Fung, Yuk-Ka Chung:
Forensic DNA: Statistics in. 539-541 - Thomas Augustin, Marco E. G. V. Cattaneo:
Foundations of Probability. 542-544 - Paul Janssen, Luc Duchateau:
Frailty Model. 544-546 - Vassiliy Simchera:
Fraud in Statistics. 546-547 - Shlomo S. Sawilowsky:
Frequentist Hypothesis Testing: A Defense. 547-551 - Carlos Alberto De Bragança Pereira:
Full Bayesian Significant Test (FBST). 551-554 - Hans-Georg Müller:
Functional Data Analysis. 554-555 - Luisa Turrin Fernholz:
Functional Derivatives in Statistics: Asymptotics and Robustness. 555-558 - Efendi N. Nasibov:
Fuzzy Logic in Statistical Data Analysis. 558-563 - Lotfi A. Zadeh:
Fuzzy Set Theory and Probability Theory: What is the Relationship? 563-566 - Madan Lal Puri:
Fuzzy Sets: An Introduction. 566-571
G
- Kimiko O. Bowman, L. R. Shenton:
Gamma Distribution. 573-575 - Herbert K. H. Lee:
Gaussian Processes. 575-577 - John S. Chipman:
Gauss-Markov Theorem. 577-582 - Yuehua Wu:
General Linear Models. 582-585 - Chris P. Tsokos:
Generalized Extreme Value Family of Probability Distributions. 585-589 - Matthias Fischer:
Generalized Hyperbolic Distributions. 589-590 - Joseph M. Hilbe:
Generalized Linear Models. 591-596 - Brajendra C. Sutradhar:
Generalized Quasi-Likelihood (GQL) Inferences. 597-599 - Mohammad Z. Raqab, Mohamed T. Madi:
Generalized Rayleigh Distribution. 599-603 - Chin Diew Lai:
Generalized Weibull Distributions. 603-605 - Adrienne W. Kemp:
Geometric and Negative Binomial Distributions. 605-608 - Stevan Stevic:
Geometric Mean. 608-609 - Shigeru Mase:
Geostatistics and Kriging Predictors. 609-612 - Olimjon Shukurovich Sharipov:
Glivenko-Cantelli Theorems. 612-614 - G. E. P. Box:
Graphical Analysis of Variance. 614-618 - Nanny Wermuth:
Graphical Markov Models. 618-620
H
- Carlos N. Bouza Herrera, Dante Covarrubias Melgar, Zoila Fernández:
Handling with Missing Observations in Simple Random Sampling and RankedSet Sampling. 621-622 - Jasmin Komic:
Harmonic Mean. 622-624 - Per Kragh Andersen:
Hazard Ratio Estimator. 624-625 - Per Kragh Andersen:
Hazard Regression Models. 625-626 - Raoul LePage:
Heavy-Tailed Distributions. 626-628 - Biljana C. Popovic:
Heteroscedastic Time Series. 628-630 - Vesna Bucevska:
Heteroscedasticity. 630-633 - Fionn Murtagh:
Hierarchical Clustering. 633-635 - Scott L. Hershberger:
Hodges-Lehmann Estimators. 635-636 - Tapabrata Maiti:
Horvitz-Thompson Estimator. 637-638 - Robert L. Mason, John C. Young:
Hotelling's T 2 Statistic. 638-640 - Matthias Fischer:
Hyperbolic Secant Distributions and Generalizations. 640-641 - Anwar H. Joarder:
Hypergeometric Distribution and Its Application in Statistics. 641-643
I
- Sander Greenland:
Identifiability. 645 - Frank P. A. Coolen, Matthias C. M. Troffaes, Thomas Augustin:
Imprecise Probability. 645-648 - Frank P. A. Coolen, Lev V. Utkin:
Imprecise Reliability. 649-650 - Roderick J. Little:
Imputation. 650-652 - Nam-Ky Nguyen, Kalina Trenevska Blagoeva:
Incomplete Block Designs. 653-655 - Geert Molenberghs:
Incomplete Data in Clinical and Epidemiological Studies. 655-656 - Dimitri Sanga:
Index Numbers. 656-660 - Ursula Gather, Sonja Kuhnt, Thomas Mühlenstädt:
Industrial Statistics. 660-662 - Michail Sverchkov:
Inference Under Informative Probability Sampling. 662-664 - Deng-Yuan Huang:
Influential Observations. 665-666 - Evgueni A. Haroutunian:
Information Theory and Statistics. 666-667 - Michael P. Murray:
Instrumental Variables. 667-669 - Steve Drekic:
Insurance, Statistics in. 669-671 - Samir Pradhan:
Integrated Statistical Databases. 671-673 - Sander Greenland:
Interaction. 673-674 - Jürgen Symanzik:
Interactive and Dynamic Statistical Graphics. 674-679 - Silvia Biffignandi:
Internet Survey Methodology: Recent Trends and Developments. 679-682 - Florance Matarise:
Intervention Analysis in Time Series. 682-685 - William D. Johnson, Gary G. Koch:
Intraclass Correlation Coefficient. 685-687 - Kalev Pärna:
Inverse Gaussian Distribution. 687-688 - Man-Lai Tang, Hon Keung Tony Ng:
Inverse Sampling. 688-690 - Kai Wang Ng:
Inversion of Bayes' Formula for Events. 690-695 - Boris L. Rozovskii:
Itô Integral. 695-696
J
- Yoshihiko Maesono:
Jackknife. 697-699 - Christian Heumann:
James-Stein Estimator. 699-701 - Carlos M. Jarque:
Jarque-Bera Test. 701-702 - Peihua Qiu:
Jump Regression Analysis. 702-704
K
- Mohinder S. Grewal:
Kalman Filtering. 705-708 - Irène Gijbels:
Kaplan-Meier Estimator. 709-710 - Tarald O. Kvålseth:
Kappa Coefficient of Agreement. 710-713 - Llukan Puka:
Kendall's Tau. 713-715 - Hira L. Koul, Eustace Swordson:
Khmaladze Transformation. 715-718 - Raul H. C. Lopes:
Kolmogorov-Smirnov Test. 718-720 - James M. Joyce:
Kullback-Leibler Divergence. 720-722 - Edith Seier:
Kurtosis: An Overview. 722-723
L
- Francis Comets:
Large Deviations and Applications. 725-726 - Andrew Rosalsky:
Laws of Large Numbers. 726-729 - Khidir M. Abdelbasit:
Learning Statistics in a Foreign Language. 729-730 - Richard William Farebrother:
Least Absolute Residuals Procedure. 730-732 - Czeslaw Stepniak:
Least Squares. 732-733 - Mohamed Abdel-Hameed:
Lévy Processes. 733-735 - Maja Biljan-August:
Life Expectancy. 735-737 - Jan M. Hoem:
Life Table. 737-738 - Nancy Reid:
Likelihood. 738-741 - Alexandr Alekseevich Borovkov:
Limit Theorems of Probability Theory. 742-744 - Geert Molenberghs:
Linear Mixed Models. 744-746 - Raoul LePage:
Linear Regression Models. 746-751 - Ishwar V. Basawa:
Local Asymptotic Mixed Normal Family. 751-752 - Horst Rinne:
Location-Scale Distributions. 752-754 - John Hinde:
Logistic Normal Distribution. 754-755 - Joseph M. Hilbe:
Logistic Regression. 755-758 - John Hinde:
Logistic Distribution. 758-760 - Johan Fellman:
Lorenz Curve. 760-762 - Wolfgang Bischoff:
Loss Function. 762-763
M
- Judith M. Tanur:
Margin of Error. 765 - Luis Raúl Pericchi:
Marginal Probability: Its Use in Bayesian Statistics as Model Evidence. 765-767 - Gunnar Stefansson:
Marine Research, Statistics in. 767-769 - Siddhartha Chib:
Markov Chain Monte Carlo. 769-772 - Arnoldo Frigessi, Bernd Heidergott:
Markov Chains. 772-775 - Zoran R. Pop-Stojanovic:
Markov Processes. 775-777 - Petra Posedel:
Martingale Central Limit Theorem. 777-779 - Rüdiger Kiesel:
Martingales. 779-781 - Chris P. Tsokos:
Mathematical and Statistical Modeling of Global Warming. 781-786 - D. S. Hooda:
Maximum Entropy Method for Estimation of Missing Data. 786-787 - Czeslaw Stepniak:
Mean, Median and Mode. 787-788 - S. N. Gupta:
Mean, Median, Mode: An Introduction. 788-791 - Jonathan C. Steele, Frank M. Guess, Timothy M. Young, David J. Edwards:
Mean Residual Life. 791-792 - Milan Merkle:
Measure Theory in Probability. 793-795 - Alexander Kukush:
Measurement Error Models. 795-798 - Marat Ibragimov, Rustam Ibragimov:
Measurement of Economic Progress. 798-800 - K. R. Muraleedharan Nair:
Measurement of Uncertainty. 800-803 - Elisabeth D. Svensson:
Measures of Agreement. 803-804 - Reza Modarres:
Measures of Dependence. 804-805 - Roland Fried, Ann Cathrice George:
Median Filters and Extensions. 806 - B. S. Everitt:
Medical Research, Statistics in. 807-808 - Vern T. Farewell, Daniel M. Farewell:
Medical Statistics. 809-811 - Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte:
Meta-Analysis. 811-815 - Graham Dunn:
Method Comparison Studies. 815-816 - Martin L. Hazelton:
Methods of Moments Estimation. 816-817 - Czeslaw Stepniak:
Minimum Variance Unbiased. 817-819 - Atsu S. S. Dorvlo:
Misuse and Misunderstandings of Statistics. 819-820 - Chamont Wang:
Misuse of Statistics. 821-824 - Elena A. Erosheva, Stephen E. Fienberg:
Mixed Membership Models. 824-826 - Wilfried Seidel:
Mixture Models. 827-829 - Walter Zucchini, Gerda Claeskens, Georges Nguefack-Tsague:
Model Selection. 830-833 - Hannes Kazianka, Jürgen Pilz:
Model-Based Geostatistics. 833-836 - Joseph M. Hilbe:
Modeling Count Data. 836-839 - Mahender Singh, Frank M. Guess, Timothy M. Young, Lefei Liu:
Modeling Randomness Using System Dynamics Concepts. 839-841 - Edward L. Melnick:
Modeling Survival Data. 841-844 - Emad-Eldin A. A. Aly:
Models for Z + -Valued Time Series Based on Thinning. 844-847 - Jayaram Sethuraman, Robert O.:
Moderate Deviations. 847-849 - Petar Milin, Olga Hadzic:
Moderating and Mediating Variables in Psychological Research. 849-852 - Jan Beran, Sucharita Ghosh:
Moment Generating Function. 852-854 - Christian Robert:
Monte Carlo Methods in Statistics. 854-858 - Richard D. Gill:
Monty Hall Problem : Solution. 858-863 - Justice I. Odiase, Sunday M. Ogbonmwan:
Mood Test. 863-864 - Czeslaw Stepniak:
Most Powerful Test. 864-866 - Rob J. Hyndman:
Moving Averages. 866-869 - Vlasta Bahovec:
Multicollinearity. 869-870 - Anuska Ferligoj:
Multicriteria Clustering. 870-872 - Theodor J. Stewart:
Multicriteria Decision Analysis. 872-875 - Ingwer Borg:
Multidimensional Scaling. 875-878 - Natasa Kurnoga Zivadinovic:
Multidimensional Scaling: An Introduction. 878-879 - Tom A. B. Snijders:
Multilevel Analysis. 879-882 - George A. F. Seber:
Multinomial Distribution. 882-884 - Xiao-Li Meng:
Multi-Party Inference and Uncongeniality. 884-888 - Toshihiko Morikawa, Takeharu Yamanaka:
Multiple Comparison. 888-890 - Andrew A. Neath, Joseph E. Cavanaugh:
Multiple Comparisons Testing from a Bayesian Perspective. 890-892 - Christian Heumann:
Multiple Imputation. 892-895 - Deng-Yuan Huang:
Multiple Statistical Decision Theory. 895-896 - David Steel:
Multistage Sampling. 896-898 - Willi Sauerbrei, Patrick Royston:
Multivariable Fractional Polynomial Models. 899-902 - Barbara G. Tabachnick, Linda S. Fidell:
Multivariate Analysis of Variance (MANOVA). 902-904 - Joseph F. Hair:
Multivariate Data Analysis: An Overview. 904-907 - Damir Kalpic, Nikica Hlupic:
Multivariate Normal Distributions. 907-910 - Isabel M. Rodrigues, Graciela Boente:
Multivariate Outliers. 910-912 - Pranab Kumar Sen:
Multivariate Rank Procedures: Perspectives and Prospectives. 912-913 - Alan J. Izenman:
Multivariate Reduced-Rank Regression. 913-915 - Nanny Wermuth:
Multivariate Statistical Analysis. 915-920 - Donald R. Jensen:
Multivariate Statistical Distributions. 920-928 - Robert L. Mason, John C. Young:
Multivariate Statistical Process Control. 928-930 - Mark E. Johnson:
Multivariate Statistical Simulation. 930-932 - Mia Hubert, Peter J. Rousseeuw:
Multivariate Techniques: Robustness. 932-935
N
- Barbara M. Fraumeni:
National Account Statistics. 937-939 - Stephen E. Fienberg, Andrew C. Thomas:
Network Models in Probability and Statistics. 939-941 - Ove Frank:
Network Sampling. 941-942 - Leslie S. Smith:
Neural Networks. 942-945 - Czeslaw Stepniak:
Neyman-Pearson Lemma. 945-946 - Marie Davidian:
Nonlinear Mixed Effects Models. 947-950 - Christos P. Kitsos:
Nonlinear Models. 950-953 - Andrej Pázman:
Nonlinear Regression. 953-955 - Howell Tong:
Nonlinear Time Series Analysis. 955-958 - Ricardo Cao:
Nonparametric Density Estimation. 958-959 - Maarten Jansen, Gerda Claeskens:
Nonparametric Estimation. 959-962 - Abdurahim Abdushukurov:
Nonparametric Estimation Based on Incomplete Observations. 962-964 - Michael G. Akritas:
Nonparametric Models for ANOVA and ANCOVA Designs. 964-968 - Frank P. A. Coolen:
Nonparametric Predictive Inference. 968-970 - Thomas P. Hettmansperger:
Nonparametric Rank Tests. 970-972 - Jana Jurecková:
Nonparametric Regression Based on Ranks. 972-974 - Jean D. Opsomer, F. Jay Breidt:
Nonparametric Regression Using Kernel and Spline Methods. 974-977 - Jean Dickinson Gibbons, Subhabrata Chakraborti:
Nonparametric Statistical Inference. 977-979 - H. Öztas Ayhan:
Non-probability Sampling Survey Methods. 979-982 - Jelke Bethlehem:
Nonresponse in Surveys. 982-983 - Katja Lozar Manfreda, Nejc Berzelak, Vasja Vehovar:
Nonresponse in Web Surveys. 984-987 - Judith M. Tanur:
Nonsampling Errors in Surveys. 988-991 - Pierre L'Ecuyer:
Non-uniform Random Variate Generations. 991-995 - Lelys Bravo de Guenni:
Normal Scores. 995-999 - Henry C. Thode:
Normality Tests. 999-1000 - Edith Seier:
Normality Tests: Power Comparison. 1000-1003 - Raymond S. Nickerson:
Null-Hypothesis Significance Testing: Misconceptons. 1003-1006 - James E. Gentle:
Numerical Integration. 1006-1009 - Peter E. Kloeden:
Numerical Methods for Stochastic Differential Equations. 1009-1012 - Pushpa Narayan Rathie:
Normal Distribution, Univariate. 1012-1013
O
- Kimiko O. Bowman, L. R. Shenton:
Omnibus Test for Departures from Normality. 1015-1018 - David Lane:
Online Statistics Education. 1018-1020 - Shahariar Huda:
Optimal Designs for Estimating Slopes. 1020-1023 - Saumen Mandal:
Optimal Regression Design. 1023-1025 - S. Ejaz Ahmed, T. Quadir, Sévérien Nkurunziza:
Optimal Shrinkage Estimation. 1025-1028 - S. Ejaz Ahmed, S. Chitsaz, Saber Fallahpour:
Optimal Shrinkage Preliminary Test Estimation. 1028-1030 - Masanobu Taniguchi:
Optimal Statistical Inference in Financial Engineering. 1030-1032 - Albert N. Shiryaev:
Optimal Stopping Rules. 1032-1034 - Yuriy S. Kharin:
Optimality and Robustness in Statistical Forecasting. 1034-1037 - Anthony C. Atkinson:
Optimum Experimental Design. 1037-1039 - Herbert A. David:
Order Statistics. 1039-1040 - Mohammad Z. Raqab:
Ordered Statistical Data: Recent Developments. 1040-1043 - Toby Lewis:
Outliers. 1043-1045
P
- Markku Rahiala:
Panel Data. 1047-1048 - Chris P. Tsokos:
Parametric and Nonparametric Reliability Analysis. 1048-1051 - David J. Sheskin:
Parametric Versus Nonparametric Tests. 1051-1052 - Lennart Bondesson:
Pareto Sampling. 1052-1054 - Smail Mahdi:
Partial Least Squares Regression Versus Other Methods. 1054-1056 - Drazen Domijan, Bojana Dalbelo Basic:
Pattern Recognition, Aspects of. 1056-1058 - Ravindra B. Bapat:
Permanents in Probability Theory. 1058-1060 - Markus Neuhäuser:
Permutation Tests. 1060-1062 - Francis Hsuan:
Pharmaceutical Statistics: Bioequivalence. 1062-1063 - Inge S. Helland:
Philosophical Foundations of Statistics. 1063-1065 - Martin Peterson:
Philosophy of Probability. 1065-1069 - David Vere-Jones:
Point Processes. 1069-1071 - Lelys Bravo de Guenni:
Poisson Distribution and Its Application in Statistics. 1071-1072 - M. R. Leadbetter:
Poisson Processes. 1073-1075 - Gerhard Tutz:
Poisson Regression. 1075-1077 - Janez Malacic:
Population Projections. 1077-1078 - Harry M. Markowitz:
Portfolio Theory. 1078-1080 - Jayanta K. Ghosh, R. V. Ramamoorthi:
Posterior Consistency in Bayesian Nonparametrics. 1080-1082 - Kevin R. Murphy:
Power Analysis. 1082-1083 - Edgar Acuña:
Preprocessing in Data Mining. 1083-1085 - Joseph L. Gastwirth:
Presentation of Statistical Testimony. 1086-1094 - Ian T. Jolliffe:
Principal Component Analysis. 1094-1096 - James J. Heckman:
Principles Underlying Econometric Estimators for Identifying CausalEffects. 1097-1119 - Herman Rubin:
Prior Bayes: Rubin's View of Statistics. 1119-1120 - Ove Frank:
Probabilistic Network Models. 1120-1121 - David Applebaum:
Probability on Compact Lie Groups. 1121-1123 - Tamás Rudas:
Probability Theory: An Outline. 1123-1126 - Jordi Vallverdú:
Probability, History of. 1126-1128 - Tiberiu Postelnicu:
Probit Analysis. 1128-1131 - Noël H. Fonton, Norbert Hounkonnou:
Promoting, Fostering and Development of Statistics in Developing Countries. 1131-1132 - Paul H. Garthwaite:
Properties of Estimators. 1132-1135 - George A. F. Seber:
Proportions, Inferences, and Comparisons. 1135-1136 - Graham Dunn:
Psychiatry, Statistics in. 1136-1138 - Vesna Busko:
Psychological Testing Theory. 1138-1139 - Joseph S. Rossi:
Psychology, Statistics in. 1139-1142 - Christopher Wlezien:
Public Opinion Polls. 1142-1144 - Raymond Hubbard:
P-Values. 1144-1145 - Dinis Pestana:
P-Values, Combining of. 1145-1147 - Robert T. Smythe:
Pyramid Schemes. 1147-1149
Q
- Paul Embrechts:
Quantitative Risk Management. 1151-1154 - Jasna Horvat:
Questionnaire. 1154-1156 - U. Narayan Bhat:
Queueing Theory. 1156-1158
R
- Robert Gentleman, Wolfgang Huber, Vincent J. Carey:
R Language. 1159-1161 - Takis Konstantopoulos, Zurab Zerakidze, Grigol Sokhadze:
Radon-Nikodým Theorem. 1161-1164 - Nicholas T. Longford:
Random Coefficient Models. 1164-1165 - Mikhail P. Moklyachuk:
Random Field. 1165-1168 - Jack W. Silverstein:
Random Matrix Theory. 1168-1170 - Peter McCullagh:
Random Permutations and Partition Models. 1170-1177 - Czeslaw Stepniak:
Random Variable. 1177-1178 - Rabi Bhattacharya:
Random Walk. 1178-1180 - Cristiano Ferraz:
Randomization. 1180-1182 - Eugene S. Edgington:
Randomization Tests. 1182-1183 - William J. Conover:
Rank Transformations. 1184-1185 - Douglas A. Wolfe:
Ranked Set Sampling. 1185-1188 - S. Panchapakesan:
Ranking and Selection Procedures and Related Inference Problems. 1188-1191 - Elisabeth D. Svensson:
Ranks. 1191-1192 - Arthur Cohen:
Rao-Blackwell Theorem. 1192-1193 - Elisabeth D. Svensson:
Rating Scales. 1194-1195 - Mohammad Ahsanullah, Valery B. Nevzorov:
Record Statistics. 1195-1202 - Hugh A. Chipman:
Recursive Partitioning. 1202-1206 - Shuangzhe Liu, Alan H. Welsh:
Regression Diagnostics. 1206-1208 - Asaf Hajiyev:
Regression Models with Increasing Numbers of Unknown Parameters. 1208-1211 - Francisco José de A. Cysneiros:
Regression Models with Symmetrical Errors. 1211-1212 - Alberto Luceño:
Relationship Between Statistical and Engineering Process Control. 1212-1214 - Lawrence M. Leemis:
Relationships Among Univariate Statistical Distributions. 1214-1217 - Kosto V. Mitov, Michael A. Zazanis:
Renewal Processes. 1217-1221 - Geert Molenberghs:
Repeated Measures. 1221-1222 - Ksenija Dumicic:
Representative Samples. 1222-1224 - Roxana Toma, G. David Garson:
Research Designs. 1224-1227 - Samprit Chatterjee:
Residuals. 1227-1229 - André I. Khuri:
Response Surface Methodology. 1229-1231 - Ali S. Hadi:
Ridge and Surrogate Ridge Regressions. 1232-1234 - Jon R. Kettenring:
Rise of Statistics in the Twenty First Century. 1234-1237 - Michael R. Greenberg:
Risk Analysis. 1237-1240 - Elvezio Ronchetti:
Robust Inference. 1240-1242 - Aishah Hamzah, Mohammed Nasser:
Robust Regression Estimation in Generalized Linear Models. 1242-1244 - Ricardo A. Maronna:
Robust Statistical Methods. 1244-1248 - Peter J. Huber:
Robust Statistics. 1248-1251 - Lino Sant:
ROC Curves. 1251-1254 - Ashok Sahai, Miodrag Lovric:
Role of Statistics. 1254-1258 - James J. Cochran:
Role of Statistics in Advancing Quantitative Education. 1258-1262 - Dimitri Sanga:
Role of Statistics: Developing Country Perspective. 1262-1263 - Donald B. Rubin, L. John:
Rubin Causal Model. 1263-1265
S
- Juan Carlos Abril:
Saddlepoint Approximations. 1267-1269 - Michael P. Cohen:
Sample Size Determination. 1269-1271 - Peter Lynn:
Sample Survey Methods. 1271-1273 - Yves Tillé:
Sampling Algorithms. 1273-1274 - David W. Stockburger:
Sampling Distribution. 1274-1277 - Jill M. Montaquila, Graham Kalton:
Sampling From Finite Populations. 1277-1281 - Masayuki Uchida, Nakahiro Yoshida:
Sampling Problems for Stochastic Processes. 1281-1283 - Karl L. Wuensch:
Scales of Measurement. 1283-1285 - Donald W. Zimmerman:
Scales of Measurement and Choice of Statistical Methods. 1285-1288 - Svend Hylleberg:
Seasonal Integration and Cointegration in Economic Time Series. 1289-1292 - Robert M. Kunst:
Seasonality. 1292-1294 - Raymond Zepp:
Selection of Appropriate Statistical Methods in Developing Countries. 1294-1295 - Yingcun Xia:
Semiparametric Regression Models. 1296 - Vijay K. Rohatgi:
Semi-Variance in Finance. 1297-1298 - Andrea Saltelli, Paola Annoni:
Sensitivity Analysis. 1298-1301 - Per Bruun Brockhoff:
Sensometrics. 1302-1305 - Walter W. Piegorsch, William J. Padgett:
Sequential Probability Ratio Test. 1305-1308 - Estate V. Khmaladze:
Sequential Ranks. 1308-1311 - Nitis Mukhopadhyay:
Sequential Sampling. 1311-1314 - Johan Fellman:
Sex Ratio at Birth. 1314-1316 - Peter Sprent:
Sign Test. 1316-1317 - Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte:
Significance Testing: An Overview. 1318-1321 - Henrik Olsson, Mirta Galesic:
Significance Tests, History and Logic of. 1321-1323 - Bruno Lecoutre:
Significance Tests: A Critique. 1323-1325 - Sanat K. Sarkar:
Simes' Test in Multiple Testing. 1325-1327 - Sung H. Park:
Simple Linear Regression. 1327-1328 - Roger E. Kirk:
Simple Random Sample. 1328-1330 - Zhi Geng:
Simpson's Paradox. 1330-1332 - Lennart F. Hoogerheide, Herman K. van Dijk:
Simulation Based Bayes Procedures for Model Structures with Non-Elliptical Posteriors. 1332-1335 - Anatoly A. Zhigljavsky:
Singular Spectrum Analysis for Time Series. 1335-1337 - Rick L. Edgeman:
SIPOC and COPIS: Business Flow - Business Optimization Connection in a Six Sigma Context. 1337-1338 - David M. Levine:
Six Sigma. 1339-1340 - Paul von Hippel:
Skewness. 1340-1342 - Adelchi Azzalini:
Skew-Normal Distribution. 1342-1344 - Adelchi Azzalini:
Skew-Symmetric Families of Distributions. 1344-1346 - Danny Pfeffermann:
Small Area Estimation. 1346-1349 - Grace Wahba:
Smoothing Splines. 1349-1353 - Adrian W. Bowman:
Smoothing Techniques. 1353-1355 - Tom A. B. Snijders:
Social Network Analysis. 1356-1358 - Vassiliy Simchera:
Social Statistics. 1358-1359 - Gudmund R. Iversen:
Sociology, Statistics in. 1359-1361 - Peter J. Diggle:
Spatial Point Pattern. 1361-1363 - Jürgen Pilz:
Spatial Statistics. 1363-1368 - Peter Naeve:
Spectral Analysis. 1368-1371 - Stephen R. Clarke, John M. Norman:
Sport, Statistics in. 1371-1373 - Rade Stankic, Jasna Soldic-Aleksic:
Spreadsheets in Statistics. 1373-1374 - Simon J. Sheather:
Spurious Correlation. 1374-1377 - James M. Joyce:
St. Petersburg Paradox. 1377-1378 - Sekander Hayat Khan M.:
Standard Deviation. 1378-1379 - David S. Jones:
Statistical Analysis of Drug Release Data Within the Pharmaceutical Sciences. 1380-1383 - David Todem:
Statistical Analysis of Longitudinal and Correlated Data. 1383-1386 - Jerome P. Reiter:
Statistical Approaches to Protecting Confidentiality in Public Use Data. 1386-1388 - Mark E. Johnson, Charles C. Watson:
Statistical Aspects of Hurricane Modeling and Forecasting. 1388-1390 - Rolf Sundberg:
Statistical Consulting. 1390-1392 - Jürgen Pilz:
Statistical Design of Experiments (DOE). 1392-1396 - Kalimuthu Krishnamoorthy:
Statistical Distributions: An Overview. 1396-1401 - David J. Fletcher:
Statistical Ecology. 1401-1404 - Abdelhakim Necir:
Statistical Estimation of Actuarial Risk Measures for Heavy-Tailed Claim Amounts. 1404-1406 - Subhash R. Lele, Mark L. Taper:
Statistical Evidence. 1406-1409 - Walter Krämer:
Statistical Fallacies. 1409-1412 - Shlomo S. Sawilowsky:
Statistical Fallacies: Misconceptions, and Myths. 1412-1417 - Susan R. Wilson:
Statistical Genetics. 1417-1418 - Richard A. Johnson:
Statistical Inference. 1418-1420 - Alexander S. Helevo:
Statistical Inference for Quantum Systems. 1420-1423 - M. B. Rajarshi:
Statistical Inference for Stochastic Processes. 1423-1430 - Subhash R. Lele, Mark L. Taper:
Statistical Inference in Ecology. 1430-1433 - Aris Spanos:
Statistical Inference: An Overview. 1433-1439 - Joan Garfield:
Statistical Literacy, Reasoning, and Thinking. 1439-1442 - Reinhard Viertl:
Statistical Methods for Non-Precise Data. 1442-1444 - Giovanni Filardo, John Adams, Hon Keung Tony Ng:
Statistical Methods in Epidemiology. 1444-1447 - Mhamed-Ali El-Aroui:
Statistical Modeling of Financial Markets. 1447-1450 - Anatoly A. Zhigljavsky:
Statistical Modelling in Market Research. 1450-1452 - Florentina T. Hristea:
Statistical Natural Language Processing. 1452-1453 - Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis:
Statistical Pattern Recognition Principles. 1453-1457 - Vassiliy Simchera:
Statistical Publications, History of. 1458-1459 - M. Ivette Gomes:
Statistical Quality Control. 1459-1463 - Fugee Tsung, Yanfen Shang, Xianghui Ning:
Statistical Quality Control: Recent Advances. 1463-1466 - Debasis Kundu:
Statistical Signal Processing. 1466-1468 - Jan M. Hoem:
Statistical Significance. 1468-1470 - Jan de Leeuw:
Statistical Software: An Overview. 1470-1473 - Adnan M. Awad:
Statistical View of Information Theory. 1473-1475 - Parinbanu Kurji:
Statistics and Climate Change. 1475-1477 - Kyle Siegrist:
Statistics and Gambling. 1477-1479 - Mary W. Gray:
Statistics and the Law. 1479-1482 - Richard L. Scheaffer:
Statistics Education. 1482-1484 - Anthony C. Davison:
Statistics of Extremes. 1484-1487 - Michael G. Schimek:
Statistics on Ranked Lists. 1487-1491 - Aboubakar Maitournam:
Statistics Targeted Clinical Trials Stratified and Personalized Medicines. 1491-1493 - Oscar Sheynin, Miodrag Lovric:
Statistics, History of. 1493-1504 - David J. Hand:
Statistics: An Overview. 1504-1509 - William I. Notz:
Statistics: Controversies in Practice. 1509-1510 - John A. Nelder:
Statistics: Nelder's View. 1510-1513 - Vesna Bucevska:
Stem-and-Leaf Plot. 1513-1514 - Mohamed T. Madi:
Step-Stress Accelerated Life Tests. 1514-1517 - Alexandra Rodkina, Cónall Kelly:
Stochastic Difference Equations and Applications. 1517-1520 - Peter E. Kloeden:
Stochastic Differential Equations. 1520-1521 - Anatoly A. Zhigljavsky:
Stochastic Global Optimization. 1521-1524 - Christos H. Skiadas:
Stochastic Modeling, Recent Advances in. 1524-1526 - Anil G. Ladde, Gangaram S. Ladde:
Stochastic Modeling Analysis and Applications. 1526-1531 - Alexander D. Kolesnik:
Stochastic Models of Transport Processes. 1531-1534 - Rolando Rebolledo:
Stochastic Processes. 1534-1539 - Leda D. Minkova:
Stochastic Processes: Applications in Finance and Insurance. 1539-1541 - Venkatarama Krishnan:
Stochastic Processes: Classification. 1541-1547 - Michael P. Cohen:
Stratified Sampling. 1547-1550 - Murray D. Burke:
Strong Approximations in Probability and Statistics. 1550-1552 - Scott L. Hershberger:
Structural Equation Models. 1552-1555 - Juan Carlos Abril:
Structural Time Series Models. 1555-1558 - Bronius Grigelionis:
Student's t -Distribution. 1558-1559 - Damir Kalpic, Nikica Hlupic, Miodrag Lovric:
Student's t-Tests. 1559-1563 - David W. Scott:
Sturges' and Scott's Rules. 1563-1566 - Nitis Mukhopadhyay:
Sufficient Statistical Information. 1566-1569 - Nitis Mukhopadhyay:
Sufficient Statistics. 1569-1572 - Boris Iglewicz:
Summarizing Data with Boxplots. 1572-1575 - Gad Nathan:
Superpopulation Models in Survey Sampling. 1575-1577 - Marianne Frisén:
Surveillance. 1577-1579 - D. R. Cox:
Survival Data. 1580-1582
T
- Luisa Turrin Fernholz:
Target Estimation: A New Approach to Parametric Estimation. 1583-1585 - James M. Lepkowski:
Telephone Sampling: Frames and Selection Techniques. 1585-1586 - John Haywood, Estate V. Khmaladze:
Testing Exponentiality of Distribution. 1587-1590 - Mohamed Y. El-Bassiouni:
Testing Variance Components in Mixed Linear Models. 1590-1592 - Basilio de Bragança Pereira:
Tests for Discriminating Separate or Non-Nested Models. 1592-1595 - Natasa Erjavec:
Tests for Homogeneity of Variance. 1595-1596 - Michael A. Stephens:
Tests of Fit Based on The Empirical Distribution Function. 1597-1598 - Bruno N. Rémillard:
Tests of Independence. 1598-1601 - Peter J. Brockwell:
Time Series. 1601-1605 - Dahud K. Shangodoyin:
Time Series Models to Determine the Death Rate of a Given Disease. 1605-1607 - William W. S. Wei:
Time Series Regression. 1607-1609 - Paul P. Biemer:
Total Survey Error. 1610-1612 - Stephen L. J. Smith:
Tourism Statistics. 1612-1613 - Tommaso Proietti:
Trend Estimation. 1613-1616 - Roberto S. Mariano:
Two-Stage Least Squares. 1616-1618
U
- Mikhail Nikulin, Vassiliy Voinov:
Unbiased Estimators and Their Applications. 1619-1621 - Vesna Jevremovic:
Uniform Distribution in Statistics. 1621-1623 - Kai-Tai Fang:
Uniform Experimental Design. 1623-1625 - Pierre L'Ecuyer:
Uniform Random Number Generators. 1625-1630 - Adrienne W. Kemp:
Univariate Discrete Distributions: An Overview. 1630-1634 - Neville C. Weber:
U -Statistics. 1634-1635
V
- Elisabeth D. Svensson:
Validity of Scales. 1637-1639 - Rabija Somun-Kapetanovic:
Variables. 1639-1640 - Abdulbari Bener, Miodrag Lovric:
Variance. 1640-1642 - Tarald O. Kvålseth:
Variation for Categorical Variables. 1642-1645 - Helmut Lütkepohl:
Vector Autoregressive Models. 1645-1647
W
- Milan Merkle:
Weak Convergence of Probability Measures. 1649-1651 - William J. Padgett:
Weibull Distribution. 1651-1653 - Joaquim F. Pinto da Costa:
Weighted Correlation. 1653-1655 - Aluísio de Souza Pinheiro:
Weighted U -Statistics. 1655-1656 - Markus Neuhäuser:
Wilcoxon-Mann-Whitney Test. 1656-1658 - Denise Rey, Markus Neuhäuser:
Wilcoxon-Signed-Rank Test. 1658-1659
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