[BOOK][B] Computational Statistics in Data Science

WW Piegorsch, RA Levine, HH Zhang, TCM Lee - 2022 - books.google.com
… into how computational statistics may progress in this age of big data and transdisciplinary
data science. It … computational infrastructure for data analysis through R software; for making …

Design and analysis of optimization algorithms using computational statistics

T Bartz–Beielstein, KE Parsopoulos… - … & Computational …, 2004 - Wiley Online Library
analysis of optimization algorithms. The proposed technique employs computational statistic
… combines methods from computational statistics and exploratory data analysis to improve (…

[BOOK][B] Symbolic data analysis: Conceptual statistics and data mining

L Billard, E Diday - 2012 - books.google.com
Computational Statistics is comprised of practical guides and cutting edge research books on
new developments in computational statistics… as realizations in the interval [73, 167]; or the …

[BOOK][B] Density estimation for statistics and data analysis

BW Silverman - 2018 - taylorfrancis.com
data set and to explore how density estimates can be used, both in their own right and as
an ingredient of other statistical … A projection pursuit algorithm for exploratory data analysis. …

[BOOK][B] Assignment methods in combinational data analysis

L Hubert - 1986 - books.google.com
… This book carries the same logic over to a variety of different data analysis situations. In
all cases, the concern is with evaluating some observed index in relation to a specific …

Robust statistics in data analysis—A review: Basic concepts

M Daszykowski, K Kaczmarek… - … and intelligent laboratory …, 2007 - Elsevier
… described by such statistics as data mean, standard … of the data, multivariate chemometric
data analysis techniques ought to be applied. Steps of data analysis usually lead through data

[BOOK][B] Computational statistical mechanics

WG Hoover - 2012 - books.google.com
… This book aims to use the tools of computation and simulation and the useful … of statistical
mechanics established by Maxwell, Boltzmann, and Gibbs to the concepts and computational

Principal component analysis of interval data: a symbolic data analysis approach

CN Lauro, F Palumbo - Computational statistics, 2000 - Springer
Summary The present paper deals with the study of continuous interval data by means of
suitable Principal Component Analyses (PCA). Statistical units described by interval data can …

A non-parametric method to estimate the number of clusters

A Fujita, DY Takahashi, AG Patriota - Computational Statistics & Data …, 2014 - Elsevier
statistic, a non-parametric and data-driven method for determining the number of clusters in
a dataset. The slope statistic … and does not require intensive computations. Furthermore, it …

Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data

M Rachdi, A Laksaci, J Demongeot, A Abdali… - Computational Statistics …, 2014 - Elsevier
… The usefulness of the estimator is highlighted through the exact expression involved in the
leading terms of the quadratic error, and by conducting a computational investigation to show …