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The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald and later proven to be optimal by Wald and Jacob Wolfowitz. Neyman and Pearson's 1933 result inspired Wald to reformulate it as a sequential analysis problem. The Neyman-Pearson lemma, by contrast, offers a rule of thumb for when all the data is collected (and its likelihood ratio known).

Attributes	Values
rdf:type	cricketer yago:WikicatSequentialMethods yago:WikicatStatisticalTests yago:Ability105616246 yago:Abstraction100002137 yago:Cognition100023271 yago:Experiment105798043 yago:HigherCognitiveProcess105770664 yago:Inquiry105797597 yago:Know-how105616786 yago:Method105660268 yago:ProblemSolving105796750 yago:Process105701363 yago:PsychologicalFeature100023100 yago:Thinking105770926 yago:Trial105799212
rdfs:label	Sequential probability ratio test (en) Sequentieller Likelihood-Quotienten-Test (de)
rdfs:comment	Ein Sequentieller Likelihood-Quotienten-Test kurz SLQT (englisch Sequential Probability Ratio Test, kurz SPRT oder Sequential Likelihood Ratio Test, kurz SLRT), auch sequentieller Plausibilitätsquotiententest genannt, ist in der Statistik ein sequentieller Hypothesentest. Statt mit einem festen Stichprobenumfang einen statistischen Test durchzuführen, wird beim nach jeder gemachten Beobachtung aufgrund aller bisher erfassten Daten getestet, ob eine Entscheidung für oder wider der Nullhypothese getroffen werden kann. Sollte dies nicht der Fall sein, wird die Beobachtung solange fortgesetzt, bis diese Entscheidung getroffen werden kann. (de) The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald and later proven to be optimal by Wald and Jacob Wolfowitz. Neyman and Pearson's 1933 result inspired Wald to reformulate it as a sequential analysis problem. The Neyman-Pearson lemma, by contrast, offers a rule of thumb for when all the data is collected (and its likelihood ratio known). (en)
dcterms:subject	Sequential methods Statistical tests Mathematical psychology
Wikipage page ID	7970283 (xsd:integer)
Wikipage revision ID	1117111883 (xsd:integer)
Link from a Wikipage to another Wikipage	Sequential methods Python (programming language) Rule of thumb David Spiegelhalter Null hypothesis Neyman–Pearson lemma Likelihood-ratio test Slope Computerized classification test Parallel lines Abraham Wald Addison-Wesley Alternative hypothesis Exponential distribution Item response theory Probability density function Quality control Harold Shipman Jacob Wolfowitz Statistical tests High-stakes testing Mathematical psychology CUSUM Classical test theory R (programming language) Wald test Standard-setting study Statistical significance Sequential analysis Sampling frequency Hypothesis testing Parameter estimation Stopping rule
Link from a Wikipage to an external page	https://cran.r-project.org/web/packages/SPRT https://github.com/Testispuncher/Sequential-Probability-Ratio-Test
sameAs	Sequential probability ratio test Sequential probability ratio test Sequential probability ratio test Sequential probability ratio test Sequential probability ratio test
dbp:wikiPageUsesTemplate	dbt:Citation_needed dbt:Cite_book dbt:ISBN dbt:Mvar dbt:Redirect
has abstract	Ein Sequentieller Likelihood-Quotienten-Test kurz SLQT (englisch Sequential Probability Ratio Test, kurz SPRT oder Sequential Likelihood Ratio Test, kurz SLRT), auch sequentieller Plausibilitätsquotiententest genannt, ist in der Statistik ein sequentieller Hypothesentest. Statt mit einem festen Stichprobenumfang einen statistischen Test durchzuführen, wird beim nach jeder gemachten Beobachtung aufgrund aller bisher erfassten Daten getestet, ob eine Entscheidung für oder wider der Nullhypothese getroffen werden kann. Sollte dies nicht der Fall sein, wird die Beobachtung solange fortgesetzt, bis diese Entscheidung getroffen werden kann. (de) The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald and later proven to be optimal by Wald and Jacob Wolfowitz. Neyman and Pearson's 1933 result inspired Wald to reformulate it as a sequential analysis problem. The Neyman-Pearson lemma, by contrast, offers a rule of thumb for when all the data is collected (and its likelihood ratio known). While originally developed for use in quality control studies in the realm of manufacturing, SPRT has been formulated for use in the computerized testing of human examinees as a termination criterion. (en)
gold:hypernym	Test
prov:wasDerivedFrom	wikipedia-en:Sequential_probability_ratio_test?oldid=1117111883&ns=0
page length (characters) of wiki page	11844 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Sequential_probability_ratio_test
is Link from a Wikipage to another Wikipage of	SPRT List of important publications in statistics Stockfish (chess) Computerized adaptive testing Computerized classification test Abraham Wald CUSUM Wald test List of statistics articles Sequential analysis Sequential Probability Ratio Test Outline of statistics
is Wikipage redirect of	SPRT Sequential Probability Ratio Test
is known for of	Abraham Wald
is foaf:primaryTopic of	wikipedia-en:Sequential_probability_ratio_test

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