Matches in SemOpenAlex for { <https://semopenalex.org/work/W2079700137> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2079700137 endingPage "87" @default.
- W2079700137 startingPage "79" @default.
- W2079700137 abstract "Sample size determination is among the most commonly encountered tasks in statistical practice. A broad range of frequentist and Bayesian methods for sample size determination can be described as choosing the smallest sample that is sufficient to achieve some set of goals. An example for the frequentist is seeking the smallest sample size that is sufficient to achieve a desired power at a specified significance level. An example for the Bayesian is seeking the smallest sample size necessary to obtain, in expectation, a desired rate of correct classification of the hypothesis as true or false. This article explores parallels between Bayesian and frequentist methods for determining sample size. We provide a simple but general and pragmatic framework for investigating the relationship between the two approaches, based on identifying mappings to connect the Bayesian and frequentist inputs necessary to obtain the same sample size. We illustrate this mapping with examples, highlighting a somewhat surprising “approximate functional correspondence” between power-based and information-based optimal sample sizes." @default.
- W2079700137 created "2016-06-24" @default.
- W2079700137 creator A5050977500 @default.
- W2079700137 creator A5064897597 @default.
- W2079700137 creator A5073571977 @default.
- W2079700137 date "2005-02-01" @default.
- W2079700137 modified "2023-10-16" @default.
- W2079700137 title "Relationship Between Bayesian and Frequentist Sample Size Determination" @default.
- W2079700137 cites W1560253801 @default.
- W2079700137 cites W1971051509 @default.
- W2079700137 cites W1976350511 @default.
- W2079700137 cites W1994156022 @default.
- W2079700137 cites W1995348800 @default.
- W2079700137 cites W2000015806 @default.
- W2079700137 cites W2006085898 @default.
- W2079700137 cites W2024013235 @default.
- W2079700137 cites W2074319784 @default.
- W2079700137 cites W2076580309 @default.
- W2079700137 cites W2146025848 @default.
- W2079700137 cites W2501308383 @default.
- W2079700137 cites W4243184868 @default.
- W2079700137 doi "https://doi.org/10.1198/000313005x21069" @default.
- W2079700137 hasPublicationYear "2005" @default.
- W2079700137 type Work @default.
- W2079700137 sameAs 2079700137 @default.
- W2079700137 citedByCount "46" @default.
- W2079700137 countsByYear W20797001372012 @default.
- W2079700137 countsByYear W20797001372013 @default.
- W2079700137 countsByYear W20797001372015 @default.
- W2079700137 countsByYear W20797001372016 @default.
- W2079700137 countsByYear W20797001372017 @default.
- W2079700137 countsByYear W20797001372018 @default.
- W2079700137 countsByYear W20797001372019 @default.
- W2079700137 countsByYear W20797001372020 @default.
- W2079700137 countsByYear W20797001372021 @default.
- W2079700137 countsByYear W20797001372022 @default.
- W2079700137 countsByYear W20797001372023 @default.
- W2079700137 crossrefType "journal-article" @default.
- W2079700137 hasAuthorship W2079700137A5050977500 @default.
- W2079700137 hasAuthorship W2079700137A5064897597 @default.
- W2079700137 hasAuthorship W2079700137A5073571977 @default.
- W2079700137 hasConcept C105795698 @default.
- W2079700137 hasConcept C107673813 @default.
- W2079700137 hasConcept C129848803 @default.
- W2079700137 hasConcept C149782125 @default.
- W2079700137 hasConcept C159985019 @default.
- W2079700137 hasConcept C160234255 @default.
- W2079700137 hasConcept C162376815 @default.
- W2079700137 hasConcept C185592680 @default.
- W2079700137 hasConcept C192562407 @default.
- W2079700137 hasConcept C198531522 @default.
- W2079700137 hasConcept C204323151 @default.
- W2079700137 hasConcept C33923547 @default.
- W2079700137 hasConcept C41008148 @default.
- W2079700137 hasConcept C43617362 @default.
- W2079700137 hasConcept C75455068 @default.
- W2079700137 hasConcept C96608239 @default.
- W2079700137 hasConceptScore W2079700137C105795698 @default.
- W2079700137 hasConceptScore W2079700137C107673813 @default.
- W2079700137 hasConceptScore W2079700137C129848803 @default.
- W2079700137 hasConceptScore W2079700137C149782125 @default.
- W2079700137 hasConceptScore W2079700137C159985019 @default.
- W2079700137 hasConceptScore W2079700137C160234255 @default.
- W2079700137 hasConceptScore W2079700137C162376815 @default.
- W2079700137 hasConceptScore W2079700137C185592680 @default.
- W2079700137 hasConceptScore W2079700137C192562407 @default.
- W2079700137 hasConceptScore W2079700137C198531522 @default.
- W2079700137 hasConceptScore W2079700137C204323151 @default.
- W2079700137 hasConceptScore W2079700137C33923547 @default.
- W2079700137 hasConceptScore W2079700137C41008148 @default.
- W2079700137 hasConceptScore W2079700137C43617362 @default.
- W2079700137 hasConceptScore W2079700137C75455068 @default.
- W2079700137 hasConceptScore W2079700137C96608239 @default.
- W2079700137 hasIssue "1" @default.
- W2079700137 hasLocation W20797001371 @default.
- W2079700137 hasOpenAccess W2079700137 @default.
- W2079700137 hasPrimaryLocation W20797001371 @default.
- W2079700137 hasRelatedWork W1971976127 @default.
- W2079700137 hasRelatedWork W2079700137 @default.
- W2079700137 hasRelatedWork W232830309 @default.
- W2079700137 hasRelatedWork W2736013191 @default.
- W2079700137 hasRelatedWork W2785156871 @default.
- W2079700137 hasRelatedWork W3021628770 @default.
- W2079700137 hasRelatedWork W3113397702 @default.
- W2079700137 hasRelatedWork W4297513322 @default.
- W2079700137 hasRelatedWork W4317538565 @default.
- W2079700137 hasRelatedWork W53693348 @default.
- W2079700137 hasVolume "59" @default.
- W2079700137 isParatext "false" @default.
- W2079700137 isRetracted "false" @default.
- W2079700137 magId "2079700137" @default.
- W2079700137 workType "article" @default.