國立虎尾科技大學 |

The Significance Test Controversy Revisited = The Fiducial Bayesian Alternative /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Significance Test Controversy Revisited/ by Bruno Lecoutre, Jacques Poitevineau.
其他題名:	The Fiducial Bayesian Alternative /
作者:	Lecoutre, Bruno.
其他作者:	Poitevineau, Jacques.
面頁冊數:	XIII, 206 p. 24 illus., 6 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Biostatistics. -
電子資源:	https://doi.org/10.1007/978-3-662-65705-8
ISBN:	9783662657058

The Significance Test Controversy Revisited = The Fiducial Bayesian Alternative /
Lecoutre, Bruno.

The Significance Test Controversy RevisitedThe Fiducial Bayesian Alternative /[electronic resource] :by Bruno Lecoutre, Jacques Poitevineau. - 2nd ed. 2022. - XIII, 206 p. 24 illus., 6 illus. in color.online resource.

Introduction -- Preamble - Frequentist and Bayesian Inference -- The Fisher, Neyman-Pearson and Jeffreys Views of Statistical Tests -- GHOST: An Officially Recommended Practice -- The Significance Test Controversy Revisited -- Reporting Effect Sizes: The New Star System -- Reporting Confidence Intervals: A Paradoxical Situation -- Basic Fiducial Bayesian Procedures for Inference About Means -- Generalizations and Methodological Considerations for ANOVA -- Conclusion -- Index.

This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys’ Bayesian concept of the role of statistical inference, in experimental investigations. Minimizing the technical aspects, the studies focuses mainly on methodological contributions. The first part of the book gives an overview of the major approaches to statistical testing and an enlightening discussion of the philosophies of Fisher, Neyman-Pearson and Jeffrey. The conceptual and methodological implications of current practices of reporting effect sizes and confidence intervals are also examined and challenged. This sheds new light on the "significance testing controversy" and provides an appropriate Bayesian framework for a comprehensive approach to the analysis and interpretation of experimental data. The second part of the book provides concrete Bayesian routine procedures that bypass common misuses of significance testing and are readily applicable in a wide range of real applications. This approach addresses the need for objective reporting of experimental data, that is acceptable to the scientific community. This is emphasized by the name fiducial (from the Latin fiducia = confidence). The fiducial Bayesian procedures provide the reader with a real opportunity to think sensibly about problems of statistical inference. This book prepares students and researchers to critically read statistical analyses reported in the literature and equips them with an appropriate alternative to the use of significance testing. .

ISBN: 9783662657058

Standard No.: 10.1007/978-3-662-65705-8doiSubjects--Topical Terms:

783654
Biostatistics.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

The Significance Test Controversy Revisited = The Fiducial Bayesian Alternative /
LDR:03415nam a22003855i 4500 001 1084292
003 DE-He213
005 20221013213633.0
007 cr nn 008mamaa
008 221228s2022 gw | s |||| 0|eng d
020 $a 9783662657058 $9 978-3-662-65705-8
024 7 $a 10.1007/978-3-662-65705-8 $2 doi
035 $a 978-3-662-65705-8
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Lecoutre, Bruno. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1390555
245 1 4 $a The Significance Test Controversy Revisited $h [electronic resource] : $b The Fiducial Bayesian Alternative / $c by Bruno Lecoutre, Jacques Poitevineau.
250 $a 2nd ed. 2022.
264 1 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2022.
300 $a XIII, 206 p. 24 illus., 6 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction -- Preamble - Frequentist and Bayesian Inference -- The Fisher, Neyman-Pearson and Jeffreys Views of Statistical Tests -- GHOST: An Officially Recommended Practice -- The Significance Test Controversy Revisited -- Reporting Effect Sizes: The New Star System -- Reporting Confidence Intervals: A Paradoxical Situation -- Basic Fiducial Bayesian Procedures for Inference About Means -- Generalizations and Methodological Considerations for ANOVA -- Conclusion -- Index.
520 $a This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys’ Bayesian concept of the role of statistical inference, in experimental investigations. Minimizing the technical aspects, the studies focuses mainly on methodological contributions. The first part of the book gives an overview of the major approaches to statistical testing and an enlightening discussion of the philosophies of Fisher, Neyman-Pearson and Jeffrey. The conceptual and methodological implications of current practices of reporting effect sizes and confidence intervals are also examined and challenged. This sheds new light on the "significance testing controversy" and provides an appropriate Bayesian framework for a comprehensive approach to the analysis and interpretation of experimental data. The second part of the book provides concrete Bayesian routine procedures that bypass common misuses of significance testing and are readily applicable in a wide range of real applications. This approach addresses the need for objective reporting of experimental data, that is acceptable to the scientific community. This is emphasized by the name fiducial (from the Latin fiducia = confidence). The fiducial Bayesian procedures provide the reader with a real opportunity to think sensibly about problems of statistical inference. This book prepares students and researchers to critically read statistical analyses reported in the literature and equips them with an appropriate alternative to the use of significance testing. .
650 2 4 $a Biostatistics. $3 783654
650 2 4 $a Bayesian Inference. $3 1211345
650 1 4 $a Statistical Theory and Methods. $3 671396
650 0 $a Biometry. $3 598268
650 0 $a Statistics . $3 1253516
700 1 $a Poitevineau, Jacques. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1390556
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783662657041
776 0 8 $i Printed edition: $z 9783662657065
856 4 0 $u https://doi.org/10.1007/978-3-662-65705-8
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)