國立高雄大學圖資館 |

Language: English

Back

Permutation statistical methodsan in...

Berry, Kenneth J.

Permutation statistical methodsan integrated approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Permutation statistical methodsby Kenneth J. Berry, Paul W. Mielke, Jr., Janis E. Johnston.
Reminder of title:	an integrated approach /
Author:	Berry, Kenneth J.
other author:	Mielke, Jr., Paul W.
Published:	Cham :Springer International Publishing :2016.
Description:	xx, 622 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-28770-6
ISBN:	9783319287706$q(electronic bk.)

Permutation statistical methodsan integrated approach /
Berry, Kenneth J.

Permutation statistical methodsan integrated approach /[electronic resource] :by Kenneth J. Berry, Paul W. Mielke, Jr., Janis E. Johnston. - Cham :Springer International Publishing :2016. - xx, 622 p. :ill., digital ;24 cm.

Preface -- 1.Introduction -- 2.Completely Randomized Data -- 3.Randomized Designs: Interval Data -- 4.Regression Analysis of Interval Data -- 5.Randomized Designs: Ordinal Data, I -- 6.Randomized Designs: Ordinal Data, II -- 7.Randomized Designs: Nominal Data -- 8.Randomized Designs: Nominal Data -- 9.Randomized Block Designs: Interval Data -- 10.Randomized Block Designs: Ordinal Data -- 11.Randomized Block Designs: Nominal Data -- Epilogue -- References -- Author Index -- Subject Index.

This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. This research monograph addresses a statistically-informed audience, and can also easily serve as a textbook in a graduate course in departments such as statistics, psychology, or biology. In particular, the audience for the book is teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology.

ISBN: 9783319287706$q(electronic bk.)

Standard No.: 10.1007/978-3-319-28770-6doi

Publisher. No.: nam a2200313 a 4500Subjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Permutation statistical methodsan integrated approach /
LDR:02856nmm a2200325 a 4500 001 489415
003 DE-He213
005 20161101170052.0
006 m d
007 cr nn 008maaau
008 161213s2016 gw s 0 eng d
020 $a 9783319287706$q(electronic bk.)
020 $a 9783319287683$q(paper)
024 7 # $a 10.1007/978-3-319-28770-6 $2 doi
028 2 0 $a nam a2200313 a 4500
035 $a 978-3-319-28770-6
040 $a GP $c GP
041 0 # $a eng
050 # 4 $a QA276
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .B534 2016
100 1 $a Berry, Kenneth J. $3 205954
245 1 0 $a Permutation statistical methods $h [electronic resource] : $b an integrated approach / $c by Kenneth J. Berry, Paul W. Mielke, Jr., Janis E. Johnston.
260 # $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xx, 622 p. : $b ill., digital ; $c 24 cm.
505 0 # $a Preface -- 1.Introduction -- 2.Completely Randomized Data -- 3.Randomized Designs: Interval Data -- 4.Regression Analysis of Interval Data -- 5.Randomized Designs: Ordinal Data, I -- 6.Randomized Designs: Ordinal Data, II -- 7.Randomized Designs: Nominal Data -- 8.Randomized Designs: Nominal Data -- 9.Randomized Block Designs: Interval Data -- 10.Randomized Block Designs: Ordinal Data -- 11.Randomized Block Designs: Nominal Data -- Epilogue -- References -- Author Index -- Subject Index.
520 # $a This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. This research monograph addresses a statistically-informed audience, and can also easily serve as a textbook in a graduate course in departments such as statistics, psychology, or biology. In particular, the audience for the book is teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology.
650 # 0 $a Mathematical statistics. $3 181877
650 # 0 $a Permutations. $3 189594
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a History of Science. $3 212526
700 1 # $a Mielke, Jr., Paul W. $3 747906
700 1 # $a Johnston, Janis E. $3 680642
710 2 # $a SpringerLink (Online service) $3 273601
773 0 # $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28770-6
950 $a Mathematics and Statistics (Springer-11649)