Adaptive Tests of Significance Using Permutations of Residuals with R and SAS (Record no. 13425)

MARC details
000 -LEADER
fixed length control field 02435nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251119113824.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470922255
037 ## - SOURCE OF ACQUISITION
Terms of availability Textbook
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B284 Q2 TB
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name O'Gorman, Thomas W
Relator term author
9 (RLIN) 852175
245 #0 - TITLE STATEMENT
Statement of responsibility, etc. / by Thomas W O'Gorman
Title Adaptive Tests of Significance Using Permutations of Residuals with R and SAS
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Jersey :
Name of publisher, distributor, etc. Wiley ,
Date of publication, distribution, etc. 2012 .
300 ## - PHYSICAL DESCRIPTION
Extent xvii,345p.
500 ## - GENERAL NOTE
General note Included Appendix 283-332p.; References 333-340p.; Index 341-345p.
520 ## - SUMMARY, ETC.
Summary, etc. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields of study.<br/>Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including:Smoothing methods and normalizing transformations Permutation tests with linear methods<br/>Applications of adaptive tests Multicenter and cross-over trials Analysis of repeated measures data<br/>Adaptive confidence intervals and estimates Throughout the book, numerous figures illustrate the key differences among traditional tests, nonparametric tests, and adaptive tests. R and SAS software packages are used to perform the discussed techniques, and the accompanying datasets are available on the book's related website. In addition, exercises at the end of most chapters enable readers to analyze the presented datasets by putting new concepts into practice.Adaptive Tests of Significance Using Permutations of Residuals with R and SAS is an insightful reference for professionals and researchers working with statistical methods across a variety of fields including the biosciences, pharmacology, and business. The book also serves as a valuable supplement for courses on regression analysis and adaptive analysis at the upper-undergraduate and graduate levels.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer adaptive testing.
9 (RLIN) 852176
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R.
9 (RLIN) 852177
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Regression analysis.
9 (RLIN) 852178
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SAS.
9 (RLIN) 852179
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 852180
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part B284 Q2 TB
Koha item type Textbook
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2012-06-28   B284 Q2 TB SL1558522 2022-09-12 2022-09-12 Textbook