mostraligabue
» » Multiple Comparison Procedures (Wiley Series in Probability and Statistics)

ePub Multiple Comparison Procedures (Wiley Series in Probability and Statistics) download

by Ajit C. Tamhane,Yosef Hochberg

ePub Multiple Comparison Procedures (Wiley Series in Probability and Statistics) download
Author:
Ajit C. Tamhane,Yosef Hochberg
ISBN13:
978-0471822226
ISBN:
0471822221
Language:
Publisher:
Wiley; 1 edition (September 1987)
Category:
Subcategory:
Mathematics
ePub file:
1896 kb
Fb2 file:
1915 kb
Other formats:
mbr azw lit doc
Rating:
4.8
Votes:
343

Multiple Comparison Procedures. Yosef Hochberg, Ajit C. Tamhane. 2. Some Theory of Multiple Comparison Procedures for Fixed-Effects Linear Models 17. Single-Step Procedures for Nonhierarchical Families 28.

Multiple Comparison Procedures. ISBN: 978-0-470-56833-0 December 2009 480 Pages. 3. Single-Step Procedures for Hierarchical Families 43. 4. Step-Down Procedures 53.

Multiple Comparison Procedures (Wiley Series in Probability and Statistics). Скачать (pdf, . 4 Mb).

Multiple Comparison Procedures book. Multiple Comparison Procedures (Wiley Series in Probability and Statistics). 0471822221 (ISBN13: 9780471822226).

Yosef Hochberg (Author), Ajit C. Tamhane (Author). Offering a balanced, comprehensive presentation of the topic, Multiple Comparison Procedures refutes the belief held by some statisticians that such procedures have no place in data analysis

Yosef Hochberg (Author), Ajit C. ISBN-13: 978-0470568330. Offering a balanced, comprehensive presentation of the topic, Multiple Comparison Procedures refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, the authors introduce the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences.

The procedure was used to design the Italian Milk Products Monthly Survey on the basis of a set of auxiliary variables obtained from an annual census of the same target population. Given the combinatorial optimization nature of the problem, we use stochastic relaxation theory, and in particular, we use simulated annealing because of its flexibility. Category: Математика, Прикладная математика. 4 Mb. Multiple Comparisons, Selection and Applications in Biometry (Statistics: A Series of Textbooks and Monographs).

Wiley Series in Probability and Statistics. Black & White Illustrations. A Fellow of the American Statistical Society, Dr. Tamhane has more than thirty years of academic and consulting experience in the areas of applied and mathematical statistics. He is the author of Statistical Analysis of Designed Experiments: Theory and Applications, also published by Wiley. Country of Publication.

Wiley series in probability and mathematical statistics. HANNAN, Multiple Time Series. A pplied Probability and Statistics

Wiley series in probability and mathematical statistics. Established by walter a. shewhart and samuel s. wilks. A pplied Probability and Statistics. BAILEY, The Elements of Stochastic Processes with Applications to the Natural Sciences. BA1LEY, Mathematics, Statistics and Systems for Health BARTHOLOMEW, Stochastic Models for Social Processes, Second.

Hochberg and Tamhane limit their discussion to methods for comparing several treatments in the analysis of. .Multiple Comparison Procedures. Series in Probability and Mathematical Statisticsby Yosef Hochberg; Ajit C. TamhaneDocuments

Hochberg and Tamhane limit their discussion to methods for comparing several treatments in the analysis of variance setting; several topics in Millers book, such as mul- tivariate methods and procedures for confidence bands and prediction in- tervals in linear regression, are not considered. TamhaneDocuments. John Wiley and Sons, New York, 1989.

Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. Provides detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Also discusses the benefits and drawbacks of other methods. Numerous examples and tables for implementing procedures are included, making this work both practical and informative.