Nonparametric Statistical Methods for Complete and Censored Data
Published on 2. June 2004
Book
Hardback
384 pages
978-0-203-50772-8 (ISBN)
Description
Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics.
In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included.
Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists.
Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.
In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included.
Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists.
Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional statisticians; Biostatisticians; Psychologists; Sociologists; Students
Illustrations
124 s/w Tabellen, 3 s/w Abbildungen
3 b/w images, 124 tables and 1311 equations
Dimensions
Height: 235 mm
Width: 152 mm
ISBN-13
978-0-203-50772-8 (9780203507728)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
M.M. Desu | D. Raghavarao
Nonparametric Statistical Methods For Complete and Censored Data
Book
09/2003
1st Edition
Chapman & Hall/CRC
€207.30
Shipment within 15-20 days
Content
Procedures for a Single Sample
Introduction
Binary Response
Complete Data on Continuous Responses
Procedures for Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Procedures for Two Independent Samples
Introduction
Two Sample Problem with Binary Responses
Studies with Categorical Responses
Methods for Continuous Responses
Linear Rank Statistics for the Two Sample Problem
Analysis of Censored Data
Asymtotic Relative of Efficiency (Pitman's Efficiency)
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Procedures for Paired Samples
Introduction
Analysis of Paired Binary Responses
Complete Data for Continuous Responses
Asymtotic Relative Efficiency
Analysis of Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Procedures for Several Independent Samples
Introduction
Discrete Responses
Continuous Responses with Complete Data
Multiple Comparison Procedures
Jonckheere's Test for Completely Ordered Alternatives
Comparison of Several Treatments with a Control
Censored Data
Appendix A: Mathematical Supplement
Problems
References
Analysis of Block Design
Introduction
RCB Designs with Binary Responses
RCB Designs with Continuous Censored Data
Rank Tests for RCB Designs
General Block Designs with Continuous Uncensored Data
A Multiple Comparison Procedure Using Friedman's Ranks
Page Test for Ordered Alternatives in RCB Designs
RCB Designs with Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Independence, Correlation, and Regression
Introduction
Analysis of a Bivariate Sample
Testing for Correlation between Continuous Variables
Linear Regression
Logistic Regression
Procedures for Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Computer Intensive Methods
Introduction
Permutation Tests and Randomization Tests
Bootstrap Methods
References
Solutions to Selected Problems
Author Index
Subject Index
Introduction
Binary Response
Complete Data on Continuous Responses
Procedures for Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Procedures for Two Independent Samples
Introduction
Two Sample Problem with Binary Responses
Studies with Categorical Responses
Methods for Continuous Responses
Linear Rank Statistics for the Two Sample Problem
Analysis of Censored Data
Asymtotic Relative of Efficiency (Pitman's Efficiency)
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Procedures for Paired Samples
Introduction
Analysis of Paired Binary Responses
Complete Data for Continuous Responses
Asymtotic Relative Efficiency
Analysis of Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Procedures for Several Independent Samples
Introduction
Discrete Responses
Continuous Responses with Complete Data
Multiple Comparison Procedures
Jonckheere's Test for Completely Ordered Alternatives
Comparison of Several Treatments with a Control
Censored Data
Appendix A: Mathematical Supplement
Problems
References
Analysis of Block Design
Introduction
RCB Designs with Binary Responses
RCB Designs with Continuous Censored Data
Rank Tests for RCB Designs
General Block Designs with Continuous Uncensored Data
A Multiple Comparison Procedure Using Friedman's Ranks
Page Test for Ordered Alternatives in RCB Designs
RCB Designs with Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Independence, Correlation, and Regression
Introduction
Analysis of a Bivariate Sample
Testing for Correlation between Continuous Variables
Linear Regression
Logistic Regression
Procedures for Censored Data
Appendix A: Mathematical Supplement
Appendix B: Computer Programs
Problems
References
Computer Intensive Methods
Introduction
Permutation Tests and Randomization Tests
Bootstrap Methods
References
Solutions to Selected Problems
Author Index
Subject Index