Nonparametric Statistical Methods For Complete and Censored Data
Auteurs : Desu M.M., Raghavarao D.
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.
Date de parution : 09-2019
15.6x23.4 cm
Date de parution : 09-2003
Ouvrage de 352 p.
15.6x23.4 cm
Thèmes de Nonparametric Statistical Methods For Complete and... :
Mots-clés :
Istribu Tion; Ta Tis Tic; Sim Ilar; Test Sta Tistic; Estim Ator; Sta Tistic; Tis Tic; D A Ta; Da Ta; Wilcoxon Signed Rank Test; Estim Ate; Logrank Scores; WMW Test; Block Ranks; Walsh Averages; NPAR1WAY Procedure; RCB Design; Lehm Ann; Random Ization Tests; Proc Print; Tests Ta; Logrank Test; Proc Print Data; Param Eter