Author: Z. Govindarajulu
Publisher: World Scientific Publishing Company
Keywords: inference, nonparametric
Number of Pages: 692
Published: 2007-04-27
List price: $134.00
ISBN-10: 981270034X
ISBN-13: 9789812700346

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with the material.

Author: S. Henley
Publisher: Springer
Keywords: geostatistics, nonparametric
Number of Pages: 164
Published: 1981-10-31
List price: $171.00
ISBN-10: 0853349770
ISBN-13: 9780853349778

Author: E. B. Manoukian
Publisher: CRC Press
Keywords: statistics, nonparametric, mathematical
Number of Pages: 326
Published: 1986-11-10
List price: $473.00
ISBN-10: 2881240933
ISBN-13: 9782881240935

中文参考译名:应用非参数统计
Author: Wayne W. Daniel
Publisher: Duxbury Press
Keywords: statistics, nonparametric, applied
Number of Pages: 635
Published: 2000-06-30
List price: $122.95
ISBN-10: 0534381944
ISBN-13: 9780534381943

This book covers the most commonly used nonparametric statistical techniques by emphasizing applications rather than theory. Exercises and examples are drawn from various disciplines including agriculture, biology, sociology, education, psychology, medicine, business, geology, and anthropology. The applications of techniques are presented in a step-by-step format that is repeated for all illustrative examples. Concepts are reinforced with many references to statistical literature to show the relevance to real-world problems. Chapters contain references of available computer programs and softwa

中文参考译名:非参数计量经济学
Authors:Adrian Pagan, Aman Ullah,
Publisher: Cambridge University Press
Keywords: econometrics, nonparametric
Number of Pages: 444
Published: 1999-07-01
List price: $43.00
ISBN-10: 0521586119
ISBN-13: 9780521586115

This book systematically and thoroughly covers a vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the past five decades. Within this framework, this is the first book to discuss the principles of the nonparametric approach to the topics covered in a first year graduate course in econometrics, e.g., regression function, heteroskedasticity, simultaneous equations models, logit-probit and censored models. Professors Pagan and Ullah provide intuitive explanations of difficult concepts, heuristic developments of theory, and empirical examples

Author: Yakov Nikitin
Publisher: Cambridge University Press
Keywords: tests, nonparametric, efficiency, asymptotic
Number of Pages: 296
Published: 1995-06-30
List price: $130.00
ISBN-10: 0521470293
ISBN-13: 9780521470292

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics where it is usually necessary to rely on heuristic tests. This monograph presents a unified treatment of the analysis and calculation of the asymptotic efficiencies of nonparametric tests. Powerful new methods are developed to evaluate explicitly different kinds of efficiencies. Of particular interest is the desc

Author: James J. Higgins
Publisher: Duxbury Press
Keywords: statistics, nonparametric, modern, introduction
Number of Pages: 500
Published: 2003-05-05
List price: $165.95
ISBN-10: 0534387756
ISBN-13: 9780534387754

Guided by problems that frequently arise in actual practice, James Higgins’ book presents a wide array of nonparametric methods of data analysis that researchers will find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses the connection between methods. For instance, rank tests are introduced as special cases of permutation tests applied to ranks. The author provides coverage of topics not often found in nonparametric textbooks, including procedures for multivariate data, multiple regression, multi-factor analysis of variance, survival data, and curve s