An Introduction to Nonparametric Statistics
Kolassa, John E.
- 出版商: CRC
- 出版日期: 2020-09-29
- 售價: $3,980
- 貴賓價: 9.5 折 $3,781
- 語言: 英文
- 頁數: 212
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367194848
- ISBN-13: 9780367194840
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相關分類:
機率統計學 Probability-and-statistics
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商品描述
This textbook presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data. Rank-based and resampling techniques are heavily represented, but robust techniques are considered as well. These techniques include one-sample testing and estimation, multi-sample testing and estimation, and regression.
Attention is payed to the intellectual development of the field, with a thorough review of bibliographical references. Computational tools, in R and SAS, are developed and illustrated via examples. Exercises designed to reinforce examples are included.
Important techniques covered include
- Rank-based techniques, including sign, Kruskal-Wallis, Friedman, Mann-Whitney and Wilcoxon tests, are presented.
- Tests are inverted to produce estimates and confidence intervals.
- Multivariate tests are explored.
- Techniques reflecting the dependence of a response variable on explanatory variables are presented.
- Density estimation is explored.
- The bootstrap and jackknife are discussed.
This text is intended for a graduate student in applied statistics. The course is best taken after an introductory course in statistical methodology, a course in elementary probability, and a course in regression. Mathematical prerequisites include calculus through multivariate differentiation and integration, and, ideally, a course in matrix algebra.
作者簡介
John Kolassa is Professor of Statistics and Biostatistics, Rutgers, the State University of New Jersey.