An Introduction to Nonparametric Statistics Contributor(s): Kolassa, John E. (Author) |
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ISBN: 0367194848 ISBN-13: 9780367194840 Publisher: CRC Press OUR PRICE: $109.25 Product Type: Hardcover - Other Formats Published: September 2020 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - General - Reference - Mathematics | Algebra - Linear |
Dewey: 519.5 |
LCCN: 2020023408 |
Physical Information: 0.7" H x 6.1" W x 9.3" (1.10 lbs) 224 pages |
Descriptions, Reviews, Etc. |
Publisher Description: An Introduction to Nonparametric Statistics 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 paid 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. Features
This text is intended for a graduate student in applied statistics. The course is best taken after an introductory course in statistical methodology, elementary probability, and regression. Mathematical prerequisites include calculus through multivariate differentiation and integration, and, ideally, a course in matrix algebra. |