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An Introduction to Nonparametric Statistics (Hardcover)
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An Introduction to Nonparametric Statistics (Hardcover)
Series: Chapman & Hall/CRC Texts in Statistical Science
Expected to ship within 12 - 17 working days
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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
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, elementary probability, and regression. Mathematical
prerequisites include calculus through multivariate differentiation
and integration, and, ideally, a course in matrix algebra.
General
Imprint: |
Crc Press
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Country of origin: |
United Kingdom |
Series: |
Chapman & Hall/CRC Texts in Statistical Science |
Release date: |
September 2020 |
First published: |
2021 |
Authors: |
John E. Kolassa
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Dimensions: |
234 x 156 x 20mm (L x W x T) |
Format: |
Hardcover
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Pages: |
212 |
ISBN-13: |
978-0-367-19484-0 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
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LSN: |
0-367-19484-8 |
Barcode: |
9780367194840 |
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