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Permutation Statistical Methods for Criminology and Criminal Justice by Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky, Michael J. Lynch ISBN 9783031596674, 9783031596667, 3031596676, 3031596668, 2948-2763, 2948-2771 instant download

  • SKU: EBN-237750708
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Instant download (eBook) Permutation Statistical Methods for Criminology and Criminal Justice after payment.
Authors:Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky, Michael J. Lynch
Pages:830 pages
Year:2025
Edition:1
Publisher:Springer
Language:english
File Size:16.79 MB
Format:pdf
ISBNS:9783031596674, 9783031596667, 3031596676, 3031596668, 2948-2763, 2948-2771
Categories: Ebooks

Product desciption

Permutation Statistical Methods for Criminology and Criminal Justice by Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky, Michael J. Lynch ISBN 9783031596674, 9783031596667, 3031596676, 3031596668, 2948-2763, 2948-2771 instant download

This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, researchers, and other professionals interested in the areas of criminology or criminal justice. The book integrates permutation statistical methods with a wide range of classical statistical methods. It opens with a comparison of two models of statistical inference: the classical population model espoused by J. Neyman and E. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman.
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Numerous comparisons of permutation and classical statistical methods are illustrated with examples from criminology and criminal justice and supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency, variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency.
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