Permutation Statistical Methods by Berry Kenneth (136 results)

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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Condition: New. pp. XXIII, 476 8 illus., 1 illus. in color. 1st ed. 2019 edition NO-PA16APR2015-KAP.

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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Kenneth J. Berry, Kenneth L. Kvamme, Janis E. Johnston, Paul W. Mielke Jr.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
- Softcover
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
- Softcover
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
- Softcover
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Permutation Statistical Methods With R [Hardcover] [Sep 28, 2021] Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E. and Mielke Jr., Paul W.
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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- Softcover
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
- Softcover
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size.Because permutation tests and measures are distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics.…

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