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Titlebook: Applied Nonparametric Statistical Methods; Peter Sprent Book 1989 P. Sprent 1989 correlation.estimator.linear regression.median.random var

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樓主: trace-mineral
21#
發(fā)表于 2025-3-25 04:41:40 | 只看該作者
https://doi.org/10.1007/978-3-662-41394-4When we have two independent samples and wish to compare their location (medians or means) we can no longer reduce this to a one-sample problem.
22#
發(fā)表于 2025-3-25 08:52:05 | 只看該作者
https://doi.org/10.1007/978-3-662-41394-4Data often consist of counts of numbers of objects with given attributes or belonging to given categories arranged into one-, two-, three- or even higher-dimensional tables, usually referred to as one-, two-, three-way contingency tables. Each dimension or ‘way’ corresponds to a classification into categories representing one attribute.
23#
發(fā)表于 2025-3-25 14:51:43 | 只看該作者
Introducing nonparametric methods,In most of this book we assume only a rudimentary knowledge of statistics like that provided by a service or introductory course of 10 to 20 lectures, or by reading a simple text like . (Rowntree, 1981).
24#
發(fā)表于 2025-3-25 19:23:36 | 只看該作者
Distribution tests and rank transformations for single samples,Chapter 2 covered test and estimation procedures for location — the median if we do not assume symmetry; either mean or median if we do. We now consider more general problems of matching data to particular distributions. Populations, whether or not they have identical locations, may differ widely in other characteristics.
25#
發(fā)表于 2025-3-25 23:31:00 | 只看該作者
Tests and estimation for two independent samples,When we have two independent samples and wish to compare their location (medians or means) we can no longer reduce this to a one-sample problem.
26#
發(fā)表于 2025-3-26 03:13:51 | 只看該作者
27#
發(fā)表于 2025-3-26 07:22:00 | 只看該作者
28#
發(fā)表于 2025-3-26 12:06:30 | 只看該作者
29#
發(fā)表于 2025-3-26 12:52:16 | 只看該作者
30#
發(fā)表于 2025-3-26 17:48:07 | 只看該作者
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