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

DECRY

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.

forebear

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.

愛(ài)國(guó)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).

MEAN

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.

無(wú)效

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.

破譯

掃興

粉筆

instructive

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