{"title":"Non-parametric tests: testing when distributions are unknown.","authors":"A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts","doi":"10.1079/9781845932756.0287","DOIUrl":null,"url":null,"abstract":"Abstract\n This chapter introduces several other commonly used non-parametric tests: the sign test, the Wilcoxon signed rank test, the Wilcoxon rank sum test, the Kruskal-Wallis test, the runs test, and Spearman's rank correlation test. Non-parametric tests do not require knowledge or estimates of the parameter values. They can be performed without uniquely identifying the distribution, or its parameters. The use of these non-parametric tests in forestry applications are given in this chapter.","PeriodicalId":413890,"journal":{"name":"Introductory probability and statistics: applications for forestry and natural sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Introductory probability and statistics: applications for forestry and natural sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781845932756.0287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Abstract
This chapter introduces several other commonly used non-parametric tests: the sign test, the Wilcoxon signed rank test, the Wilcoxon rank sum test, the Kruskal-Wallis test, the runs test, and Spearman's rank correlation test. Non-parametric tests do not require knowledge or estimates of the parameter values. They can be performed without uniquely identifying the distribution, or its parameters. The use of these non-parametric tests in forestry applications are given in this chapter.
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