Nonparametric Methods for Data Analysis

Varghese, Eldho and Varghese, Cini (2023) Nonparametric Methods for Data Analysis. In: Training Manual on Statistical Designs and Analytical Methods for Multifactor Experiments. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 51-65.

Text Nonparametric Methods for Data Analysis_2023_Eldho Varghese.pdf Download (1MB)

Abstract

A parametric test specifies certain conditions about the distribution of responses in the population from which the research sample was drawn. The meaningfulness of the results of a parametric test depends on the validity of these assumptions. A nonparametric test is based on a model that specifies very general conditions and none regarding the specific form of the distribution from which the sample was drawn. Hence nonparametric tests are also known as distribution free tests. Certain assumptions are associated with most nonparametric statistical tests, but these are fewer and weaker than those of parametric tests.

Item Type:	Book Section
Uncontrolled Keywords:	Data analysis; Parametric test
Subjects:	Marine Fisheries > Fisheries Statistics
Divisions:	CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division
Depositing User:	Arun Surendran
Date Deposited:	14 Sep 2023 04:28
Last Modified:	14 Sep 2023 04:28
URI:	http://eprints.cmfri.org.in/id/eprint/17448

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