2008Journal of Science of Teachers' College and UniversityRequires access

The hypothesis testing about how to tell χ~2 distribution and F distribution

Ruiyuan Liu

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Abstract

The image of χ2 distribution's density function and F distribution's density function are the skewness distribution of non-negative member.However,the image of the two density function are similar,so the images of their distribution function and empirical distribution function are similar too.For a group of data collected from χ2 distribution or F distribution,it is difficult to judge where they are from if use the usual way of making image about empirical distribution function.Proposed a scientific method of the hypothesis testing to distinguish F distribution and χ2 distribution.

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What this paper is about

The image of χ2 distribution's density function and F distribution's density function are the skewness distribution of non-negative member.However,the image of the two density function are similar,so the images of their distribution function and empirical distribution function are similar too.For a group of data collected from χ2 distribution or F distribution,it is difficult to judge where they are from if use the usual way of making image about empirical distribution function.Proposed a scientific method of the hypothesis testing to distinguish F distribution and χ2 distribution.

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Available abstract

The image of χ2 distribution's density function and F distribution's density function are the skewness distribution of non-negative member.However,the image of the two density function are similar,so the images of their distribution function and empirical distribution function are similar too.For a group of data collected from χ2 distribution or F distribution,it is difficult to judge where they are from if use the usual way of making image about empirical distribution function.Proposed a scientific method of the hypothesis testing to distinguish F distribution and χ2 distribution.

Key concepts: Empirical distribution function, Distribution fitting, Ratio distribution, Log-Cauchy distribution, Half-normal distribution, Noncentral chi-squared distribution, Distribution (mathematics), Compound probability distribution

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