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An approximation to the distribution of the X2 goodness-of-fit statistic for use with small expectations

H. Bayo Lawal, Graham Upton

Open publisher page 15 citations

Abstract

This paper is concerned with the X 2 goodness-of-fit test when the observed frequencies are supposed to be distributed according to a specified multinomial distribution. We propose a log normal approximation to the distribution of X 2 . Our results suggest that the approximation is valid providing that the smallest expectation is greater than r/d⊘ , where r is the number of expectations less than 5, and d is the number of degrees of freedom.

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What this paper is about

This paper is concerned with the X 2 goodness-of-fit test when the observed frequencies are supposed to be distributed according to a specified multinomial distribution. We propose a log normal approximation to the distribution of X 2 . Our results suggest that the approximation is valid providing that the smallest expectation is greater than r/d⊘ , where r is the number of expectations less than 5, and d is the number of degrees of freedom.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper is concerned with the X 2 goodness-of-fit test when the observed frequencies are supposed to be distributed according to a specified multinomial distribution. We propose a log normal approximation to the distribution of X 2 . Our results suggest that the approximation is valid providing that the smallest expectation is greater than r/d⊘ , where r is the number of expectations less than 5, and d is the number of degrees of freedom.

Key concepts: Goodness of fit, Mathematics, Multinomial distribution, Statistic, Test statistic, Statistics, Distribution (mathematics), Degrees of freedom (physics and chemistry)

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