A stepwise algorithm for selecting category boundaries for the chi-squared goodness-of-fit test

DOI10.1080/03610928708829490zbMath0626.62046OpenAlexW1984029669MaRDI QIDQ3030024

Lalit K. Aggarwal, Steve M. Bajgier

Publication date: 1987

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928708829490

zbMATH Keywords

optimal partitionchi-squared goodness-of-fit testnoncentral chi-squarestepwise algorithmcompletely specified continuous null and alternative distributionsselecting categories

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Cites Work

• An empirical investigation of the properties of a new goodness-of-fit test
• The Number of Classes in Chi-Squared Goodness-of-Fit Tests
• Power studies of tests for uniformity, II
• Are Two Classes Enough for the X²Goodness of Fit Test?
• Components of X 2 for Testing Distributional Assumptions Against Certain Restricted Alternatives
• On the Choice of the Class Intervals for the Chi-square Test of Goodness of Fit
• A Power Approximation for the Chi-Square Goodness-of-Fit Test: Simple Hypothesis Case
• Power studies of some tests for uniformity
• The Number and Width of Classes in the Chi-Square Test
• On the Choice of the Number and Width of Classes for the Chi-Square Test of Goodness of Fit
• The $\chi^2$ Test of Goodness of Fit
• On the Choice of the Number of Class Intervals in the Application of the Chi Square Test

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