The Sensitivity of Chi-Squared Goodness-of-Fit Tests to the Partitioning of Data

DOI10.1081/ETC-200040782zbMath1062.62074OpenAlexW2150614100MaRDI QIDQ4678788

Gianna Boero, Jeremy Smith, Kenneth F. Wallis

Publication date: 23 May 2005

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/etc-200040782

zbMATH Keywords

partitionstablesMonte Carloexperimental designnumber of classesPearson's goodness-of-fit testcomponent tests

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05)

Related Items (2)

Decompositions of Pearson's chi-squared test ⋮ A Comparative Study of Some Modified Chi-Squared Tests

Cites Work

• Unnamed Item
• Decompositions of Pearson's chi-squared test
• Unbiasedness of the chi-square, likelihood ratio, and other goodness of fit tests for the equal cell case
• Table of Percentage Points of Kolmogorov Statistics
• The Number of Classes in Chi-Squared Goodness-of-Fit Tests
• Chi-Squared Goodness-of-Fit Tests: Cell Selection and Power
• A Method for Simulating Stable Random Variables
• A Probability Distribution and Its Uses in Fitting Data
• Chance and Stability
• Consistent Tests for Stochastic Dominance
• How Many Classes in the Pearson Chi-Square Test?
• On the Choice of the Number and Width of Classes for the Chi-Square Test of Goodness of Fit
• On the Reliability of the Classical Chi-Square Test
• On the Choice of the Number of Class Intervals in the Application of the Chi Square Test

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