J
James M. Davenport
Researcher at Texas Tech University
Publications - 8
Citations - 1051
James M. Davenport is an academic researcher from Texas Tech University. The author has contributed to research in topics: Percentage point & Pearson's chi-squared test. The author has an hindex of 5, co-authored 8 publications receiving 929 citations.
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Approximations of the critical region of the fbietkan statistic
TL;DR: In this paper, the authors compare two new approximations with the usual x2 and F large sample approximings for the one-way Kruskal-Wallis test statistic.
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The effects of violations of independence assumptions in the one-way ANOVA
TL;DR: In this paper, the authors focus on the relationship between true Type I and II error probabilities and the effects of departures from independence assumptions on hypothesis testing in the oneway analysis of variance.
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Rank correlation plots for use with correlated input variables
TL;DR: In this article, rank correlation plots are presented for normal, lognormal, uniform, and loguniform marginal distributions with the objective of assisting the modeler in determining the degree of dependence among input variables.
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Testing regression function adequacy with correlation and without replication
TL;DR: In this paper, the authors generalized the pure error-lack-of-fit test to the case of nonreplication and error structure for certain known positive definite correlation matrices V. The critical points of the F distribution were used to provide a test of the exact desired size.
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A four-moment approach and other practical solutions to the behrens-f1sher problem
TL;DR: In this paper, fixed sample size approximately similar tests for the Behrens-Fisher problem are studied and compared with various other tests suggested in current sttistical methodelogy texts.