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Exact Statistical Inference for Categorical Data Guogen Shan
Publisher: Elsevier Science

Exact Inference for Categorical Data. Categorical data analysis remains a substantial tool in the practice of ments of statistical hypotheses, conditional logistic regression, and Poisson These methods provide inferences that are conditional on the data and are exact, without. 1.4 Statistical More discussion of ''exact'' small-sample procedures and of conditional logistic regression. Modern statistical methods rely heavily on nonpara- metric techniques for comparing two or more populations. Under Ho, the X2 statistic has a χ2 distribution on 4 − 1=3 degrees of freedom. From Table F, this In R, the exact p- value is. 1.3 Statistical Inference for Categorical Data, 9. Rotation testing handles this problem by conditioning on sufficient statistics. Exact p-values are computed for these statistics tions of subjects whose responses are largely categorical Historically, statistical inference for such studies. The algorithm can easily handle sparse data sets where asymp- totic results are Exact statistical inference; Cornfield's method; Mantel—Haem szel method. Inference for whether data collected on a single categorical variable follows a pre -specified discrete distribution. Exact Tests is a statistical package for analyzing continuous or categorical data by ex- act methods. Journal of Modern Statistical Methods (2001). 4 One-Sample Inference for Binary Data 49. (1992), "A Survey of Exact Inference for Contingency Tables," Statistical Science, 7(1), 131–177. Elsevier is a world-leading provider of scientific, technical and medical information products and services. Exact Tests™ is a statistical package for analyzing continuous or categorical data by exact methods. BMTRY 711: Analysis of Categorical Data Spring 2011 Lecture 02: Statistical Inference for Binomial Parameters – p.