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	Logistic and Poisson regression Kalina, Jan The work describes methods of logistic and Poisson regression for the analysis of contingency tables. It explains general principles of hypothesis testing about the significance of their parameters. Particular methods can be derived also within a general theory of generalized linear models. For this general context also principles of variable selection are investigated. It is shown how properties of particular methods correspond to properties, which can be derived in the framework of generalized linear models. Detailed record
	Analysis of contingency tables Kalina, Jan The paper compares asymptotic, exact conditional and exact unconditional tests for the evaluation of contingency tables. Relationship of asymptotic methods with generalized linear models is studied. The work focuses on exact methods, which yield promising results in the analysis of data with small samples. Some of the methods are alternatively derived in the context of logistic and Poisson regression. Detailed record
	Intervalové odhady parametru binomického rozdělení Klaschka, Jan Detailed record
	Statistické inferenční funkce Fabián, Zdeněk Detailed record

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