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	Two-sample tests Janoušková, Kateřina ; Hlávka, Zdeněk (advisor) ; Chochola, Ondřej (referee) Two-sample T tests are described in this thesis. They are an im- portant method for testing hypotheses when samples have normal distribution. The main emphasis is laid on testing expected values when unknown variances are unequal. The test statistics used for testing hypotheses are presented and their null distribution is derived. In the beginning Student's distribution is de- scribed. The next chapters show how the Welch's and Satterthwaite's statistics are derived and it is described how to use them when testing hypotheses. Special paired test with missing samples is presented in the last chapter. 1 Detailed record
	Two-sample tests Janoušková, Kateřina ; Hlávka, Zdeněk (advisor) ; Chochola, Ondřej (referee) Two-sample T tests are described in this thesis. They are an im- portant method for testing hypotheses when samples have normal distribution. The main emphasis is laid on testing expected values when unknown variances are unequal. The test statistics used for testing hypotheses are presented and their null distribution is derived. In the beginning Student's distribution is de- scribed. The next chapters show how the Welch's and Satterthwaite's statistics are derived and it is described how to use them when testing hypotheses. Special paired test with missing samples is presented in the last chapter. 1 Detailed record
	Checking proportional rates in the two-sample transformation model Kraus, David Checking proportional rates in the two-sample transformation model Detailed record
	Smooth tests of equality of cumulative incidence functions in two samples Kraus, David Smooth tests of equality of cumulative incidence functions in two samples Detailed record
	Adaptive Neyman's smooth tests of homogeneity of two samples of survival data Kraus, David Adaptive Neyman's smooth tests of homogeneity of two samples of survival data Detailed record

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