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Testování složených hypotéz v regresních modelech s malým počtem pozorování
Testing of composite hypotheses in regression models with small sample size
diploma thesis (DEFENDED)
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Permanent link
http://hdl.handle.net/20.500.11956/8161Identifiers
Study Information System: 42187
CU Caralogue: 990008636420106986
Collections
- Kvalifikační práce [11435]
Faculty / Institute
Faculty of Mathematics and Physics
Discipline
Probability, mathematical statistics and econometrics
Department
Department of Probability and Mathematical Statistics
Date of defense
5. 2. 2007
Publisher
Univerzita Karlova, Matematicko-fyzikální fakultaLanguage
Czech
Grade
Very good
The thesis, through a simulation study, examines the behaviour of asymptotic tests for testing hypotheses that several coefficients in logistic models are zero. Likelihood ratio, Wald's, and Rao's tests are considered. The necessary theory is formulated to derive the form of the statistics of asymptotic tests for testing composite hypotheses in logistic regression. Based on the numerical treatment of simulated data, the levels of significance of these tests are investigated, with critical values of the chi-squared distribution. The powers of the tests are then compared, modified empirically so that all tests reject the null hypotesis at the 5% level. The main focus is on the dependence of these values on the sample size and parameter settings.