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Thesis details
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k-výběrový problém s uspořádanou alternativou
Thesis title in Czech: k-výběrový problém s uspořádanou alternativou
Thesis title in English: k-sample problem with ordered alternative
Key words: Analýza rozptylu; k-výběrový problém; uspořádaná alternativa
English key words: Analysis of variance; k-sample problem; ordered alternative
Academic year of topic announcement: 2017/2018
Thesis type: Bachelor's thesis
Thesis language: čeština
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: doc. RNDr. Zdeněk Hlávka, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 11.10.2017
Date of assignment: 13.10.2017
Confirmed by Study dept. on: 15.12.2017
Date and time of defence: 12.09.2018 08:00
Date of electronic submission:17.07.2018
Date of submission of printed version:20.07.2018
Date of proceeded defence: 12.09.2018
Opponents: doc. RNDr. Michal Pešta, Ph.D.
 
 
 
Guidelines
Uchazeč prozkoumá k-výběrový problém s uspořádanou alternativou a podrobně popíše postupy, které byly navržené v odborné literatuře.
References
Barlow, R. E., Bartholomew, D. J., Bremner, J. M. and Brunk, H. D. 1972. Statistical Inference Under Order Restrictions, New York: John Wiley.
Hayter, A. J. (1990). A One-sided Studentized Range Test for lesting against a Simple Ordered Alternative. Journal of the American Statistical Association, 85(411), 778-785.
Jonckheere, A. R. (1954). A distribution-free k-sample test against ordered alternatives. Biometrika, 41(1/2), 133-145.
Marcus, R. (1982). Some Results on Simultaneous Confidence Intervals for Monotone Contrasts in One-way ANOVA Model. Communication in Statistics, Part A–Theory and Methods, 11, 615–622.
Robertson, T., Wright, F. T. and Dykstra, R. L. 1988. Order Restricted Statistical Inference, New York: John Wiley.
Schoenfeld, D. A. (1986). Confidence Bounds for Normal Means Under Order Restrictions, With Application to Dose-Response Curves, Toxicology Experiments, and Low-Dose Extrapolation. Journal of the American Statistical Association, 81, 186–195.
 
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