Project information
Jaroslav Hájek Center for Theoretical and Applied Statistics
- Project Identification
- LC06024
- Project Period
- 3/2006 - 12/2011
- Investor / Pogramme / Project type
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Ministry of Education, Youth and Sports of the CR
- Basic Research Center
- MU Faculty or unit
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Faculty of Science
- prof. RNDr. Ivanka Horová, CSc.
- doc. RNDr. Petr Lánský, DrSc.
- prof. RNDr. Gejza Wimmer, DrSc.
- Mgr. Jiří Zelinka, Dr.
- Keywords
- Statistical tests and estimates, regression, calibration, approximation and smoothing methods, extreme values, time series
- Cooperating Organization
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Technical University Liberec
- Responsible person prof. RNDr. Jan Picek, CSc.
- Responsible person prof. RNDr. Jana Jurečková, DrSc.
Center will contribute to development of theoretical and applied statistics. Namely, we expect new results and innovations in the following areas: (1) in the environmental and meteorological sciences: (modeling the regional rate of the rainfall bothin time and space; the interrelations between extreme climatic conditions and mortality or hospitalization; time series of the size of the ozone layer, etc.), (2) in the insurance and finance (applications of statistical tests on the Pareto index of theprobability distribution of insurance payments, time development and abrupt changes of exchange rates, etc.), (3) in the technology (fatigue and reliability of materials with respect to possible extreme conditions, etc.) (4) in the metrology (designa nd evaluation of complex measurements, calibration, etc.), (5) in the biology, medicine, in the modeling and analysis of DNA microarrays (with the use of results on nonparametric smoothing techniques and parametric models for estimating the risk functions, ROC curves, etc.), (6) in the information transmission (applications of stochastic methods in construction of artifial censors for detection of harmful chemicals, drugs, etc.).
Results
Center will contribute to development of theoretical and applied statistics. Namely, we expect new results and innovations in the following areas: (1) in the environmental and meteorological sciences: (modeling the regional rate of the rainfall bothin time and space; the interrelations between extreme climatic conditions and mortality or hospitalization; time series of the size of the ozone layer, etc.), (2) in the insurance and finance (applications of statistical tests on the Pareto index of theprobability distribution of insurance payments, time development and abrupt changes of exchange rates, etc.), (3) in the technology (fatigue and reliability of materials with respect to possible extreme conditions, etc.) (4) in the metrology (designa nd evaluation of complex measurements, calibration, etc.), (5) in the biology, medicine, in the modeling and analysis of DNA microarrays (with the use of results on nonparametric smoothing techniques and parametric models for estimating the risk functions, ROC curves, etc.), (6) in the information transmission (applications of stochastic methods in construction of artifial censors for detection of harmful chemicals, drugs, etc.).
Publications
Total number of publications: 117
2006
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Kernel Estimates of Hazard Functions for Biomedical Data Sets
Statistical Methods for Biostatistics and Related Fields, edition: Vyd. 1., year: 2006, number of pages: 24 s.
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Niektoré matematicko-štatistické modely kalibrácie
ROBUST 2006, Zborník prací 14. zimní školy, 23-27 ledna 2006, Lhota nad Rohanovem, year: 2006
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Rituximab Senzitizes B-CLL Cells with Inactived p53 to fludarabine
Year: 2006, type: Conference abstract
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Scheffé-type Confidence Region for the Calibration Line
Austrian Journal of Statistics, year: 2006, volume: 35
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Věčný problém radioterapeuta - vyhodnotit výsledky své léčby. Karcinom prsu: statistické zhodnocení stupně I a II po totální a po parciální mastektomii očima radioterapeuta
Edukační sborník. XXX. Brněnské onkologické dny s XX. Konferencí pro sestry a laboranty., year: 2006
2005
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Plug-in method for nonparametric regression
Year: 2005, type: Appeared in Conference without Proceedings
2004
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Use of Fourier transformation for kernel smoothing
Year: 2004, type: Appeared in Conference without Proceedings