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Poslední úprava: RNDr. Michal Červinka, Ph.D. (07.11.2019)
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Poslední úprava: RNDr. Michal Červinka, Ph.D. (14.11.2023)
The following information is valid for academic year 2023/24 (updated slides shall appear soon) Lectures (2x per week): Mondays 9:30 am in lecture hall "Michal Mejstrik" O109 Tuesdays 9:30 am in lecture hall "Michal Mejstrik" O109 There will be altogether 24 lectures. Lectures will not be streamed online. Exercise classes (1x per week):
Midterm: November 28th Exam Dates: will be announced Instruction for signing up for the exercise classes: Information for international students visiting IES Strong warning! Please consider registration to this subject only after consulting with the lecturer. In previous years many international students did not have good enough prior knowledge of mathematics to follow and pass this course. Registration without intention of passing the subject is not allowed. Students will not be given any certificate of participation only! After the deadline for HW1, cancellation of the registration to the course is not allowed. |
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Poslední úprava: RNDr. Michal Červinka, Ph.D. (19.09.2023)
Grading 2023/24: There is altogether 100 points available. Offering bonus points is illegal at any subject at FSV UK. midterm test: 15 points homeworks (5 x): altogether 20 points For each homework assignment only two pre-selected problems will be subject to grading. Full solutions to all problems shall be uploaded in SIS. Students can gain partial point award based on proportion of the correct answers within the pre-selected problems graded. Minimum requirement from the written exam is 25.5 points (stricly more than 50% of the written exam). Gaining less will result in grade F regardless of the total sum including HWs and oral exam. Minimum requirement from the oral exam is 8 points (stricly more than 50% of the written exam). Gaining less will result in grade F regardless of the total sum including HWs and written exam.
Credit load 7 ECTS equivalent to 210 hours of student work:
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Poslední úprava: RNDr. Michal Červinka, Ph.D. (22.09.2022)
Povinná četba: BARTOSZYŃSKI, R. and NIEWIADOMSKA-BUGAJ, M. Probability and Statistical Inference. 3rd edition, Wiley, 2021. RAMACHANDRAN, K.M., TSOKOS, Ch.P. Mathematical Statistics with Applications in R, 3rd edition, Elsevier, 2020. Doporučená četba: ANDERSON D.R., SWEENEY, D.J., WILLIAMS, T.A., CAMM J.D., COCHRAN J.J., Statistics for Business and Economics. 14th edition, Cengage Learning, 2019. SUHOV, Y., KELBERT, M. Probability and Statistics by Example, volume 1, 2nd edition, Cambridge University Press, 2014. MITTELHAMMER, R.C. Mathematical Statistics for Economics and Business. 2nd edition, Springer, New York, 2013. |
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Poslední úprava: RNDr. Michal Červinka, Ph.D. (19.09.2023)
Grading 2023/24: There is altogether 100 points available. Offering bonus points is illegal at any subject at FSV UK. midterm test: 15 points homeworks (5 x): altogether 20 points For each homework assignment only two pre-selected problems will be subject to grading. Full solutions to all problems shall be uploaded in SIS. Students can gain partial point award based on proportion of the correct answers within the pre-selected problems graded. Minimum requirement from the written exam is 25.5 points (stricly more than 50% of the written exam). Gaining less will result in grade F regardless of the total sum including HWs and oral exam. Minimum requirement from the oral exam is 8 points (stricly more than 50% of the written exam). Gaining less will result in grade F regardless of the total sum including HWs and written exam.
Credit load 7 ECTS equivalent to 210 hours of student work:
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Poslední úprava: RNDr. Michal Červinka, Ph.D. (13.09.2020)
The teaching in this course runs in English only.
1. Úvod 2. Diskrétní náhodné veličiny a střední hodnota 3. Spojité náhodné veličiny a střední hodnota 4. Mnohorozměná rozdělení a transformace náhodných veličin 5. Podmíněná rozdělení a podmíněné střední hodnoty 6. Vybrané třídy rozdělení náhodných veličin 7. Náhodný výběr 8. Statistická inference 9. Odhadování parametrů 10. Parametrické testování statistických hypotéz
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