Academic Year |
2024Year |
School/Graduate School |
School of Science |
Lecture Code |
HB320000 |
Subject Classification |
Specialized Education |
Subject Name |
確率・統計B |
Subject Name (Katakana) |
カクリツ・トウケイB |
Subject Name in English |
Probability and Mathematical Statistics B |
Instructor |
YANAGIHARA HIROKAZU |
Instructor (Katakana) |
ヤナギハラ ヒロカズ |
Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, Second Semester, 3Term |
Days, Periods, and Classrooms |
(3T) Tues7-8,Thur1-2:SCI E210 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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Lecture |
Credits |
2.0 |
Class Hours/Week |
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Language of Instruction |
J
:
Japanese |
Course Level |
3
:
Undergraduate High-Intermediate
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
01
:
Mathematics/Statistics |
Eligible Students |
B3 |
Keywords |
low of large numbers, central limit theorem, population and sample, estimation |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Mathematics (Knowledge and Understanding) ・Acquiring knowledge and vision on advanced theories as an extension of core theory of modern mathematics. |
Class Objectives /Class Outline |
Study theorems on convergence of ramdom variable, derivation of the distribution of statistics, and estimations |
Class Schedule |
lesson1:Review contents of "Probability and Mathematical Statistics A" lesson2-4: Convergence of random variables convergence in probability and in distribution, low of large numbers, central limit theorem, almost sure convergence, asymptotic theories lesson5-8: Population distribution and statistical models sample, population distribution and statistical models, distributions of statistics, order statistics lesson9-12: Estimation point estimation, least square method, unbiased estimator, likelihood method, interval estimation lesson12-15: Testing hypothesis lesson 15: Exercise |
Text/Reference Books,etc. |
「確率・統計の数学的基礎」(藤越、若木、栁原著) |
PC or AV used in Class,etc. |
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(More Details) |
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Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Read the text book before each lecture and solve the problems in it. |
Requirements |
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Grading Method |
result of tests |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |