Holiday
GEN III綜三 203 T3T4R4
This course will delve into the fundamental elements of statistical inference, focusing primarily on estimation, prediction, and, decision theory, and hypothesis testing. Prior to enrolling in this course, students should possess a foundational understanding of probability theory and random variable distributions, as well as a grasp of subjects like Calculus and Linear Algebra.
Course keywords: Course keywords: point estimation, interval estimation, testing hypotheses, decision theory, nonparametric test. 一、課程說明(Course Description) In this course, the elementary components of statistical inference will be covered, mainly in estimation, decision theory, and testing hypotheses. Some commonly used nonparametric tests will also be taught. Students who want to take this course must have basic knowledge on fundamental probability and random variable distribution. 二、指定用書 TBA 三、參考書籍(References) References: 1. Rice, John A. (2007), Mathematical Statistics and Data Analysis, 3rd Edition. Duxbury Press. 2. Rice, John A. (1995), Mathematical Statistics and Data Analysis, 2nd Edition. Duxbury Press. 3. Roussas, G.. G. (1997), A Course in Mathematical Statistics, 2nd Edition. Academic Press. 四、教學方式(Teaching Method) Lecture 五、教學進度(Syllabus) 1. Point estimation 2. Interval estimation 3. Tests of statistical hypotheses 4. Decision Theory 5. Some nonparametric tests 六、 成績考核(Evaluation) Homework 30%; Midterm Exam 30%; Final Exam 40% 七、 下列何項 AI 使用規則 (Indicate which of the following options you use to manage student use of the AI) 有條件開放,請註明如何使用生成式AI於課程產出 Conditionally open; please specify how generative AI will be used in course output
MON | TUE | WED | THU | FRI | |
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Average GPA 2.77
Std. Deviation 1.45
16週課程
限數學系,理學院學士班