本課程設計是針對非主修統計或數學的碩士畢業學生所開設的先修課程，主要是對機率論作一紮實及完整的介紹，以為將來修習統計推論課程奠定基礎。This course design is a pre-requisite course for graduate students of non-major statistic or math. It mainly provides a thorough and complete introduction to the probability of analysis to lay the foundation for the course of studying the statistical recommendation.
本課程設計是為未曾修習碩士層級之機率論的同學所開設的先修課程，主要是對機率論作一紮實及平衡的介紹，以為將來修習統計推論課程奠定基礎。
修習本課程只需具備集合論及高等微積分的數學訓練。課程內容包含：機率公設事件及事件之機率、運算法則、隨機變數及它們的分配、動差母函數及動差、隨機向量、一些特殊的分配、極限理論等。
This course is designed as a pre-school course for students who have not studied the probationary theory of the master level. It mainly provides a practical and balanced introduction to the probationary theory, in order to lay the foundation for the study of the statistical recommendation course.
To complete this course, you only need to have a collection of discussions and advanced micro-score mathematical training. The course content includes: chance versus chance events and the chances of events, algorithms, random variables and their allocation, dynamic difference parent functions and dynamic differences, random vectors, some special allocations, extreme limit theories, etc.
1. Hogg, R.V., McKean, J.W. and Craig, A.T.: Introduction to Mathematical Statistic (seventh edition)
2. Chung, K.L.: A Course in Probability Theory
3. Billingsley, P.: Probability and Measure
1. Hogg, R.V., McKean, J.W. and Craig, A.T.: Introduction to Mathematic Statistic (seventh edition)
2. Chung, K.L.: A Course in Probability Theory
3. Billingsley, P.: Probability and Measure
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
30 | |
| 期末考期末考 Final exam |
35 | |
| 平時與作業平時與作業 Regular and operation |
35 |
