| Course title | |||||
| 地域環境科学特論 [Advanced Rural Environmental Science] | |||||
| Course category | Requirement | Credit | 0.5 | ||
| Department | Year | ～ | Semester | Spring | |
| Course type | Spring | Course code | 96412 | ||
| Instructor(s) | |||||
| 木下 嗣基（茨） [KINOSHITA Tsuguki] | |||||
| Facility affiliation | United Graduate School Agricultural Science | Office | Email address | ||
| Course description |
|
“Statistical modeling” Model simulation is effective for understanding of various phenomena in the world. However, basic knowledge based on statistics are indispensable when constructing models. In this lecture, you will study statistical modeling theory and practice mainly on generalized linear models. |
| Expected Learning |
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1. Understanding of general linear modeling. 2. Understanding of Bayes’estimation. |
| Course schedule |
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1: What is statistical modeling. 2：Maximum likelihood estimation 3：Generalized linear model 4：Bayes' estimation |
| Prerequisites |
| Required Text(s) and Materials |
| will be handed out at the beginning of the lecture |
| References |
| will be introduced during the lecture. |
| Assessment/Grading |
| Message from instructor(s) |
| The concept of statistical models is useful in many fields, but it may be hard for someone who is not good at mathematics. |
| Course keywords |
| Office hours |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Language Subject |
| Last update |
| 3/28/2018 1:46:56 PM |