图 书 馆
统计、可视化数据分析和推论Statistics and Visualization for Data Analysis and Inference |
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| 课程网址: | http://ocw.mit.edu/resources/res-9-0002-statistics-and-visualizat... |
| 主讲教师: | Ed Vul ; Mike Frank |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familiarity with MATLAB®, Octave, or R will be useful, prior experience with statistics will be helpful but is not essential. This course is intended to be a ground-up sketch of a coherent, alternative perspective to the "null-hypothesis significance testing" method for behavioral research (but don't worry if you don't know what this means). |
| 关 键 词: | 数据可视化; 参数分布; 广义线性模型; 模型分析; 统计数据 |
| 课程来源: | 麻省理工学院公开课 |
| 最后编审: | 2018-11-17：wxi |
| 阅读次数: | 33 |