res.9 0002统计和可视化数据分析和推理(麻省理工学院)RES.9-0002 Statistics and Visualization for Data Analysis and Inference (MIT) |
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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: | 用于行为科学研究的统计数据,包括:数据可视化,通过排列建立自己的零假设分布,有用的参数分布,广义线性模型和基于模型的分析。熟悉MATLAB®,Octave或R将是有用的,以前的统计经验将有所帮助,但不是必需的。本课程旨在成为“无效假设显着性检验”的连贯,另类视角的概略草图。行为研究的方法(但如果你不知道这意味着什么,不要担心)。 |
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; 置换建设; 假设分布; 参数分布; 广义线性模型; 基于模型的分析结果 |
课程来源: | 麻省理工学院公开课 |
最后编审: | 2015-10-10:linxl |
阅读次数: | 31 |