14.381经济统计方法(麻省理工学院)14.381 Statistical Method in Economics (MIT) |
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课程网址: | http://ocw.mit.edu/courses/economics/14-381-statistical-method-in... |
主讲教师: | Prof. Victor Chernozhukov |
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: | 该课程引入统计理论,为学生准备剩余的计量经济学序列。该课程的重点是理解统计理论的基本原理。将给出概率的简要回顾;然而,这种材料被认为是知识。该课程还包括基本的回归分析。涵盖的主题包括概率,随机样本,渐近方法,点估计,估计量评估,Cramer-Rao定理,假设检验,Neyman Pearson引理,似然比检验,区间估计,最佳线性预测,最佳线性逼近,条件期望函数,构建函数形式,回归代数,高斯 - 马尔可夫最优性,有限样本推理,一致性,渐近正态性,异方差性和自相关性。 |
课程简介: | The course introduces statistical theory to prepare students for the remainder of the econometrics sequence. The emphasis of the course is to understand the basic principles of statistical theory. A brief review of probability will be given; however, this material is assumed knowledge. The course also covers basic regression analysis. Topics covered include probability, random samples, asymptotic methods, point estimation, evaluation of estimators, Cramer-Rao theorem, hypothesis tests, Neyman Pearson lemma, Likelihood Ratio test, interval estimation, best linear predictor, best linear approximation, conditional expectation function, building functional forms, regression algebra, Gauss-Markov optimality, finite-sample inference, consistency, asymptotic normality, heteroscedasticity, and autocorrelation. |
关 键 词: | 统计理论; 概率; 克莱默饶定理 |
课程来源: | 信息不详。欢迎您在右侧留言补充。 |
最后编审: | 2015-10-07:linxl |
阅读次数: | 132 |