This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models, and gives the conditions under which parameters of interest can be consistently estimated despite misspecification, and the consequences of misspecification, for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. Although the theory presented in the book is motivated by econometric problems, its applicability is by no means restricted to economics. Subject to defined limitations, the theory applies to any scientific context in which statistical analysis is conducted using approximate models.
这本书提出了修正的Fisher矩阵,给出了QMLE的渐进性质等等,在任何一个时间序列分析模型的参数估计中都离不开本书的知识。
评分这本书提出了修正的Fisher矩阵,给出了QMLE的渐进性质等等,在任何一个时间序列分析模型的参数估计中都离不开本书的知识。
评分这本书提出了修正的Fisher矩阵,给出了QMLE的渐进性质等等,在任何一个时间序列分析模型的参数估计中都离不开本书的知识。
评分这本书提出了修正的Fisher矩阵,给出了QMLE的渐进性质等等,在任何一个时间序列分析模型的参数估计中都离不开本书的知识。
评分这本书提出了修正的Fisher矩阵,给出了QMLE的渐进性质等等,在任何一个时间序列分析模型的参数估计中都离不开本书的知识。
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