Maximum Likelihood Estimation 2024 pdf epub mobi 电子书

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发表于2024-04-29

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出版者:SAGE Publications, Inc

作者:Scott R. Eliason

出品人:

页数:96

译者:

出版时间:1993-8-9

价格:USD 22.00

装帧:Paperback

isbn号码:9780803941076

丛书系列:

图书标签: 方法论 statistics

Maximum Likelihood Estimation 2024 pdf epub mobi 电子书图书描述

In this volume the underlying logic and practice of maximum likelihood (ML) estimation is made clear by providing a general modelling framework that utilizes the tools of ML methods. This framework offers readers a flexible modelling strategy since it accommodates cases from the simplest linear models to the most complex nonlinear models that link a system of endogenous and exogenous variables with non-normal distributions. Using examples to illustrate the techniques of finding ML estimators and estimates, Eliason discusses: what properties are desirable in an estimator; basic techniques for finding ML solutions; the general form of the covariance matrix for ML estimates; the sampling distribution of ML estimators; the application of ML in the normal distribution as well as in other useful distributions; and some helpful illustrations of likelihoods.

Maximum Likelihood Estimation 2024 pdf epub mobi 电子书

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