Maximum Likelihood Estimation

Maximum Likelihood Estimation with Stata, Fourth Edition (repost)  eBooks & eLearning

Posted by libr at Jan. 23, 2016
Maximum Likelihood Estimation with Stata, Fourth Edition (repost)

Maximum Likelihood Estimation with Stata, Fourth Edition by William Gould, Jeffrey Pitblado and Brian Poi
English | 2010 | ISBN: 1597180785 | ISBN-13: 9781597180788 | 352 pages | PDF | 1,9 MB

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB  eBooks & eLearning

Posted by fdts at March 1, 2015
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
by Russell B. Millar
English | 2011 | ISBN: 0470094826 | 357 pages | PDF | 3.25 MB

Maximum Likelihood Estimation with Stata, Fourth Edition by Jeffrey Pitblado [Repost]  eBooks & eLearning

Posted by tanas.olesya at Oct. 18, 2015
Maximum Likelihood Estimation with Stata, Fourth Edition by Jeffrey Pitblado [Repost]

Maximum Likelihood Estimation with Stata, Fourth Edition by Jeffrey Pitblado
English | 29 Nov. 2010 | ISBN: 1597180785 | 376 Pages | PDF | 1 MB

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines.

Maximum Likelihood Estimation for Sample Surveys [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Dec. 15, 2014
Maximum Likelihood Estimation for Sample Surveys [Repost]

Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh - Maximum Likelihood Estimation for Sample Surveys
Published: 2012-05-02 | ISBN: 1584886323 | PDF | 391 pages | 3 MB

Maximum Likelihood Estimation with Stata, Fourth Edition  eBooks & eLearning

Posted by interes at April 10, 2014
Maximum Likelihood Estimation with Stata, Fourth Edition

Maximum Likelihood Estimation with Stata, Fourth Edition by William Gould, Jeffrey Pitblado and Brian Poi
English | 2010 | ISBN: 1597180785 | ISBN-13: 9781597180788 | 352 pages | PDF | 1,9 MB

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata.

Maximum Likelihood Estimation for Sample Surveys  eBooks & eLearning

Posted by interes at Oct. 1, 2013
Maximum Likelihood Estimation for Sample Surveys

Maximum Likelihood Estimation for Sample Surveys by Raymond L. Chambers, David G. Steel, Suojin Wang and Alan Welsh
English | 2012 | ISBN: 1584886323 | 391 pages | PDF | 3,1 MB

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates.

Maximum Likelihood Estimation: Logic and Practice  eBooks & eLearning

Posted by parvathareddyrs at March 21, 2009
Maximum Likelihood Estimation: Logic and Practice

Scott R. Eliason,"Maximum Likelihood Estimation: Logic and Practice"
Sage Publications | 1993-08-09 | ISBN: 0803941072 | 96 pages | PDF | 1.5 mb

Eliason reveals to the reader the underlying logic and practice of maximum likelihood (ML) estimation by providing a general modeling framework that utilizes the tools of ML methods. This framework offers readers a flexible modeling strategy since it accommodates cases from the simplest linear models (such as the normal error regression model) 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 maximum likelihood solutions, the general form of the covariance matrix for ML estimates, the sampling distribution of ML estimators; the use of ML in the normal as well as other distributions, and some useful illustrations of likelihoods.

Statistical Estimation for Truncated Exponential Families  eBooks & eLearning

Posted by roxul at Nov. 14, 2017
Statistical Estimation for Truncated Exponential Families

Masafumi Akahira, "Statistical Estimation for Truncated Exponential Families"
English | 4 Sept. 2017 | ISBN: 9811052956 | 136 Pages | EPUB | 4 MB
Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Statistik und ihre Anwendungen)

Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Statistik und ihre Anwendungen) by Carsten F. Dormann
German | 6 Sept. 2017 | ISBN: 3662546833 | 388 Pages | PDF | 5.27 MB

In dem einführenden Werk für Anwender werden alle klassischen Statistik-Methoden aus der beschreibenden Statistik, aus Verteilungen und Maximum-Likelihood-Methode abgeleitet. Beispiele machen komplexe Zusammenhänge verständlich und erleichtern die Umsetzung.

Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (repost)  eBooks & eLearning

Posted by hill0 at Sept. 13, 2017
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Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (Statistik und Ihre Anwendungen) (German Edition) by Carsten Dormann
German | 8 Feb. 2013 | ISBN: 3642347851 | 372 Pages | PDF | 4.38 MB

Beispielreich baut das Buch Schritt für Schritt die statistischen Grundlagen moderner Datenanalysen für Anwender auf. Dabei wird besonderer Wert auf einen roten Faden gelegt, der alle Methoden zusammenführt.