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 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 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 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.
"Power System State Estimation: Theory and Implementation" by Ali Abur, Antonio Gómez Expósito

"Power System State Estimation: Theory and Implementation" by Ali Abur, Antonio Gómez Expósito
Power Engineering series, volume 24
Маrсеl Dеkkеr | 2004 | ISBN: 0824755707 9780824755706 | 337 pages | PDF | 4 MB

This reference illustrates the significant role of state estimation in overall energy management—presenting an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency.
Statistical Estimation for Truncated Exponential Families (SpringerBriefs in Statistics)

Statistical Estimation for Truncated Exponential Families (SpringerBriefs in Statistics) by Masafumi Akahira
English | 4 Sept. 2017 | ISBN: 9811052956 | 136 Pages | PDF | 2.34 MB

This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and implications of both regularity and irregularity through a certain family of distributions.
Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (Statistik und Ihre Anwendungen) (Repost)

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.