Analysis of Incomplete Multivariate Data Pdf

Analysis of Incomplete Multivariate Data by J.L. Schafer  [Repost]

Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by J.L. Schafer
English | Aug 1, 1997 | ISBN: 0412040611 | 514 Pages | PDF | 6 MB

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems.

Analysis of Incomplete Multivariate Data (repost)  

Posted by arundhati at June 7, 2013
Analysis of Incomplete Multivariate Data (repost)

J.L. Schafer, "Analysis of Incomplete Multivariate Data"
1997 | ISBN-10: 0412040611 | 444 pages | PDF | 6,8 MB

Analysis of Incomplete Multivariate Data  

Posted by kalyan1232008 at March 27, 2009
Analysis of Incomplete Multivariate Data

J.L. Schafer " Analysis of Incomplete Multivariate Data "
Chapman & Hall/CRC | English | ISBN- 0412040611 | August 1, 1997 | 430 pages | PDF | 5.7MB

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms.All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.

Analysis of Incomplete Multivariate Data (Repost)  eBooks & eLearning

Posted by DZ123 at Dec. 14, 2015
Analysis of Incomplete Multivariate Data (Repost)

J.L. Schafer, "Analysis of Incomplete Multivariate Data"
English | 1997 | ISBN: 0412040611 | PDF | pages: 418 | 6 mb

Analysis of Incomplete Multivariate Data (Repost)  

Posted by DZ123 at Sept. 14, 2014
Analysis of Incomplete Multivariate Data (Repost)

J.L. Schafer, "Analysis of Incomplete Multivariate Data"
English | 1997 | ISBN: 0412040611 | PDF | pages: 418 | 6 mb

Analysis of Single-Cell Data  eBooks & eLearning

Posted by Underaglassmoon at April 27, 2016
Analysis of Single-Cell Data

Analysis of Single-Cell Data: ODE Constrained Mixture Modeling and Approximate Bayesian Computation
Springer Spektrum | Mathematics | March 18 2016 | ISBN-10: 3658132337 | 92 pages | pdf | 4.46 mb

Authors: Loos, Carolin
Publication in the field of natural sciences
The Statistical Analysis of Functional MRI Data (Statistics for Biology and Health) by Nicole Lazar

The Statistical Analysis of Functional MRI Data (Statistics for Biology and Health) by Nicole Lazar
English | July 2, 2008 | ISBN: 0387781900 | 301 Pages | PDF | 4 MB

The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology.
Goodness-of-Fit Statistics for Discrete Multivariate Data by Noel Cressie

Goodness-of-Fit Statistics for Discrete Multivariate Data (Springer Series in Statistics) by Noel Cressie
English | Aug 1, 1988 | ISBN: 038796682X, 354096682X | 224 Pages | DJVU | 2 MB

The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades.

Bayesian Analysis of Failure Time Data Using P-Splines  

Posted by Underaglassmoon at Feb. 14, 2015
Bayesian Analysis of Failure Time Data Using P-Splines

Bayesian Analysis of Failure Time Data Using P-Splines
Springer | Anatomy, Bioinformatics, Molecular Biology | Dec 27 2014 | ISBN-10: 3658083921 | 110 pages | pdf | 2.95 mb

Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions.
Guide to Analysis of DNA Microarray Data, 2nd Edition

Guide to Analysis of DNA Microarray Data, 2nd Edition
by Steen Knudsen
English | 2004 | ISBN: 0471656046 | 192 pages | PDF | 8.86 MB