Generalized Estimating Equations

Generalized Estimating Equations (Repost)  eBooks & eLearning

Posted by Specialselection at Jan. 31, 2014
Generalized Estimating Equations (Repost)

James W. Hardin, Joseph M. Hilbe, "Generalized Estimating Equations"
English | 2002-07-30 | ISBN: 1584883073 | 224 pages | PDF | 2.8 mb

Generalized Estimating Equations, Second Edition  eBooks & eLearning

Posted by roxul at May 12, 2016
Generalized Estimating Equations, Second Edition

James W. Hardin, "Generalized Estimating Equations, Second Edition"
English | ISBN: 1439881138 | 2013 | 277 pages | PDF | 2 MB

Generalized Sylvester Equations: Unified Parametric Solutions  eBooks & eLearning

Posted by AlenMiler at June 19, 2015
Generalized Sylvester Equations: Unified Parametric Solutions

Generalized Sylvester Equations: Unified Parametric Solutions by Guang-Ren Duan
English | 20 July 2015 | ISBN: 1482243962 | 466 Pages | AZW4/PDF (True) | 17.08 MB

Provides One Unified Formula That Gives Solutions to Several Types of GSEs. Generalized Sylvester equations (GSEs) are applied in many fields, including applied mathematics, systems and control, and signal processing. Generalized Sylvester Equations: Unified Parametric Solutions presents a unified parametric approach for solving various types of GSEs.
Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science, Vol. 29) (Repost)

Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science, Vol. 29) by Christopher G. Small
English | 2003 | ISBN: 0198506880 | 322 Pages | PDF | 4 MB

Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis.

An Introduction to Generalized Linear Models, Second Edition  eBooks & eLearning

Posted by AlenMiler at Oct. 15, 2014
An Introduction to Generalized Linear Models, Second Edition

An Introduction to Generalized Linear Models, Second Edition by Annette J. Dobson
Chapman and Hall/CRC; 2 edition | November 28, 2001 | English | ISBN: 1584881658 | 240 pages | PDF | 2 MB

Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models.

Numerical Methods for Nonlinear Estimating Equations (repost)  eBooks & eLearning

Posted by libr at Jan. 15, 2014
Numerical Methods for Nonlinear Estimating Equations (repost)

Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science Series) by Christopher G. Small
English | December 11, 2003 | ISBN: 0198506880 | Pages: 328 | PDF | 4 MB

Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use of root search algorithms, or one-step estimators, is a standard method of solution.

An Introduction to Categorical Data Analysis (repost)  eBooks & eLearning

Posted by libr at May 26, 2017
An Introduction to Categorical Data Analysis (repost)

An Introduction to Categorical Data Analysis by Alan Agresti
English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

Overdispersion Models in SAS  eBooks & eLearning

Posted by enmoys at May 15, 2016
Overdispersion Models in SAS

Overdispersion Models in SAS By Jorge G. Morel Ph.D., Nagaraj K. Neerchal Ph.D.
2012 | 406 Pages | ISBN: 1607648814 | PDF | 19 MB

Comprehensive Linear Modeling with R  eBooks & eLearning

Posted by naag at Dec. 21, 2015
Comprehensive Linear Modeling with R

Comprehensive Linear Modeling with R
MP4 | Video: 1280x720 | 60 kbps | 44 KHz | Duration: 15 Hours | 3.49 GB
Genre: eLearning | Language: English

Learn to model with R: ANOVA, regression, GLMs, survival analysis, GAMs, mixed-effects, split-plot and nested designs

Correlated Data Analysis: Modeling, Analytics, and Applications  eBooks & eLearning

Posted by MoneyRich at Feb. 10, 2015
Correlated Data Analysis: Modeling, Analytics, and Applications

Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics) by Peter X. K. Song
English | July 27, 2007 | ISBN: 0387713921 | 352 Pages | PDF | 4 MB

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models.