Dynamic Linear Models

SYSTEM IDENTIFICATION with MATLAB. Linear Models  eBooks & eLearning

Posted by AlenMiler at Oct. 29, 2016
SYSTEM IDENTIFICATION with MATLAB. Linear Models

SYSTEM IDENTIFICATION with MATLAB. Linear Models by Marvin L.
English | 23 Oct. 2016 | ISBN: 1539691896 | 267 Pages | PDF | 2.79 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects.

SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series  eBooks & eLearning

Posted by AlenMiler at Oct. 29, 2016
SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series

SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series by Marvin L.
English | 23 Oct. 2016 | ISBN: 1539692310 | 207 Pages | PDF | 1.84 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way.

Recursive Models of Dynamic Linear Economies  eBooks & eLearning

Posted by nebulae at March 11, 2015
Recursive Models of Dynamic Linear Economies

Lars Peter Hansen and Thomas J. Sargent, "Recursive Models of Dynamic Linear Economies"
English | ISBN: 0691042772 | 2014 | 424 pages | PDF | 13 MB

Dynamic Mixed Models for Familial Longitudinal Data (repost)  eBooks & eLearning

Posted by interes at March 4, 2015
Dynamic Mixed Models for Familial Longitudinal Data (repost)

Dynamic Mixed Models for Familial Longitudinal Data by Brajendra C. Sutradhar
English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

Linear Models: The Theory and Application of Analysis of Variance  eBooks & eLearning

Posted by ChrisRedfield at July 16, 2014
Linear Models: The Theory and Application of Analysis of Variance

Brenton R. Clarke - Linear Models: The Theory and Application of Analysis of Variance
Published: 2008-08-04 | ISBN: 0470025662 | PDF | 272 pages | 8 MB

Dynamic Mixed Models for Familial Longitudinal Data (repost)  eBooks & eLearning

Posted by interes at Jan. 28, 2014
Dynamic Mixed Models for Familial Longitudinal Data (repost)

Dynamic Mixed Models for Familial Longitudinal Data by Brajendra C. Sutradhar
English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models.

Recursive Models of Dynamic Linear Economies  eBooks & eLearning

Posted by Saunt at July 16, 2009
Recursive Models of Dynamic Linear Economies

Recursive Models of Dynamic Linear Economies
Publisher: Lars Hansen | ISBN: N\A | edition 2005 | PDF | 530 pages | 3,5 mb

This book views many apparently disparate dynamic economic models as examples of a single class of models that can be adapted and specialized to study diverse economic phenomena. The class of models was created by using recent advances in (i) the theory of recursive dynamic competitive economies; (ii) methods for estimating and interpreting vector autoregression; (iii) linear optimal control theory; and (iv) computer languages for rapidly manipulating linear optimal control systems.

Generalized Linear Models: A Bayesian Perspective (Biostatistics)  eBooks & eLearning

Posted by kalyan1232008 at March 26, 2009
Generalized Linear Models: A Bayesian Perspective (Biostatistics)

Dipak K. Dey " Generalized Linear Models: A Bayesian Perspective (Biostatistics) "
CRC; 1 edition | May 25, 2000 | English | ISBN-10: 0824790340 | 423 pages | 6.0 MB

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.

Operationalizing Dynamic Pricing Models  eBooks & eLearning

Posted by tanas.olesya at Nov. 24, 2016
Operationalizing Dynamic Pricing Models

Operationalizing Dynamic Pricing Models: Bayesian Demand Forecasting and Customer Choice Modeling for Low Cost Carriers by Steffen Christ
English | 13 Jan. 2011 | ISBN: 383492749X | 362 Pages | PDF | 4 MB

Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity.
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Repost)

P.J. Green, Bernard. W. Silverman, "Nonparametric Regression and Generalized Linear Models: A roughness penalty approach"
1993 | pages: 194 | ISBN: 0412300400 | PDF | 4,1 mb