Posted by **AlenMiler** at Oct. 29, 2016

English | 23 Oct. 2016 | ISBN: 1539691896 | 267 Pages | PDF | 2.79 MB

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

Posted by **AlenMiler** at Oct. 29, 2016

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.

Posted by **nebulae** at March 11, 2015

English | ISBN: 0691042772 | 2014 | 424 pages | PDF | 13 MB

Posted by **interes** at March 4, 2015

English | ISBN: 1441983414, 1441983422 | edition 2011 | PDF | 512 pages | 4 mb

Posted by **ChrisRedfield** at July 16, 2014

Published: 2008-08-04 | ISBN: 0470025662 | PDF | 272 pages | 8 MB

Posted by **interes** at Jan. 28, 2014

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.

Posted by **Saunt** at July 16, 2009

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.

Posted by **kalyan1232008** at March 26, 2009

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.

Posted by **tanas.olesya** at Nov. 24, 2016

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.

Posted by **step778** at Nov. 2, 2016

1993 | pages: 194 | ISBN: 0412300400 | PDF | 4,1 mb