Posted by **Specialselection** at Jan. 31, 2014

English | 2002-07-30 | ISBN: 1584883073 | 224 pages | PDF | 2.8 mb

Posted by **roxul** at May 12, 2016

English | ISBN: 1439881138 | 2013 | 277 pages | PDF | 2 MB

Posted by **AlenMiler** at June 19, 2015

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.

Posted by **manamba13** at Feb. 21, 2015

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.

Posted by **AlenMiler** at Oct. 15, 2014

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.

Posted by **libr** at Jan. 15, 2014

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.

Posted by **libr** at May 26, 2017

English | 2007 | ISBN: 0471226181 | 400 pages | PDF | 2,3 MB

Posted by **enmoys** at May 15, 2016

2012 | 406 Pages | ISBN: 1607648814 | PDF | 19 MB

Posted by **naag** at Dec. 21, 2015

MP4 | Video: 1280x720 | 60 kbps | 44 KHz | Duration: 15 Hours | 3.49 GB

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

Posted by **MoneyRich** at Feb. 10, 2015

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.