English | Feb 3, 2009 | ISBN: 047014114X | 506 Pages | PDF | 26 MB

A hands-on introduction to the principles of Bayesian modeling using WinBUGS. Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings.

English | 30 July 2014 | ISBN: 1466515856 | 230 Pages | PDF | 3 MB

A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment.

Springer Science + Business Media, Inc. | 2005 | ISBN: 1402024606, 1402024592 | 312 pages | PDF/djvu | 9/4 MB

The focus of this Edition is on the principles of how to implement a distributed model using geospatial data to simulate hydrologic processes. This monograph sets forth a unified approach and principles for modeling hydrologic processes distributed in space and time using geographic information systems (GIS).

English | 2004-12-20 | ISBN: 1402024592 | 312 pages | PDF | 8.7 mb

This monograph sets forth a unified approach and principles for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). The focus of this Second Edition is on the principles of how to implement a distributed model using geospatial data to simulate hydrologic processes.

English | 2005-08-04 | ISBN: 0495014176 | 361 pages | DJVU | 3.2 mb

MATHEMATICAL MODELING USING DISCRETE DYNAMICAL SYSTEMS! This mathematics text introduces powerful mathematical modeling techniques while providing you with the tools you need to succeed.

English | ISBN: 1447150090 | 2013 | 288 pages | PDF | 3 MB

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid.

English | ISBN: 1447150090 | 2013 | 288 pages | PDF | 3 MB

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid.

English | Jan. 11, 2016 | ISBN: 1612908985 | 210 Pages | AZW3/PDF (conv) | 22.32 MB

Aimed at econometricians who have completed at least one course in time series modeling, Multiple Time Series Modeling Using the SAS VARMAX Procedure will teach you the time series analytical possibilities that SAS offers today.

English | 2013 | 461 Pages | ISBN: 1482216787 | PDF | 8.12 MB

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models…

Stata Pr | 2013 | ISBN: 1597181390 | English | AZW3/EPUB/PDF | 306 pages | 11/6/12 MB

'Discovering Structural Equation Modeling Using Stata', Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. …