Floodplain modeling using HEC-RAS

Floodplain modeling using HEC-RAS

Floodplain modeling using HEC-RAS By Haestad Methods Water Solutions, David Klotx, Adam Strafaci, Annaleis Hogan, Kristen Dietrich
2007 | 696 Pages | ISBN: 1934493023 | PDF | 29 MB

Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method (repost)

Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method (repost)

Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method (Computational Mechanics and Applied Analysis) by Somnath Ghosh
English | 2011 | ISBN: 1420094378 | 729 pages | PDF | 16,1 MB

Predictive Modeling using SPSS

Predictive Modeling using SPSS

Predictive Modeling using SPSS
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 6.5 GB
Duration: 12.5 hours | Genre: eLearning | Language: English

The course picks theoretical and practical datasets for predictive analysis

Introduction to Structural Equation Modeling Using Ibm Spss Statistics and Amos

Introduction to Structural Equation Modeling Using Ibm Spss Statistics and Amos

Niels Blunch, "Introduction to Structural Equation Modeling Using Ibm Spss Statistics and Amos"
English | ISBN: 144624900X, 1446248992 | 2013 | EPUB | 312 pages | 19.1 MB

Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques

Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques

Hamid Reza Pourghasemi, Mauro Rossi, "Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques"
2019 | ISBN-10: 3319733826 | 240 pages | PDF, EPUB | 145 MB

Latent Variable Modeling Using R (Repost)

Latent Variable Modeling Using R (Repost)

A. Alexander Beaujean, "Latent Variable Modeling Using R"
English | 2014 | ISBN: 1848726996 | PDF | pages: 218 | 1.6 mb

NoSQL Data Modeling using an Agile Approach

NoSQL Data Modeling using an Agile Approach

NoSQL Data Modeling using an Agile Approach
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 10 Hours | 3.91 GB
Genre: eLearning | Language: English

Environmental Modeling: Using MATLAB, 2nd Edition (repost)

Environmental Modeling: Using MATLAB, 2nd Edition (repost)

Environmental Modeling: Using MATLAB, 2nd Edition by Ekkehard Holzbecher
English | ISBN: 364222041X, 3662500531 | 2012 | PDF | 410 pages | 11,2 MB

Environmental Modeling: Using MATLAB, 2nd Edition (repost)

Environmental Modeling: Using MATLAB, 2nd Edition (repost)

Environmental Modeling: Using MATLAB, 2nd Edition by Ekkehard Holzbecher
English | ISBN: 364222041X, 3662500531 | 2012 | PDF | 410 pages | 11,2 MB

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering [Repost]

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering [Repost]

Shahab Araghinejad - Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
Published: 2013-11-26 | ISBN: 9400775059 | PDF | 292 pages | 4.06 MB

Bayesian Modeling Using WinBUGS by Ioannis Ntzoufras

Bayesian Modeling Using WinBUGS by Ioannis Ntzoufras

Bayesian Modeling Using WinBUGS by Ioannis Ntzoufras
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.

Multilevel Modeling Using R

Multilevel Modeling Using R

Multilevel Modeling Using R by W. Holmes Finch
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.

"Distributed Hydrologic Modeling Using GIS" by Baxter E. Vieux

"Distributed Hydrologic Modeling Using GIS" by Baxter E. Vieux

"Distributed Hydrologic Modeling Using GIS" by Baxter E. Vieux
Second Edition. Water Science and Technology Library, vol. 48
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).

Distributed Hydrologic Modeling Using GIS (repost)

Distributed Hydrologic Modeling Using GIS (repost)

Distributed Hydrologic Modeling Using GIS by Baxter E. Vieux
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.

Introduction to Mathematical Modeling Using Discrete Dynamical Systems (repost)

Introduction to Mathematical Modeling Using Discrete Dynamical Systems (repost)

Introduction to Mathematical Modeling Using Discrete Dynamical Systems by Frederick R. Marotto
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.

Economic Modeling Using Artificial Intelligence Methods (repost)

Economic Modeling Using Artificial Intelligence Methods (repost)

Economic Modeling Using Artificial Intelligence Methods (Advanced Information and Knowledge Processing) by Tshilidzi Marwala
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.

Economic Modeling Using Artificial Intelligence Methods (repost)

Economic Modeling Using Artificial Intelligence Methods (repost)

Economic Modeling Using Artificial Intelligence Methods (Advanced Information and Knowledge Processing) by Tshilidzi Marwala
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.

Multiple Time Series Modeling Using the SAS VARMAX Procedure

Multiple Time Series Modeling Using the SAS VARMAX Procedure

Multiple Time Series Modeling Using the SAS VARMAX Procedure by Anders Milhoj
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.

Introduction to Computational Modeling Using C and Open-Source Tools - Jose M. Garrido (Repost)

Introduction to Computational Modeling Using C and Open-Source Tools - Jose M. Garrido (Repost)

Introduction to Computational Modeling Using C and Open-Source Tools - Jose M. Garrido
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…

Alan C. Acock, "Discovering Structural Equation Modeling Using Stata"

Alan C. Acock, "Discovering Structural Equation Modeling Using Stata"

Alan C. Acock, "Discovering Structural Equation Modeling Using Stata"
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. …