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The Explanatory Power of Models

2013-11-11 Political Science
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Release : 2013-11-11
Genre : Political Science
Kind : eBook
Book Rating : 766/5 ( reviews)

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Book Synopsis The Explanatory Power of Models by : Robert Franck

Download or read book The Explanatory Power of Models written by Robert Franck. This book was released on 2013-11-11. Available in PDF, EPUB and Kindle. Book excerpt: This book progressively works out a method of constructing models which can bridge the gap between empirical and theoretical research in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough examination of statistical and mathematical models, conceptual models, diagrams and maps, machines, computer simulations, and artificial neural networks.

The Explanatory Power of Models

2014-01-15
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Release : 2014-01-15
Genre :
Kind : eBook
Book Rating : 074/5 ( reviews)

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Book Synopsis The Explanatory Power of Models by : Robert Franck

Download or read book The Explanatory Power of Models written by Robert Franck. This book was released on 2014-01-15. Available in PDF, EPUB and Kindle. Book excerpt:

Explanatory Model Analysis

2021-02-15 Business & Economics
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Release : 2021-02-15
Genre : Business & Economics
Kind : eBook
Book Rating : 376/5 ( reviews)

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Book Synopsis Explanatory Model Analysis by : Przemyslaw Biecek

Download or read book Explanatory Model Analysis written by Przemyslaw Biecek. This book was released on 2021-02-15. Available in PDF, EPUB and Kindle. Book excerpt: Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Measures of the Explanatory Power of Multivariate Probit Models

2002 Mathematical statistics
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Release : 2002
Genre : Mathematical statistics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Measures of the Explanatory Power of Multivariate Probit Models by : Martin Spiess

Download or read book Measures of the Explanatory Power of Multivariate Probit Models written by Martin Spiess. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt:

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

2021-11-03 Business & Economics
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Release : 2021-11-03
Genre : Business & Economics
Kind : eBook
Book Rating : 190/5 ( reviews)

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Book Synopsis Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R by : Joseph F. Hair Jr.

Download or read book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R written by Joseph F. Hair Jr.. This book was released on 2021-11-03. Available in PDF, EPUB and Kindle. Book excerpt: Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

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