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Statistical Implicative Analysis

2008-04-29 Mathematics
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Release : 2008-04-29
Genre : Mathematics
Kind : eBook
Book Rating : 820/5 ( reviews)

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Book Synopsis Statistical Implicative Analysis by : Régis Gras

Download or read book Statistical Implicative Analysis written by Régis Gras. This book was released on 2008-04-29. Available in PDF, EPUB and Kindle. Book excerpt: Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.

The Theory of Statistical Implicative Analysis

MATHEMATICS
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Genre : MATHEMATICS
Kind : eBook
Book Rating : 040/5 ( reviews)

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Book Synopsis The Theory of Statistical Implicative Analysis by : Régis Gras

Download or read book The Theory of Statistical Implicative Analysis written by Régis Gras. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Rgis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests. Using a multidimensional, non-symmetrical data analysis method, SIA crosses a set of subjects or objects with a set of variables. It effectively complements traditional correlational and psychometric methods. SIA, through its various extensions, is today presented as a broad Artificial Intelligence method aimed at extracting trends and possible causalities in the form of rules, from a set of variables. It is based on the unlikeliness of the existence of these relationships, i.e. on the relative weakness of their counter-examples compared to what chance alone would produce. It establishes a dual topological relationship between the set of subjects and the set of variables. Many applications of this approach, driving forces or crucibles for the development of SIA, have concerned and still concern various fields such as didactics, evaluation and assessment, psychology, sociology, medicine, biology, economics, art history, and others. Key Features: Presents the foundations and representations of SIA Provides extensions of variable sets and subjects Includes a bonus exercise

The Theory of Statistical Implicative Analysis

2024 Mathematical statistics
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Release : 2024
Genre : Mathematical statistics
Kind : eBook
Book Rating : 777/5 ( reviews)

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Book Synopsis The Theory of Statistical Implicative Analysis by : Régis Gras

Download or read book The Theory of Statistical Implicative Analysis written by Régis Gras. This book was released on 2024. Available in PDF, EPUB and Kindle. Book excerpt: "This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Régis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests. Using a multidimensional, non-symmetrical data analysis method, SIA crosses a set of subjects or objects with a set of variables. It effectively complements traditional correlational and psychometric methods. SIA, through its various extensions, is today presented as a broad Artificial Intelligence method aimed at extracting trends and possible causalities in the form of rules, from a set of variables. It is based on the unlikeliness of the existence of these relationships, i.e. on the relative weakness of their counter-examples compared to what chance alone would produce. It establishes a dual topological relationship between the set of subjects and the set of variables. Many applications of this approach, driving forces or crucibles for the development of SIA, have concerned and still concern various fields such as didactics, evaluation and assessment, psychology, sociology, medicine, biology, economics, art history, and others"--

The Theory of Statistical Implicative Analysis

2020-11-27 Mathematics
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Release : 2020-11-27
Genre : Mathematics
Kind : eBook
Book Rating : 02X/5 ( reviews)

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Book Synopsis The Theory of Statistical Implicative Analysis by : Régis Gras

Download or read book The Theory of Statistical Implicative Analysis written by Régis Gras. This book was released on 2020-11-27. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Régis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests. Using a multidimensional, non-symmetrical data analysis method, SIA crosses a set of subjects or objects with a set of variables. It effectively complements traditional correlational and psychometric methods. SIA, through its various extensions, is today presented as a broad Artificial Intelligence method aimed at extracting trends and possible causalities in the form of rules, from a set of variables. It is based on the unlikeliness of the existence of these relationships, i.e. on the relative weakness of their counter-examples compared to what chance alone would produce. It establishes a dual topological relationship between the set of subjects and the set of variables. Many applications of this approach, driving forces or crucibles for the development of SIA, have concerned and still concern various fields such as didactics, evaluation and assessment, psychology, sociology, medicine, biology, economics, art history, and others. Key Features: Presents the foundations and representations of SIA. Provides extensions of variable sets and subjects. Includes a bonus exercise.

Innovative Statistical Methods for Public Health Data

2015-08-31 Medical
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Release : 2015-08-31
Genre : Medical
Kind : eBook
Book Rating : 365/5 ( reviews)

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Book Synopsis Innovative Statistical Methods for Public Health Data by : Ding-Geng (Din) Chen

Download or read book Innovative Statistical Methods for Public Health Data written by Ding-Geng (Din) Chen. This book was released on 2015-08-31. Available in PDF, EPUB and Kindle. Book excerpt: The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.

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