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Book FUNDAMENTOS DE LAS T  CNICAS MULTIVARIANTES

Download or read book FUNDAMENTOS DE LAS T CNICAS MULTIVARIANTES written by XIMÉNEZ GÓMEZ M. Carmen;SAN MARTÍN CASTELLANOS Rafael and published by Editorial UNED. This book was released on 2013-10-29 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Esta monografía se ha elaborado como material de apoyo para los estudiantes del curso de doctorado Fundamentos de las técnicas multivariantes, del programa de doctorado interuniversitario de "Metodología de las Ciencias del Comportamiento", impartido conjuntamente por la UAM, la UCM y la UNED. La presente monografía está dirigida a aquellos, que teniendo una formación básica en estadística, desean profundizar en las técnicas que analizan simultáneamente un conjunto de variables. Se pretende que el lector adquiera la base para la comprensión y el manejo de las técnicas multivariantes. Con este fin, se revisan las nociones básicas sobre álgebra de matrices necesarias para su formulación. Asimismo, se expone el concepto de distribución multivariante, marginal y condicional con especial atención a la distribución normal multivariante. Por último, se presentan tres técnicas multivariantes, el análisis de regresión múltiple, el análisis de componentes principales y el análisis factorial. Para cada una de ellas se expone su formulación teórica, supuestos, métodos de estimación y de verificación del modelo, así como diversos ejemplos y ejercicios. Además se introduce la utilización del lenguaje MATRIX del programa SPSS para llevar a cabo operaciones matriciales y los análisis requeridos por las diferentes técnicas tratadas.

Book M  todos de regresi  n y an  lisis multivariante

Download or read book M todos de regresi n y an lisis multivariante written by Víctor Hernández Morales and published by . This book was released on 1992 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book M  todos de regresi  n y an  lisis multivariante

Download or read book M todos de regresi n y an lisis multivariante written by Víctor Hernández Morales and published by . This book was released on 1978 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book An  lisis multivariado

Download or read book An lisis multivariado written by Andrés Catena Martínez and published by . This book was released on 2003 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book M  todos de regresi  n y an  lisis multivariante

Download or read book M todos de regresi n y an lisis multivariante written by Víctor Hernández Morales and published by . This book was released on 1978 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book M  todos de regresi  n y an  lisis multivariantes

Download or read book M todos de regresi n y an lisis multivariantes written by Universidad Nacional de Educación a Distancia (España) and published by . This book was released on 1978 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Congreso de Educaci  n  Investigaci  n educativa

Download or read book Congreso de Educaci n Investigaci n educativa written by and published by . This book was released on 1988 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Practical Guide to Logistic Regression

Download or read book Practical Guide to Logistic Regression written by Joseph M. Hilbe and published by CRC Press. This book was released on 2016-04-05 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers’ own analyses. All the code is available on the author’s website.

Book Fuzzy Multi Criteria Decision Making

Download or read book Fuzzy Multi Criteria Decision Making written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Book An Introduction to Categorical Data Analysis

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Book Empowerment  Transparency  Technological Readiness and their Influence on Financial Performance  from a Latin American Perspective

Download or read book Empowerment Transparency Technological Readiness and their Influence on Financial Performance from a Latin American Perspective written by Martha Ríos Manríquez and published by Emerald Group Publishing. This book was released on 2021-08-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empowerment, Transparency, Technological Readiness and their Influence on Financial Performance, from a Latin American Perspective showcases in-depth analysis, allowing companies to obtain information for a broader vision to help make decisions about intervention, market performance and strategy development possibilities.

Book Basic Econometrics

    Book Details:
  • Author : Damodar Gujarati
  • Publisher :
  • Release : 1986
  • ISBN :
  • Pages : 462 pages

Download or read book Basic Econometrics written by Damodar Gujarati and published by . This book was released on 1986 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Multicriteria Decision Aid Classification Methods

Download or read book Multicriteria Decision Aid Classification Methods written by Michael Doumpos and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.

Book Introduction to Earnings Management

Download or read book Introduction to Earnings Management written by Malek El Diri and published by Springer. This book was released on 2017-08-20 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides researchers and scholars with a comprehensive and up-to-date analysis of earnings management theory and literature. While it raises new questions for future research, the book can be also helpful to other parties who rely on financial reporting in making decisions like regulators, policy makers, shareholders, investors, and gatekeepers e.g., auditors and analysts. The book summarizes the existing literature and provides insight into new areas of research such as the differences between earnings management, fraud, earnings quality, impression management, and expectation management; the trade-off between earnings management activities; the special measures of earnings management; and the classification of earnings management motives based on a comprehensive theoretical framework.

Book Regression Analysis for Categorical Moderators

Download or read book Regression Analysis for Categorical Moderators written by Herman Aguinis and published by Guilford Press. This book was released on 2004-01-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does the stability of personality vary by gender or ethnicity? Does a particular therapy work better to treat clients with one type of personality disorder than those with another? Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group membership through the use of a statistical technique, moderated multiple regression (MMR). Clearly written, the book requires only basic knowledge of inferential statistics. It helps students, researchers, and practitioners determine whether a particular intervention is likely to yield dissimilar outcomes for members of various groups. Associated computer programs and data sets are available at the author's website (http: //mypage.iu.edu/ haguinis/mmr).

Book Classification and Regression Trees

Download or read book Classification and Regression Trees written by Leo Breiman and published by Routledge. This book was released on 2017-10-19 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

Book Exploratory Data Analysis in Business and Economics

Download or read book Exploratory Data Analysis in Business and Economics written by Thomas Cleff and published by Springer Science & Business Media. This book was released on 2013-11-12 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics.