Author: Emil SpjøtvollPublisher:
ISBN:
Category :
Languages : en
Pages : 60
Book Description
A Contribution to the Problem of Comparing Non-nested Regression Models
Author: Emil SpjøtvollComparison of local power of alternative tests of non-nested regression models
Author: M. H. PesaranTests of Non-nested Regression Models
Author: L. G. GodfreyPublisher:
ISBN: 9780868310787
Category : Regression analysis
Languages : en
Pages : 37
Book Description
A Bayesian Procedure to Compare and Choose Among Logistic Regression Models
Author: Francisco Garcia-HernándezPublisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 184
Book Description
Tests of Non-nested Linear Regression Models Subject to Linear Restrictions
Author: M. Hashem PesaranPublisher:
ISBN: 9780868311418
Category : Econometrics
Languages : en
Pages : 10
Book Description
On the Consistency of Joint and Paired Tests for Non-nested Regression Models
Author: Naorayex K. DastoorPublisher: Kingston, Ont. : Institute for Economic Research, Queen's University
ISBN: 9780868311340
Category : Econometrics
Languages : en
Pages : 27
Book Description
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables
Author: Michael SmithsonPublisher: CRC Press
ISBN: 1466551755
Category : Mathematics
Languages : en
Pages : 300
Book Description
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.The book provides br
The R Book
Author: Elinor JonesPublisher: John Wiley & Sons
ISBN: 1119634326
Category : Computers
Languages : en
Pages : 884
Book Description
A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics. This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find: A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R; Comprehensive explorations of worked examples in R; A complementary companion website with downloadable datasets that are used in the book; In-depth examination of essential R packages. Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.
The SAGE Handbook of Regression Analysis and Causal Inference
Author: Henning BestPublisher: SAGE
ISBN: 1473908353
Category : Social Science
Languages : en
Pages : 425
Book Description
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Author: Wang, JohnPublisher: IGI Global
ISBN: 159904952X
Category : Technology & Engineering
Languages : en
Pages : 4092
Book Description
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.