Logit Modeling
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Logit Modeling
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Author : Alfred DeMaris
language : en
Publisher: SAGE
Release Date : 1992-06-06
Logit Modeling written by Alfred DeMaris and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-06-06 with Business & Economics categories.
Logit models : theoretical background. Logit models for multidimensional tables. Logistic regression. Advanced topics in logistic regression. Appendix : Computer routines.
Logit Models From Economics And Other Fields
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Author : J. S. Cramer
language : en
Publisher: Cambridge University Press
Release Date : 2003-08-21
Logit Models From Economics And Other Fields written by J. S. Cramer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-21 with Business & Economics categories.
Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying logit analysis and gives a thorough explanation of the technique of estimation. The author has provided many empirical applications as illustrations and worked examples. A large data set - drawn from Dutch car ownership statistics - is provided online for readers to practise the techniques they have learned. Several varieties of logit model have been developed independently in various branches of biology, medicine and other disciplines. This book takes its inspiration from logit analysis as it is practised in economics, but it also pays due attention to developments in these other fields.
Linear Probability Logit And Probit Models
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Author : John H. Aldrich
language : en
Publisher: SAGE
Release Date : 1984-11
Linear Probability Logit And Probit Models written by John H. Aldrich and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-11 with Mathematics categories.
After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models.
Logit And Probit
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Author : Vani K. Borooah
language : en
Publisher: SAGE
Release Date : 2002
Logit And Probit written by Vani K. Borooah and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.
Many problems in the social sciences are amenable to analysis using the analytical tools of logit and probit models. This book explains what ordered and multinomial models are and also shows how to apply them to analysing issues in the social sciences.
Interpreting Probability Models
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Author : Tim Futing Liao
language : en
Publisher: SAGE
Release Date : 1994-06-30
Interpreting Probability Models written by Tim Futing Liao and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-06-30 with Mathematics categories.
What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.
Logit Models From Economics And Other Fields
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Author : J. S. Cramer
language : en
Publisher: Cambridge University Press
Release Date : 2003-08-21
Logit Models From Economics And Other Fields written by J. S. Cramer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-21 with Business & Economics categories.
Originating in economics but now used in a variety of disciplines, including medicine, epidemiology and the social sciences, this book provides accessible coverage of the theoretical foundations of the Logit model as well as its applications to concrete problems. It is written not only for economists but for researchers working in disciplines where it is necessary to model qualitative random variables. J.S. Cramer has also provided data sets on which to practice Logit analysis.
Log Linear Models And Logistic Regression
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Author : Ronald Christensen
language : en
Publisher: Springer
Release Date : 1997-10-01
Log Linear Models And Logistic Regression written by Ronald Christensen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-10-01 with Mathematics categories.
The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds upon the relationships between these basic models for continuous data and the analogous log-linear and logistic regression models for discrete data. It also carefully examines the differences in model interpretations and evaluations that occur due to the discrete nature of the data. Sample commands are given for analyses in SAS, BMFP, and GLIM, while numerous data sets from fields as diverse as engineering, education, sociology, and medicine are used to illustrate procedures and provide exercises. Throughoutthe book, the treatment is designed for students with prior knowledge of analysis of variance and regression.
Logistic Regression Models
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Author : Joseph M. Hilbe
language : en
Publisher: CRC Press
Release Date : 2009-05-11
Logistic Regression Models written by Joseph M. Hilbe and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-11 with Mathematics categories.
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models t
Logistic Regression Models For Ordinal Response Variables
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Author : Ann A. O'Connell
language : en
Publisher: SAGE
Release Date : 2006
Logistic Regression Models For Ordinal Response Variables written by Ann A. O'Connell and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.
Ordinal measures provide a simple and convenient way to distinguish among possible outcomes. The book provides practical guidance on using ordinal outcome models.
Discrete Choice Methods With Simulation
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Author : Kenneth Train
language : en
Publisher: Cambridge University Press
Release Date : 2009-07-06
Discrete Choice Methods With Simulation written by Kenneth Train and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-06 with Business & Economics categories.
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
