Author: Tim R. L. FryPublisher:
ISBN: 9780732603915
Category : Logits
Languages : en
Pages : 18
Book Description
Testing for Independence of Irrelevant Alternatives
Author: Tim R. L. FryPublisher:
ISBN: 9780732603915
Category : Logits
Languages : en
Pages : 18
Book Description
An Application of Diagnostic Tests for the Independence from Irrelevant Alternatives Property of the Multinomial Logit Model
Author: Daniel McFaddenPublisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 76
Book Description
A Monte Carlo Study of Tests for the Independence of Irrelevant Alternatives Property
Author: Tim R. L. FryPublisher:
ISBN: 9780732603762
Category : Monte Carlo method
Languages : en
Pages : 21
Book Description
Combining Choice Set Partition Tests for the Independence of Irrelevant Alternatives Property
Author: Robert D. BrooksPublisher:
ISBN: 9780732607623
Category : Monte Carlo method
Languages : en
Pages : 8
Book Description
Discrete Choice Methods with Simulation
Author: Kenneth TrainPublisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399
Book Description
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.
Interpreting Probability Models
Author: Tim Futing LiaoPublisher: SAGE
ISBN: 9780803949997
Category : Mathematics
Languages : en
Pages : 100
Book Description
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.
Continuity Versus Independence of Irrelevant Alternatives
Author: M. McManusMicroeconometrics
Author: A. Colin CameronPublisher: Cambridge University Press
ISBN: 9780521848053
Category : Business & Economics
Languages : en
Pages : 1064
Book Description
The book is oriented to the practitioner.
Regression Models for Categorical and Limited Dependent Variables
Author: J. Scott LongPublisher: SAGE
ISBN: 9780803973749
Category : Mathematics
Languages : en
Pages : 334
Book Description
Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.
Author: D. J. White