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Estimating Discrete Joint Probability Distributions for Demographic Characteristics at the Store Level Given Store Level Marginal Distributions and a Market-wide Joint Distribution

Estimating Discrete Joint Probability Distributions for Demographic Characteristics at the Store Level Given Store Level Marginal Distributions and a Market-wide Joint Distribution PDF Author: Charles J. Romeo
Publisher:
ISBN:
Category : Demography
Languages : en
Pages : 44

Book Description

Estimating Discrete Joint Probability Distributions for Demographic Characteristics at the Store Level Given Store Level Marginal Distributions and a Market-wide Joint Distribution

Estimating Discrete Joint Probability Distributions for Demographic Characteristics at the Store Level Given Store Level Marginal Distributions and a Market-wide Joint Distribution PDF Author: Charles J. Romeo
Publisher:
ISBN:
Category : Demography
Languages : en
Pages : 44

Book Description

Renegotiation, Dynamic Efficiency, and Vertical Restraints in Electricity Marketing Contracts

Renegotiation, Dynamic Efficiency, and Vertical Restraints in Electricity Marketing Contracts PDF Author: Dean V. Williamson
Publisher:
ISBN:
Category : Contracts
Languages : en
Pages : 66

Book Description

Controlling for Temporary Promotions in a Differentiated Products Model of Consumer Demand

Controlling for Temporary Promotions in a Differentiated Products Model of Consumer Demand PDF Author: Charles J. Romeo
Publisher:
ISBN:
Category : Consumers' preferences
Languages : en
Pages : 68

Book Description

Essays on finite mixture models

Essays on finite mixture models PDF Author: Abram van Dijk
Publisher: Rozenberg Publishers
ISBN: 9036101344
Category :
Languages : en
Pages : 138

Book Description
Finite mixture distributions are a weighted average of a finite number of distributions. The latter are usually called the mixture components. The weights are usually described by a multinomial distribution and are sometimes called mixing proportions. The mixture components may be the same type of distributions with di®erent parameter values but they may also be completely different distributions. Therefore, finite mixture distributions are very °exible for modeling data. They are frequently used as a building block within many modern econometric models. The specification of the mixture distribution depends on the modeling problem at hand. In this thesis, we introduce new applications of finite mixtures to deal with several di®erent modeling issues. Each chapter of the thesis focusses on a specific modeling issue. The parameters of some of the resulting models can be estimated using standard techniques but for some of the chapters we need to develop new estimation and inference methods. To illustrate how the methods can be applied, we analyze at least one empirical data set for each approach. These data sets cover a wide range of research fields, such as macroeconomics, marketing, and political science. We show the usefulness of the methods and, in some cases, the improvement over previous methods in the literature.

Regulatory Reform

Regulatory Reform PDF Author: Russell Pittman
Publisher:
ISBN:
Category : Electric utilities
Languages : en
Pages : 38

Book Description

The American Airlines Decision

The American Airlines Decision PDF Author: Gregory J. Werden
Publisher:
ISBN:
Category : Airlines
Languages : en
Pages : 28

Book Description

Federal Antitrust Developments in the United States: Annual Reports to the Competition Committee of the Directorate For Financial and Enterprise Affairs of the Organisation for Economic Co-operation and Development 2004

Federal Antitrust Developments in the United States: Annual Reports to the Competition Committee of the Directorate For Financial and Enterprise Affairs of the Organisation for Economic Co-operation and Development 2004 PDF Author:
Publisher: DIANE Publishing
ISBN: 1428953213
Category :
Languages : en
Pages : 29

Book Description

PDF Author:
Publisher: Cengage Learning
ISBN: 0357715985
Category :
Languages : en
Pages : 1218

Book Description

Introduction to Probability

Introduction to Probability PDF Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599

Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF Author: Kenneth Train
Publisher: 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.
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