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Bayesian statistics and marketing [[electronic resource] /] / Peter E. Rossi, Greg M. Allenby, Robert McCulloch
| Bayesian statistics and marketing [[electronic resource] /] / Peter E. Rossi, Greg M. Allenby, Robert McCulloch |
| Autore | Rossi Peter E (Peter Eric), <1955-> |
| Edizione | [Reprinted with corrections.] |
| Pubbl/distr/stampa | Chichester, England, : J. Wiley, 2006, c2005 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina |
658.8
658.83015118 |
| Altri autori (Persone) |
AllenbyGreg M <1956-> (Greg Martin)
McCullochRobert E (Robert Edward) |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Bayesian statistical decision theory
Marketing research - Mathematical models Marketing - Mathematical models |
| ISBN |
1-280-59232-X
9786613622150 0-470-86369-2 0-470-86368-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Bayesian Statistics and Marketing; Contents; 1 Introduction; 1.1 A Basic Paradigm for Marketing Problems; 1.2 A Simple Example; 1.3 Benefits and Costs of the Bayesian Approach; 1.4 An Overview of Methodological Material and Case Studies; 1.5 Computing and This Book; Acknowledgements; 2 Bayesian Essentials; 2.0 Essential Concepts from Distribution Theory; 2.1 The Goal of Inference and Bayes' Theorem; 2.2 Conditioning and the Likelihood Principle; 2.3 Prediction and Bayes; 2.4 Summarizing the Posterior; 2.5 Decision Theory, Risk, and the Sampling Properties of Bayes Estimators
2.6 Identification and Bayesian Inference 2.7 Conjugacy, Sufficiency, and Exponential Families; 2.8 Regression and Multivariate Analysis Examples; 2.9 Integration and Asymptotic Methods; 2.10 Importance Sampling; 2.11 Simulation Primer for Bayesian Problems; 2.12 Simulation from the Posterior of the Multivariate Regression Model; 3 Markov Chain Monte Carlo Methods; 3.1 Markov Chain Monte Carlo Methods; 3.2 A Simple Example: Bivariate Normal Gibbs Sampler; 3.3 Some Markov Chain Theory; 3.4 Gibbs Sampler; 3.5 Gibbs Sampler for the Seemingly Unrelated Regression Model 3.6 Conditional Distributions and Directed Graphs 3.7 Hierarchical Linear Models; 3.8 Data Augmentation and a Probit Example; 3.9 Mixtures of Normals; 3.10 Metropolis Algorithms; 3.11 Metropolis Algorithms Illustrated with the Multinomial Logit Model; 3.12 Hybrid Markov Chain Monte Carlo Methods; 3.13 Diagnostics; 4 Unit-Level Models and Discrete Demand; 4.1 Latent Variable Models; 4.2 Multinomial Probit Model; 4.3 Multivariate Probit Model; 4.4 Demand Theory and Models Involving Discrete Choice; 5 Hierarchical Models for Heterogeneous Units; 5.1 Heterogeneity and Priors 5.2 Hierarchical Models 5.3 Inference for Hierarchical Models; 5.4 A Hierarchical Multinomial Logit Example; 5.5 Using Mixtures of Normals; 5.6 Further Elaborations of the Normal Model of Heterogeneity; 5.7 Diagnostic Checks of the First-Stage Prior; 5.8 Findings and Influence on Marketing Practice; 6 Model Choice and Decision Theory; 6.1 Model Selection; 6.2 Bayes Factors in the Conjugate Setting; 6.3 Asymptotic Methods for Computing Bayes Factors; 6.4 Computing Bayes Factors Using Importance Sampling; 6.5 Bayes Factors Using MCMC Draws; 6.6 Bridge Sampling Methods 6.7 Posterior Model Probabilities with Unidentified Parameters 6.8 Chib's Method; 6.9 An Example of Bayes Factor Computation: Diagonal Multinomial Probit Models; 6.10 Marketing Decisions and Bayesian Decision Theory; 6.11 An Example of Bayesian Decision Theory: Valuing Household Purchase Information; 7 Simultaneity; 7.1 A Bayesian Approach to Instrumental Variables; 7.2 Structural Models and Endogeneity/Simultaneity; 7.3 Nonrandom Marketing Mix Variables; Case Study 1: A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts; Background; Model; Data; Results Discussion |
| Record Nr. | UNINA-9910142573003321 |
Rossi Peter E (Peter Eric), <1955->
|
||
| Chichester, England, : J. Wiley, 2006, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bayesian statistics and marketing / / Peter E. Rossi, Greg M. Allenby, Robert McCulloch
| Bayesian statistics and marketing / / Peter E. Rossi, Greg M. Allenby, Robert McCulloch |
| Autore | Rossi Peter E (Peter Eric), <1955-> |
| Edizione | [Reprinted with corrections.] |
| Pubbl/distr/stampa | Chichester, England, : J. Wiley, 2006, c2005 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina |
658.8
658.83015118 |
| Altri autori (Persone) |
AllenbyGreg M <1956-> (Greg Martin)
McCullochRobert E (Robert Edward) |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Bayesian statistical decision theory
Marketing research - Mathematical models Marketing - Mathematical models |
| ISBN |
9786613622150
9781280592324 128059232X 9780470863695 0470863692 9780470863688 0470863684 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Bayesian Statistics and Marketing; Contents; 1 Introduction; 1.1 A Basic Paradigm for Marketing Problems; 1.2 A Simple Example; 1.3 Benefits and Costs of the Bayesian Approach; 1.4 An Overview of Methodological Material and Case Studies; 1.5 Computing and This Book; Acknowledgements; 2 Bayesian Essentials; 2.0 Essential Concepts from Distribution Theory; 2.1 The Goal of Inference and Bayes' Theorem; 2.2 Conditioning and the Likelihood Principle; 2.3 Prediction and Bayes; 2.4 Summarizing the Posterior; 2.5 Decision Theory, Risk, and the Sampling Properties of Bayes Estimators
2.6 Identification and Bayesian Inference 2.7 Conjugacy, Sufficiency, and Exponential Families; 2.8 Regression and Multivariate Analysis Examples; 2.9 Integration and Asymptotic Methods; 2.10 Importance Sampling; 2.11 Simulation Primer for Bayesian Problems; 2.12 Simulation from the Posterior of the Multivariate Regression Model; 3 Markov Chain Monte Carlo Methods; 3.1 Markov Chain Monte Carlo Methods; 3.2 A Simple Example: Bivariate Normal Gibbs Sampler; 3.3 Some Markov Chain Theory; 3.4 Gibbs Sampler; 3.5 Gibbs Sampler for the Seemingly Unrelated Regression Model 3.6 Conditional Distributions and Directed Graphs 3.7 Hierarchical Linear Models; 3.8 Data Augmentation and a Probit Example; 3.9 Mixtures of Normals; 3.10 Metropolis Algorithms; 3.11 Metropolis Algorithms Illustrated with the Multinomial Logit Model; 3.12 Hybrid Markov Chain Monte Carlo Methods; 3.13 Diagnostics; 4 Unit-Level Models and Discrete Demand; 4.1 Latent Variable Models; 4.2 Multinomial Probit Model; 4.3 Multivariate Probit Model; 4.4 Demand Theory and Models Involving Discrete Choice; 5 Hierarchical Models for Heterogeneous Units; 5.1 Heterogeneity and Priors 5.2 Hierarchical Models 5.3 Inference for Hierarchical Models; 5.4 A Hierarchical Multinomial Logit Example; 5.5 Using Mixtures of Normals; 5.6 Further Elaborations of the Normal Model of Heterogeneity; 5.7 Diagnostic Checks of the First-Stage Prior; 5.8 Findings and Influence on Marketing Practice; 6 Model Choice and Decision Theory; 6.1 Model Selection; 6.2 Bayes Factors in the Conjugate Setting; 6.3 Asymptotic Methods for Computing Bayes Factors; 6.4 Computing Bayes Factors Using Importance Sampling; 6.5 Bayes Factors Using MCMC Draws; 6.6 Bridge Sampling Methods 6.7 Posterior Model Probabilities with Unidentified Parameters 6.8 Chib's Method; 6.9 An Example of Bayes Factor Computation: Diagonal Multinomial Probit Models; 6.10 Marketing Decisions and Bayesian Decision Theory; 6.11 An Example of Bayesian Decision Theory: Valuing Household Purchase Information; 7 Simultaneity; 7.1 A Bayesian Approach to Instrumental Variables; 7.2 Structural Models and Endogeneity/Simultaneity; 7.3 Nonrandom Marketing Mix Variables; Case Study 1: A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts; Background; Model; Data; Results Discussion |
| Record Nr. | UNINA-9910825632103321 |
|
Rossi Peter E (Peter Eric), <1955->
|
||
| Chichester, England, : J. Wiley, 2006, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Investment incentives and market power : an experimental analysis / / by Dean V. Williamson [and three others]
| Investment incentives and market power : an experimental analysis / / by Dean V. Williamson [and three others] |
| Autore | Williamson Dean V. |
| Pubbl/distr/stampa | Washington, DC : , : Economic Analysis Group, Antitrust Division, U.S. Department of Justice, , 2006 |
| Descrizione fisica | 1 online resource (47 pages) : illustrations |
| Collana | Economic Analysis Group discussion paper |
| Soggetto topico |
Investments - Mathematical models
Investment analysis - Mathematical models Marketing research - Mathematical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Investment incentives and market power |
| Record Nr. | UNINA-9910717246803321 |
|
Williamson Dean V.
|
||
| Washington, DC : , : Economic Analysis Group, Antitrust Division, U.S. Department of Justice, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative models in marketing research / / Philip Hans Franses and Richard Paap [[electronic resource]]
| Quantitative models in marketing research / / Philip Hans Franses and Richard Paap [[electronic resource]] |
| Autore | Franses Philip Hans <1963-> |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2001 |
| Descrizione fisica | 1 online resource (xiii, 206 pages) : digital, PDF file(s) |
| Disciplina | 658.8/3/015118 |
| Soggetto topico | Marketing research - Mathematical models |
| ISBN |
1-107-12279-1
0-521-14365-9 0-511-11936-4 0-511-15345-7 0-511-30344-0 1-280-15484-5 0-511-04764-9 0-511-75379-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On marketing research -- Data -- Models -- Features of marketing research data -- Quantitative models -- Marketing performance measures -- A continuous variable -- A binomial variable -- An unordered multinomial variable -- An ordered multinomial variable -- A limited continuous variable -- A duration variable -- A continuous dependent variable -- The standard Linear Regression model -- Estimation -- Estimation by Ordinary Least Squares -- Estimation by Maximum Likelihood -- Diagnostics, model selection and forecasting -- Diagnostics -- Model selection -- Forecasting -- Modeling sales -- Advanced topics -- A binomial dependent variable -- Representation and interpretation -- Modeling a binomial dependent variable -- The Logit and Probit models -- Model interpretation -- Estimation -- The Logit model -- The Probit model -- Visualizing estimation results -- Diagnostics, model selection and forecasting -- Diagnostics -- Model selection -- Forecasting -- Modeling the choice between two brands -- Advanced topics -- Modeling unobserved heterogeneity -- Modeling dynamics -- Sample selection issues -- An unordered multinomial dependent variable -- Representation and interpretation -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Estimation -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Diagnostics, model selection and forecasting -- Diagnostics -- Model selection -- Forecasting. |
| Record Nr. | UNINA-9910455324303321 |
|
Franses Philip Hans <1963->
|
||
| Cambridge : , : Cambridge University Press, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative models in marketing research / / Philip Hans Franses and Richard Paap [[electronic resource]]
| Quantitative models in marketing research / / Philip Hans Franses and Richard Paap [[electronic resource]] |
| Autore | Franses Philip Hans <1963-> |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2001 |
| Descrizione fisica | 1 online resource (xiii, 206 pages) : digital, PDF file(s) |
| Disciplina | 658.8/3/015118 |
| Soggetto topico | Marketing research - Mathematical models |
| ISBN |
1-107-12279-1
0-521-14365-9 0-511-11936-4 0-511-15345-7 0-511-30344-0 1-280-15484-5 0-511-04764-9 0-511-75379-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On marketing research -- Data -- Models -- Features of marketing research data -- Quantitative models -- Marketing performance measures -- A continuous variable -- A binomial variable -- An unordered multinomial variable -- An ordered multinomial variable -- A limited continuous variable -- A duration variable -- A continuous dependent variable -- The standard Linear Regression model -- Estimation -- Estimation by Ordinary Least Squares -- Estimation by Maximum Likelihood -- Diagnostics, model selection and forecasting -- Diagnostics -- Model selection -- Forecasting -- Modeling sales -- Advanced topics -- A binomial dependent variable -- Representation and interpretation -- Modeling a binomial dependent variable -- The Logit and Probit models -- Model interpretation -- Estimation -- The Logit model -- The Probit model -- Visualizing estimation results -- Diagnostics, model selection and forecasting -- Diagnostics -- Model selection -- Forecasting -- Modeling the choice between two brands -- Advanced topics -- Modeling unobserved heterogeneity -- Modeling dynamics -- Sample selection issues -- An unordered multinomial dependent variable -- Representation and interpretation -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Estimation -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Diagnostics, model selection and forecasting -- Diagnostics -- Model selection -- Forecasting. |
| Record Nr. | UNINA-9910780087403321 |
|
Franses Philip Hans <1963->
|
||
| Cambridge : , : Cambridge University Press, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
