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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 [[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-9910825632103321 |
|
Rossi Peter E (Peter Eric), <1955->
|
||
| Chichester, England, : J. Wiley, 2006, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data-driven marketing [[electronic resource] ] : the 15 metrics everyone in marketing should know / / Mark Jeffery
| Data-driven marketing [[electronic resource] ] : the 15 metrics everyone in marketing should know / / Mark Jeffery |
| Autore | Jeffery Mark <1965-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2010 |
| Descrizione fisica | 1 online resource (323 p.) |
| Disciplina | 658.8/3 |
| Soggetto topico |
Marketing research
Marketing - Mathematical models Marketing |
| ISBN |
0-470-59569-8
1-119-19866-6 1-282-54841-7 9786612548413 0-470-59568-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know; CONTENTS; DOWNLOADABLE ROMI RESOURCES; ACKNOWLEDGMENTS; INTRODUCTION; Part I: Essentials; Chapter 1: The Marketing Divide; Chapter 2: Where Do You Start?; Chapter 3: The 10 Classical Marketing Metrics; Part II: 15 Metrics to Radically Improve Marketing Performance; Chapter 4: The Five Essential Nonfinancial Metrics; Chapter 5: Show Me the ROI!; Chapter 6: All Customers Are Not Equal; Chapter 7: From Clicks to Value with Internet Marketing Metrics; Part III: The Next Level; Chapter 8: Agile Marketing
Chapter 9: Wow, That Product Is Exactly What I Need!Chapter 10: What's It Going to Take?; Chapter 11: Marketing Budgets, Technology, and Core Processes; Appendix for Instructors: How to Use This Book to Teach Data-Driven Marketing; NOTES; INDEX |
| Record Nr. | UNINA-9910139510203321 |
|
Jeffery Mark <1965->
|
||
| Hoboken, N.J., : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data-driven marketing : the 15 metrics everyone in marketing should know / / Mark Jeffery
| Data-driven marketing : the 15 metrics everyone in marketing should know / / Mark Jeffery |
| Autore | Jeffery Mark <1965-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2010 |
| Descrizione fisica | 1 online resource (323 p.) |
| Disciplina | 658.8/3 |
| Soggetto topico |
Marketing research
Marketing - Mathematical models Marketing |
| ISBN |
0-470-59569-8
1-119-19866-6 1-282-54841-7 9786612548413 0-470-59568-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know; CONTENTS; DOWNLOADABLE ROMI RESOURCES; ACKNOWLEDGMENTS; INTRODUCTION; Part I: Essentials; Chapter 1: The Marketing Divide; Chapter 2: Where Do You Start?; Chapter 3: The 10 Classical Marketing Metrics; Part II: 15 Metrics to Radically Improve Marketing Performance; Chapter 4: The Five Essential Nonfinancial Metrics; Chapter 5: Show Me the ROI!; Chapter 6: All Customers Are Not Equal; Chapter 7: From Clicks to Value with Internet Marketing Metrics; Part III: The Next Level; Chapter 8: Agile Marketing
Chapter 9: Wow, That Product Is Exactly What I Need!Chapter 10: What's It Going to Take?; Chapter 11: Marketing Budgets, Technology, and Core Processes; Appendix for Instructors: How to Use This Book to Teach Data-Driven Marketing; NOTES; INDEX |
| Record Nr. | UNINA-9910828097403321 |
|
Jeffery Mark <1965->
|
||
| Hoboken, N.J., : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Effect of solution transition on steering the sales force : for new marketing and sales metrics / / Julien Schnerrer
| Effect of solution transition on steering the sales force : for new marketing and sales metrics / / Julien Schnerrer |
| Autore | Schnerrer Julien |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (77 p.) |
| Disciplina | 658.8 |
| Soggetto topico |
Marketing - Study and teaching
Marketing research Marketing - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-95489-591-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910463770803321 |
|
Schnerrer Julien
|
||
| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Effect of solution transition on steering the sales force : for new marketing and sales metrics / / Julien Schnerrer
| Effect of solution transition on steering the sales force : for new marketing and sales metrics / / Julien Schnerrer |
| Autore | Schnerrer Julien |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (77 p.) |
| Disciplina | 658.8 |
| Soggetto topico |
Marketing - Study and teaching
Marketing research Marketing - Mathematical models |
| ISBN | 3-95489-591-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910787998503321 |
|
Schnerrer Julien
|
||
| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Effect of solution transition on steering the sales force : for new marketing and sales metrics / / Julien Schnerrer
| Effect of solution transition on steering the sales force : for new marketing and sales metrics / / Julien Schnerrer |
| Autore | Schnerrer Julien |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (77 p.) |
| Disciplina | 658.8 |
| Soggetto topico |
Marketing - Study and teaching
Marketing research Marketing - Mathematical models |
| ISBN | 3-95489-591-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910812733503321 |
|
Schnerrer Julien
|
||
| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Journal of computational science
| Journal of computational science |
| Pubbl/distr/stampa | [Amsterdam], : Elsevier, ©2010- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Marketing - Data processing
Marketing - Mathematical models Computational complexity |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1877-7503 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | JoCS |
| Record Nr. | UNISA-996210673203316 |
| [Amsterdam], : Elsevier, ©2010- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Journal of computational science
| Journal of computational science |
| Pubbl/distr/stampa | [Amsterdam], : Elsevier, ©2010- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Marketing - Data processing
Marketing - Mathematical models Computational complexity |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1877-7503 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | JoCS |
| Record Nr. | UNINA-9910139144403321 |
| [Amsterdam], : Elsevier, ©2010- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative modelling in marketing and management [[electronic resource] /] / by Luiz Moutinho, Kun-Huang Huarng
| Quantitative modelling in marketing and management [[electronic resource] /] / by Luiz Moutinho, Kun-Huang Huarng |
| Autore | Moutinho Luiz |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina |
658.8001
658.80011 |
| Altri autori (Persone) | HuarngKun-Huang |
| Soggetto topico |
Management - Mathematical models
Marketing - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-85086-9
981-4407-72-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; Introduction; Part 1. Statistical Modelling; Part 2. Computer Modelling; Part 3. Mathematical and Other Models; References; Part 1. Statistical Modelling; Chapter 1. A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing Wayne S. DeSarbo and Sunghoon Kim; 1. Introduction; 2. The Vector MDS Model; 2.1. The individual level vector MDS model; 2.2. The segment level or clusterwise vector MDS model; 3. The Unfolding MDS Model; 3.1. The individual level simple unfolding model
3.2. The segment level or clusterwise multidimensional unfolding model 4. A Marketing Application; 4.1. The vector model results; 4.2. The simple unfolding model results; 5. Discussion; References; Chapter 2. Role of Structural Equation Modelling in Theory Testing and Development Parikshat S. Manhas, Ajay K. Manrai, Lalita A. Manrai and Ramjit; 1. Introduction; 1.1. Structural equation modelling; 1.2. Terminology, rules, and conventions; 2. Structural Equation Modeling - Example; 2.1. Model identification; Model specification; 2.2. Goodness-of-fit 2.3. Model fit summary for the current example 3. Model Estimation, Modification and Interpretation; References; APPENDIX; Steps To Launch Amos Graphics; Chapter 3. Partial Least Squares Path Modelling in Marketing and Management Research: An Annotated Application Joaquín Aldás-Manzano; 1. Introduction; 2. The PLSPM Algorithm; 3. PLSPM Properties: Strengths and Weaknesses; 4. Applied Example: The Role of Trust on Consumers Adoption of Online Banking; 4.1. The model; 4.2. Method; 4.3. Estimating a PLSPM. Step 1. Dealing with second order factors 4.4. Estimating a PLSPM. Step 2. Validating the measurement (outer) model 4.4.1. Reliability; 4.4.2. Convergent validity; 4.4.3. Discriminant validity; 4.5. Estimating a PLSPM. Step 3. Assessing the structural (inner) model; 4.5.1. R2 of dependent LV; 4.5.2. Predictive relevance; 4.6. Estimating a PLSPM. Step 4. Hypotheses testing; 5. Conclusion; References; Chapter 4. DEA- Data Envelopment Analysis: Models, Methods and Applications Dr. Alex Manzoni and Professor Sardar M.N Islam; 1. Introduction; 2. Basic DEA Model; 3. Slack and Returns to Scale; 4. Assumptions, Strengths and Limitations 5. Applications, Examples and Computation Programs 6. Conclusion; Acknowledgement; References; Chapter 5. Statistical Model Selection Graeme D Hutcheson; 1. Introduction; 2. Some Example Analyses; 2.1. Tourism in Portugal; 2.2. Union membership; 3. Problem 1: Including Non-Important Variables in the Model; 3.1. Simulating data; 3.2. Models derived from simulated data; 4. Problem 2: Not Including Important Variables in the Model; 4.1. Modelling fuel consumption; 5. Conclusion; References; Part 2. Computer Modelling Chapter 6. Artificial Neural Networks and Structural Equation Modelling: An Empirical Comparison to Evaluate Business Customer Loyalty Arnaldo Coelho, Luiz Moutinho, Graeme D Hutcheson and Maria Manuela Santos Silva |
| Record Nr. | UNINA-9910464801003321 |
|
Moutinho Luiz
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
