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Record Nr. |
UNINA9910142573003321 |
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Autore |
Rossi Peter E (Peter Eric), <1955-> |
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Titolo |
Bayesian statistics and marketing [[electronic resource] /] / Peter E. Rossi, Greg M. Allenby, Robert McCulloch |
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Pubbl/distr/stampa |
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Chichester, England, : J. Wiley, 2006, c2005 |
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ISBN |
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1-280-59232-X |
9786613622150 |
0-470-86369-2 |
0-470-86368-4 |
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Edizione |
[Reprinted with corrections.] |
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Descrizione fisica |
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1 online resource (372 p.) |
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Collana |
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Wiley series in probability and statistics |
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Altri autori (Persone) |
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AllenbyGreg M <1956-> (Greg Martin) |
McCullochRobert E (Robert Edward) |
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Disciplina |
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Soggetti |
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Bayesian statistical decision theory |
Marketing research - Mathematical models |
Marketing - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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