Quantitative models in marketing research /:
"Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics and marketing-mix variables." "This book presents t...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2001.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics and marketing-mix variables." "This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real-world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature." "Pathways are offered in the book for students and practitioners with differing statistical and mathematical skill levels, although a basic knowledge of elementary numerical techniques is assumed."--Jacket |
| Beschreibung: | 1 online resource (xiii, 206 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 196-201) and index. |
| ISBN: | 0511013019 9780511013010 0511032374 9780511032370 0511119364 9780511119361 9780511753794 0511753799 9781280154843 1280154845 9786610154845 6610154848 0511047649 9780511047640 |
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| 100 | 1 | |a Franses, Philip Hans, |d 1963- |1 https://id.oclc.org/worldcat/entity/E39PBJjxw3KWKXQyq4gJbgrwmd |0 http://id.loc.gov/authorities/names/n93030490 | |
| 245 | 1 | 0 | |a Quantitative models in marketing research / |c Philip Hans Franses and Richard Paap. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2001. | ||
| 300 | |a 1 online resource (xiii, 206 pages) : |b illustrations | ||
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| 347 | |a data file | ||
| 504 | |a Includes bibliographical references (pages 196-201) and index. | ||
| 505 | 0 | 0 | |t On marketing research -- |t Data -- |t Models -- |t Features of marketing research data -- |t Quantitative models -- |t Marketing performance measures -- |t A continuous variable -- |t A binomial variable -- |t An unordered multinomial variable -- |t An ordered multinomial variable -- |t A limited continuous variable -- |t A duration variable -- |t A continuous dependent variable -- |t The standard Linear Regression model -- |t Estimation -- |t Estimation by Ordinary Least Squares -- |t Estimation by Maximum Likelihood -- |t Diagnostics, model selection and forecasting -- |t Diagnostics -- |t Model selection -- |t Forecasting -- |t Modeling sales -- |t Advanced topics -- |t A binomial dependent variable -- |t Representation and interpretation -- |t Modeling a binomial dependent variable -- |t The Logit and Probit models -- |t Model interpretation -- |t Estimation -- |t The Logit model -- |t The Probit model -- |t Visualizing estimation results -- |t Diagnostics, model selection and forecasting -- |t Diagnostics -- |t Model selection -- |t Forecasting -- |t Modeling the choice between two brands -- |t Advanced topics -- |t Modeling unobserved heterogeneity -- |t Modeling dynamics -- |t Sample selection issues -- |t An unordered multinomial dependent variable -- |t Representation and interpretation -- |t The Multinomial and Conditional Logit models -- |t The Multinomial Probit model -- |t The Nested Logit model -- |t Estimation -- |t The Multinomial and Conditional Logit models -- |t The Multinomial Probit model -- |t The Nested Logit model -- |t Diagnostics, model selection and forecasting -- |t Diagnostics -- |t Model selection -- |t Forecasting. |
| 520 | 1 | |a "Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics and marketing-mix variables." "This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real-world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature." "Pathways are offered in the book for students and practitioners with differing statistical and mathematical skill levels, although a basic knowledge of elementary numerical techniques is assumed."--Jacket | |
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Marketing research |x Mathematical models. | |
| 650 | 6 | |a Marketing |x Recherche |x Modèles mathématiques. | |
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| 650 | 7 | |a Marketing research |x Mathematical models |2 fast | |
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| 650 | 1 | 7 | |a Marktonderzoek. |2 gtt |0 (NL-LeOCL)078583985 |
| 650 | 1 | 7 | |a Kwantitatieve methoden. |2 gtt |0 (NL-LeOCL)078568188 |
| 653 | |a Electronic resource. | ||
| 655 | 0 | |a Electronic books. | |
| 655 | 7 | |a Leermiddelen (vorm) |2 gtt | |
| 700 | 1 | |a Paap, Richard, |d 1969- | |
| 758 | |i has work: |a Quantitative models in marketing research (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGDjHpd4BJv7TYkhH6Br4q |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Franses, Philip Hans, 1963- |t Quantitative models in marketing research. |d Cambridge ; New York : Cambridge University Press, 2001 |z 0521801664 |w (DLC) 2001025424 |w (OCoLC)46359538 |
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| author | Franses, Philip Hans, 1963- |
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| contents | 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 -- The Logit model -- The Probit model -- Visualizing estimation results -- Modeling the choice between two brands -- Modeling unobserved heterogeneity -- Modeling dynamics -- Sample selection issues -- An unordered multinomial dependent variable -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Forecasting. |
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| indexdate | 2024-11-27T13:15:21Z |
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| language | English |
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| physical | 1 online resource (xiii, 206 pages) : illustrations |
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| spelling | Franses, Philip Hans, 1963- https://id.oclc.org/worldcat/entity/E39PBJjxw3KWKXQyq4gJbgrwmd http://id.loc.gov/authorities/names/n93030490 Quantitative models in marketing research / Philip Hans Franses and Richard Paap. Cambridge ; New York : Cambridge University Press, 2001. 1 online resource (xiii, 206 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome. rdacc http://rdaregistry.info/termList/RDAColourContent/1003 data file Includes bibliographical references (pages 196-201) and index. 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. "Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics and marketing-mix variables." "This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real-world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature." "Pathways are offered in the book for students and practitioners with differing statistical and mathematical skill levels, although a basic knowledge of elementary numerical techniques is assumed."--Jacket Print version record. Marketing research Mathematical models. Marketing Recherche Modèles mathématiques. BUSINESS & ECONOMICS Marketing Research. bisacsh Marketing research Mathematical models fast Marketingforschung gnd http://d-nb.info/gnd/4200055-5 Mathematisches Modell gnd http://d-nb.info/gnd/4114528-8 Marktonderzoek. gtt (NL-LeOCL)078583985 Kwantitatieve methoden. gtt (NL-LeOCL)078568188 Electronic resource. Electronic books. Leermiddelen (vorm) gtt Paap, Richard, 1969- has work: Quantitative models in marketing research (Text) https://id.oclc.org/worldcat/entity/E39PCGDjHpd4BJv7TYkhH6Br4q https://id.oclc.org/worldcat/ontology/hasWork Print version: Franses, Philip Hans, 1963- Quantitative models in marketing research. Cambridge ; New York : Cambridge University Press, 2001 0521801664 (DLC) 2001025424 (OCoLC)46359538 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=73143 Volltext |
| spellingShingle | Franses, Philip Hans, 1963- Quantitative models in marketing research / 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 -- The Logit model -- The Probit model -- Visualizing estimation results -- Modeling the choice between two brands -- Modeling unobserved heterogeneity -- Modeling dynamics -- Sample selection issues -- An unordered multinomial dependent variable -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Forecasting. Marketing research Mathematical models. Marketing Recherche Modèles mathématiques. BUSINESS & ECONOMICS Marketing Research. bisacsh Marketing research Mathematical models fast Marketingforschung gnd http://d-nb.info/gnd/4200055-5 Mathematisches Modell gnd http://d-nb.info/gnd/4114528-8 Marktonderzoek. gtt (NL-LeOCL)078583985 Kwantitatieve methoden. gtt (NL-LeOCL)078568188 |
| subject_GND | http://d-nb.info/gnd/4200055-5 http://d-nb.info/gnd/4114528-8 (NL-LeOCL)078583985 (NL-LeOCL)078568188 |
| title | Quantitative models in marketing research / |
| title_alt | 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 -- The Logit model -- The Probit model -- Visualizing estimation results -- Modeling the choice between two brands -- Modeling unobserved heterogeneity -- Modeling dynamics -- Sample selection issues -- An unordered multinomial dependent variable -- The Multinomial and Conditional Logit models -- The Multinomial Probit model -- The Nested Logit model -- Forecasting. |
| title_auth | Quantitative models in marketing research / |
| title_exact_search | Quantitative models in marketing research / |
| title_full | Quantitative models in marketing research / Philip Hans Franses and Richard Paap. |
| title_fullStr | Quantitative models in marketing research / Philip Hans Franses and Richard Paap. |
| title_full_unstemmed | Quantitative models in marketing research / Philip Hans Franses and Richard Paap. |
| title_short | Quantitative models in marketing research / |
| title_sort | quantitative models in marketing research |
| topic | Marketing research Mathematical models. Marketing Recherche Modèles mathématiques. BUSINESS & ECONOMICS Marketing Research. bisacsh Marketing research Mathematical models fast Marketingforschung gnd http://d-nb.info/gnd/4200055-5 Mathematisches Modell gnd http://d-nb.info/gnd/4114528-8 Marktonderzoek. gtt (NL-LeOCL)078583985 Kwantitatieve methoden. gtt (NL-LeOCL)078568188 |
| topic_facet | Marketing research Mathematical models. Marketing Recherche Modèles mathématiques. BUSINESS & ECONOMICS Marketing Research. Marketing research Mathematical models Marketingforschung Mathematisches Modell Marktonderzoek. Kwantitatieve methoden. Electronic books. Leermiddelen (vorm) |
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| work_keys_str_mv | AT fransesphiliphans quantitativemodelsinmarketingresearch AT paaprichard quantitativemodelsinmarketingresearch |