The Resource Quantitative models in marketing research, Philip Hans Franses and Richard Paap
Quantitative models in marketing research, Philip Hans Franses and Richard Paap
Resource Information
The item Quantitative models in marketing research, Philip Hans Franses and Richard Paap represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Quantitative models in marketing research, Philip Hans Franses and Richard Paap represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- Summary
- "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
- Language
- eng
- Extent
- 1 online resource (xiii, 206 pages)
- Contents
-
- 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
- On marketing research
- 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
- Data
- 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
- Models
- 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
- Features of marketing research data
- The Multinomial Probit model
- The Nested Logit model
- Diagnostics, model selection and forecasting
- Diagnostics
- Model selection
- Forecasting
- Quantitative models
- Marketing performance measures
- A continuous variable
- A binomial variable
- Isbn
- 9780511013010
- Label
- Quantitative models in marketing research
- Title
- Quantitative models in marketing research
- Statement of responsibility
- Philip Hans Franses and Richard Paap
- Language
- eng
- Summary
- "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
- Cataloging source
- N$T
- http://library.link/vocab/creatorDate
- 1963-
- http://library.link/vocab/creatorName
- Franses, Philip Hans
- Dewey number
- 658.8/3/015118
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HF5415.2
- LC item number
- .F714 2001eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Paap, Richard
- http://library.link/vocab/subjectName
-
- Marketing research
- BUSINESS & ECONOMICS
- Marketing research
- Marketingforschung
- Mathematisches Modell
- Marktonderzoek
- Kwantitatieve methoden
- Label
- Quantitative models in marketing research, Philip Hans Franses and Richard Paap
- Bibliography note
- Includes bibliographical references (pages 196-201) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 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
- On marketing research
- 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
- Data
- 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
- Models
- 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
- Features of marketing research data
- The Multinomial Probit model
- The Nested Logit model
- Diagnostics, model selection and forecasting
- Diagnostics
- Model selection
- Forecasting
- Quantitative models
- Marketing performance measures
- A continuous variable
- A binomial variable
- Control code
- 51202824
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 206 pages)
- Form of item
- online
- Isbn
- 9780511013010
- Lccn
- 2001025424
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
-
- ebl157045
- 0047654b-4430-4d83-a88c-4eedeaa5bbcd
- Specific material designation
- remote
- System control number
- (OCoLC)51202824
- Label
- Quantitative models in marketing research, Philip Hans Franses and Richard Paap
- Bibliography note
- Includes bibliographical references (pages 196-201) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 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
- On marketing research
- 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
- Data
- 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
- Models
- 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
- Features of marketing research data
- The Multinomial Probit model
- The Nested Logit model
- Diagnostics, model selection and forecasting
- Diagnostics
- Model selection
- Forecasting
- Quantitative models
- Marketing performance measures
- A continuous variable
- A binomial variable
- Control code
- 51202824
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 206 pages)
- Form of item
- online
- Isbn
- 9780511013010
- Lccn
- 2001025424
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
-
- ebl157045
- 0047654b-4430-4d83-a88c-4eedeaa5bbcd
- Specific material designation
- remote
- System control number
- (OCoLC)51202824
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Quantitative-models-in-marketing-research-Philip/b9bKMx-c8Z0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Quantitative-models-in-marketing-research-Philip/b9bKMx-c8Z0/">Quantitative models in marketing research, Philip Hans Franses and Richard Paap</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
