000			04164cam a22004094a 4500
001			5428
003			BD-DhEWU
005			20180128114847.0
008			010222s2001 enka g b 001 0 eng d
010			_a 2001025424
020			_a0521801664
020			_a9780521801669
035			_a(OCoLC)46359538
040			_aDLC _cDLC _dDLC _dBD-DhEWU _beng
041			_aeng
050	0	0	_aHF5415.2 _b.F714 2001
082	0	4	_a658.83015 _bFRQ 2001
100	1		_aFranses, Philip Hans, _d1963- _98116
245	1	0	_aQuantitative models in marketing research / _cPhilip Hans Franses and Richard Paap.
260			_aCambridge, UK ; _aNew York : _bCambridge University Press, _c2001.
300			_axiii, 206 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references (p. 196-201) and index.
505			_tTOC _a 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.
520			_aSummary: "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."--BOOK JACKET.
526			_aBA
590			_aSagar Shahanawaz
650		0	_aMarketing research _xMathematical models. _914140
700	1		_aPaap, Richard. _914141
856	4	1	_3Sample text _uhttp://www.loc.gov/catdir/samples/cam031/2001025424.html
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/description/cam021/2001025424.html
856	4	1	_3Table of contents _uhttp://www.loc.gov/catdir/toc/cam021/2001025424.html
856	4	2	_3Contributor biographical information _uhttp://www.loc.gov/catdir/enhancements/fy0731/2001025424-b.html
856	4	2	_3WorldCat details _uhttps://www.worldcat.org/title/quantitative-models-in-marketing-research/oclc/46359538&referer=brief_results
856	4	2	_3Ebook Fulltext _uhttp://lib.ewubd.edu/ebook/5428
942			_2ddc _cTEXT _02
999			_c5428 _d5428
999			_c5428 _d5428