000			03831nam a22005055i 4500
001			978-3-540-71404-0
003			DE-He213
005			20161121231001.0
007			cr nn 008mamaa
008			100301s2007 gw | s |||| 0|eng d
020			_a9783540714040 _9978-3-540-71404-0
024	7		_a10.1007/978-3-540-71404-0 _2doi
050		4	_aHF5410-5417.5
072		7	_aKJS _2bicssc
072		7	_aKJSM _2bicssc
072		7	_aBUS043000 _2bisacsh
082	0	4	_a658.8 _223
245	1	0	_aConjoint Measurement _h[electronic resource] : _bMethods and Applications / _cedited by Anders Gustafsson, Andreas Herrmann, Frank Huber.
250			_aFourth Edition.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007.
300			_aVIII, 373 p. 39 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aConjoint Analysis as an Instrument of Market Research Practice -- Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effects of Price -- Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data -- A Comparison of Conjoint Measurement with Self-Explicated Approaches -- Non-geometric Plackett-Burman Designs in Conjoint Analysis -- On the Influence of the Evaluation Methods in Conjoint Design - Some Empirical Results -- Evolutionary Conjoint -- The Value of Extent-of-Preference Information in Choice-Based Conjoint Analysis -- A Multi-trait Multi-method Validity Test of Partworth Estimates -- Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference Elicitation Methods -- Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications -- Optimization-Based and Machine-Learning Methods for Conjoint Analysis: Estimation and Question Design -- The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis -- Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages -- Latent Class Models for Conjoint Analysis -- A Generalized Normative Segmentation Methodology Employing Conjoint Analysis -- Dealing with Product Similarity in Conjoint Simulations -- Sales Forecasting with Conjoint Analysis by Addressing Its Key Assumptions with Sequential Game Theory and Macro-Flow Modeling.
520			_aThe book covers all recent developments in Conjoint Analysis. Leading scientists present theory and applications of this technique. In short, the following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modelling, new choice simulators, normative models for representing competitive actions and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimisation (including Pareto frontier analysis), coupling of conjoint analysis with the perceptual and preference mapping of choice simulator results.
650		0	_aBusiness.
650		0	_aMarketing.
650		0	_aManagement.
650		0	_aStatistics.
650	1	4	_aBusiness and Management.
650	2	4	_aMarketing.
650	2	4	_aStatistics for Business/Economics/Mathematical Finance/Insurance.
650	2	4	_aManagement.
700	1		_aGustafsson, Anders. _eeditor.
700	1		_aHerrmann, Andreas. _eeditor.
700	1		_aHuber, Frank. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540714033
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-71404-0
912			_aZDB-2-SBE
950			_aBusiness and Economics (Springer-11643)
999			_c506813 _d506813