Conjoint Analysis Based on the Chebyshev Estimation, with Application to New Product Development of Cellular Phone
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김부용 (숙명여자대학교 수학통계학부) |
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A unified approach to conjoint analysis models
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DOI ScienceOn |
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Using conjoint analysis in industrial marketing
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DOI ScienceOn |
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An empirical comparison of predictive validity for self-explicated, Huber-hybrid, traditional conjoint, and hybrid conjoint models
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DOI ScienceOn |
4 |
A least squares procedure for benefit segmentation with conjoint experiments
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DOI ScienceOn |
5 |
Analysis of factorial experiments by estimating monotone transformations of the data
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6 |
An approach to the measurement of consumer preferences using limited information
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DOI ScienceOn |
7 |
Sample size issues for conjoint analysis studies
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8 |
An assumption-free convergence analysis for a perturbation of the scaling algorithm for linear programs, with application to the L₁-estimation problem
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DOI |
9 |
An algorithm for discrete Chebychev curve fitting for the simple model using a dual linear programming approach
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10 |
Commercial use of conjoint analysis: an update
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DOI ScienceOn |
11 |
Commercial use of conjoint analysis in europe: results and critical reflections
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DOI ScienceOn |
12 |
A general approach to product design optimization via conjoint analysis
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DOI ScienceOn |
13 |
On L₁ and Chebyshev estimation
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DOI |
14 |
Algorithm 495 : Solution of an over-determined system of linear equations in the Chebyshev norm
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DOI |
15 |
Psychometric methods in marketing research: Part Ⅰ, conjoint analysis
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DOI ScienceOn |
16 |
Cross-validation assessment of alternatives to individual-level conjoint analysis : A case study
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DOI ScienceOn |
17 |
Conjoint measurement for quantifying judgemental data
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DOI ScienceOn |
18 |
Conjoint analysis in consumer research : issues and outlook
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DOI ScienceOn |
19 |
Conjoint analysis in marketing : new developments with implications for research and practice
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DOI ScienceOn |
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