.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Marketing Research and Modeling: Progress and Prospects
. Ed(S): Wind, Yoram; Green, Paul E.
€ 289.66
FREE Delivery in Ireland
Description for Marketing Research and Modeling: Progress and Prospects
Hardback. Emphasizes the various developments in Bayesian decision analysis, multivariate analysis, multidimensional scaling, conjoint analysis, applications of conjoint and MDS technique, data mining, cluster analysis, and neural networks. Editor(s): Wind, Yoram; Green, Paul E. Series: International Series in Quantitative Marketing. Num Pages: 346 pages, biography. BIC Classification: KJSM. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156 x 20. Weight in Grams: 720.
Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.
Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.
Product Details
Format
Hardback
Publication date
2003
Publisher
Kluwer Academic Publishers United States
Number of pages
346
Condition
New
Series
International Series in Quantitative Marketing
Number of Pages
346
Place of Publication
New York, NY, United States
ISBN
9781402075964
SKU
V9781402075964
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Marketing Research and Modeling: Progress and Prospects