Conjoint Analysis is one of the most recent popular statistical techniques, which is being used in every kind of field to find the relative importance of preferences. Conjoint analysis engages the measurement of psychological judgments (consumer preferences, or accept abilities) or perceived similarities or differences between choice alternatives. Each problem of finding the preferences could be identified and solved by using the conjoint analysis methodology. Random Utility Model explains that the decision maker has a perfect discrimination capability. In this context if analyst has not the complete information then the uncertainty always be in the decisions. Faisal Conjoint Model (FCM) is a the integrated model of conjoint analysis and random utility models. Its design is independent of design structure. It could be used for any research design, i.e., full profile, orthogonal, factorial, supersaturated, etc. Another important point about FCM is about its rank procedure. It works for every kind of ranks, i.e., unique ranks, percentage ranks, tied ranks, missing ranks etc.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Conjoint Analysis is one of the most recent popular statistical techniques, which is being used in every kind of field to find the relative importance of preferences. Conjoint analysis engages the measurement of psychological judgments (consumer preferences, or accept abilities) or perceived similarities or differences between choice alternatives. Each problem of finding the preferences could be identified and solved by using the conjoint analysis methodology. Random Utility Model explains that the decision maker has a perfect discrimination capability. In this context if analyst has not the complete information then the uncertainty always be in the decisions. Faisal Conjoint Model (FCM) is a the integrated model of conjoint analysis and random utility models. Its design is independent of design structure. It could be used for any research design, i.e., full profile, orthogonal, factorial, supersaturated, etc. Another important point about FCM is about its rank procedure. It works for every kind of ranks, i.e., unique ranks, percentage ranks, tied ranks, missing ranks etc. 128 pp. Englisch. N° de réf. du vendeur 9783639668858
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Siddiqui Faisal AfzalProf. Dr. Faisal Afzal Siddiqui, Ph.D in Statistics, University of Karachi, His interests are: computational, graphical, non-parametric, and applied statistics multivariate analysis, econometrics, educational an. N° de réf. du vendeur 385759873
Quantité disponible : Plus de 20 disponibles
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 128. N° de réf. du vendeur 26375865963
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 128. N° de réf. du vendeur 370212276
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 128. N° de réf. du vendeur 18375865953
Quantité disponible : 4 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Conjoint Analysis is one of the most recent popular statistical techniques, which is being used in every kind of field to find the relative importance of preferences. Conjoint analysis engages the measurement of psychological judgments (consumer preferences, or accept abilities) or perceived similarities or differences between choice alternatives. Each problem of finding the preferences could be identified and solved by using the conjoint analysis methodology. Random Utility Model explains that the decision maker has a perfect discrimination capability. In this context if analyst has not the complete information then the uncertainty always be in the decisions. Faisal Conjoint Model (FCM) is a the integrated model of conjoint analysis and random utility models. Its design is independent of design structure. It could be used for any research design, i.e., full profile, orthogonal, factorial, supersaturated, etc. Another important point about FCM is about its rank procedure. It works for every kind of ranks, i.e., unique ranks, percentage ranks, tied ranks, missing ranks etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. N° de réf. du vendeur 9783639668858
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Conjoint Analysis in R | Faisal Afzal Siddiqui | Taschenbuch | 128 S. | Englisch | 2018 | Scholars' Press | EAN 9783639668858 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 114834589
Quantité disponible : 5 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Conjoint Analysis is one of the most recent popular statistical techniques, which is being used in every kind of field to find the relative importance of preferences. Conjoint analysis engages the measurement of psychological judgments (consumer preferences, or accept abilities) or perceived similarities or differences between choice alternatives. Each problem of finding the preferences could be identified and solved by using the conjoint analysis methodology. Random Utility Model explains that the decision maker has a perfect discrimination capability. In this context if analyst has not the complete information then the uncertainty always be in the decisions. Faisal Conjoint Model (FCM) is a the integrated model of conjoint analysis and random utility models. Its design is independent of design structure. It could be used for any research design, i.e., full profile, orthogonal, factorial, supersaturated, etc. Another important point about FCM is about its rank procedure. It works for every kind of ranks, i.e., unique ranks, percentage ranks, tied ranks, missing ranks etc. N° de réf. du vendeur 9783639668858
Quantité disponible : 1 disponible(s)