A Constrained Clusterwise Regression Procedure for Benefit Segmentation

1998 ◽  
pp. 676-683
Author(s):  
Daniel Baier
Keyword(s):  
Clusterwise Regression ◽  
Regression Procedure ◽  
Benefit Segmentation

A fuzzy clusterwise regression approach to benefit segmentation

1989 ◽  
Vol 6 (4) ◽  
pp. 241-258 ◽  
Author(s):  
Michel Wedel ◽  
Jan-Benedict E.M. Steenkamp
Keyword(s):  
Clusterwise Regression ◽  
Benefit Segmentation ◽  
Regression Approach

A Clusterwise Regression Method for Simultaneous Fuzzy Market Structuring and Benefit Segmentation

1991 ◽  
Vol 28 (4) ◽  
pp. 385-396 ◽  
Author(s):  
Michel Wedel ◽  
Jan-Benedict E. M. Steenkamp
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Study ◽  
Regression Method ◽  
Number Of Clusters ◽  
Preference Analysis ◽  
Clusterwise Regression ◽  
Benefit Segmentation ◽  
Degree Of Membership ◽  
The Cross

A generalized algorithm for fuzzy clusterwise regression (GFCR) is proposed that incorporates both benefit segmentation and market structuring within the framework of preference analysis. The method simultaneously estimates the models relating preferences to product dimensions within each of a number of clusters, and the degree of membership of brands and of subjects in those clusters. The performance of GFCR is assessed in a Monté Carlo study. An application to data on preferences for brands of margarine and butter is reported, the cross-validity of GFCR is assessed, and it is compared empirically with Kamakura's method. Managerial and research implications are discussed.

Benefit Segmentation

2015 ◽  
pp. 1-1
Author(s):  
Vincent-Wayne Mitchell
Keyword(s):  
Benefit Segmentation

Benefit Segmentation

1984 ◽  
Vol 2 (1) ◽  
pp. 115-127
Author(s):  
George Miaoulis ◽  
Robert Corson
Keyword(s):  
Benefit Segmentation

Offshore responses using an efficient time simulation regression procedure

2019 ◽  
pp. 12-22
Author(s):  
S.Z.A. Syed Ahmad ◽  
M.K. Abu Husain ◽  
N.I. Mohd Zaki ◽  
M.H. Mohd ◽  
G. Najafian
Keyword(s):  
Regression Procedure ◽  
Time Simulation

scholarly journals Archery by the Apaches – implications of using the bow and arrow in hunter-gatherer communities

2016 ◽  
Vol 43 ◽  
pp. 515-525
Author(s):  
Žiga Šmit
Keyword(s):  
Native American ◽  
Model Calculation ◽  
Air Drag ◽  
Old World ◽  
Regression Procedure ◽  
Flat Part ◽  
Bow And Arrow ◽  
Medium Strength ◽  
Close Range ◽  
Ballistic Trajectory

This review focuses on the technical and social details of production, training, and use of archery equipment by a Native American tribe, the Apaches. The study aims to understand the use of the bow in the Mesolithic and Early and Middle Neolithic societies of the Old World. The paper further describes arrow ballistics. An arrow and bow with similar dimensions and materials to those used by the Apaches was reconstructed and used in ballistic experiments. Shooting and the subsequent model calculation showed that the effective range of arrows made of reed and projected by a bow of medium strength (16–18kg) was not more than approx. 20m. Due to the initial flat part of the ballistic trajectory, such arrows were quite efficient in close-range contests. Within the model calculation, a regression procedure was introduced to determine the arrow air-drag parameters from an ensemble of shots.

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