Conjoint analysis, Advanced Statistics

Conjoint analysis: The method used basically in market research which is similar in many respects to the various dimensional scaling. The method attempts to assign values to the levels of each attribute, so that the resulting values are attached to the stimuli match, as much closely as possible, the input evaluations given by the respondents.

Posted Date: 7/27/2012 12:56:32 AM | Location : United States







Related Discussions:- Conjoint analysis, Assignment Help, Ask Question on Conjoint analysis, Get Answer, Expert's Help, Conjoint analysis Discussions

Write discussion on Conjoint analysis
Your posts are moderated
Related Questions
Reliability theory is the theory which attempts to determine the reliability of the complex system from knowledge of the reliabilities of the components. Interest might centre on

Nested design  is the design in which levels of one or more factors are subsampled within one or more other factors such that, for instance, each level of a factor B happens at onl

I do have a data of real gdp for each state and from 2000 to 2010 and I also have estimated population of illigel immigrants for each state from 2000 to 2010. In my thesis I am try

Johnson-Neyman technique:  The technique which can be used in the situations where analysis of the covariance is not valid because of the heterogeneity of slopes. With this method

Independent component analysis (ICA) is the technique for analyzing the complex measured quantities thought to be mixtures of other more fundamental quantities, into their fundamen

The Null Hypothesis - H0: There is no first order autocorrelation The Alternative Hypothesis - H1: There is first order autocorrelation Durbin-Watson statistic = 1.98307

Lorenz curve : Essentially the graphical representation of cumulative distribution of the variable, most often used for the income. If the risks of disease are not monotonically in

High-dimensional data : This term used for data sets which are characterized by the very large number of variables and a much more modest number of the observations. In the 21 st

Multi co linearity is the term used in the regression analysis to indicate situations where the explanatory variables are related by a linear function, making the inference of the

Chains of infection : The description of the course of infection among the group of individuals. The susceptibles infected by the direct contact with the introductory cases are sai