Multi variate techniques:
Multiple regression analysis:
- What is difference b/n multiple regression and multivariate regression
- How to select inde variables in to the system?
- What are the measures of efficiency?
- What is the specific proc in SAS
- Assumptions underlying and the consequences of their violations.
- Estimation techniques, adv and dis adv
Logistic regression analysis:
- Difference b/n logistic and traditional regression
- Assumptions if any?
- Estimation method?
- Efficiency measures?
- Which domain having major applications
- Odds ratio implementation
- Tests of goodness of fit
Descriminant analysis:
- What is the aim of descriminant analysis
- Methods of constructing descriminant functions
- Fisher discriminant function
- Issue of multi collinearity here
- What is cluster descriminant
- Domain applications
MANOVA:
- Tests of MANOVA
- Structure of model in manova
- Assumptions of MANOVA
- How to use and read in SAS environment
- Difference b/n manova and multiple regression
- PROC MANOVA
Factor analysis:
- What is the difference between PC and PAF (Principle factor analysis?)
- What is a Simple or Clean Factor Structure?
- Types of factor analysis
- Applications in manufacturing
- PROC PRINCOMP, how to improve the performance
- Type of conclusions in FA
Multi dimensional scaling:
- Types of multi dimensional scaling
- How to decide on what dimensions respondents use when evaluating objects
- how many dimensions they may use in a particular situation
- test for the relative importance of each dimension
- how the objects are related perceptually
Correspondence analysis:
- How to use it in market research?
- How to read the parameters?
- Any significant tests
- How to apply in SAS
Conjoint analysis:
- Advantages in market research
- Types of conjoint analysis
- Relation with regression and logistic regression
- Latest developments
- Steps in the design of the studies
Cluster analysis:
- Why it comes under multivariate techniques
- How to choose the variables for the clustering
- What are the types of clustering?
- Measures for efficiency of clustering
- Reports based on clustering
Canonical correlation:
- Why it is important than usual correlation
- What is the complexity involved here
- Application area
Structural equation modeling:
- Why it is so significant
- Applications in SAS
- How to interpret the results
