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1. Multivariate Statistical Analysis (PCA, FA, Discriminant and Cluster analysis, Multidimensional scaling etc).
2. Design and analysis of field experiments (ANOVA, ANCOVA, BIBD, etc.)              
3. Statistical Modeling (Linear and nonlinear growth models).
4. Regression Analysis (OLS, GLS, Diagnostics,  etc).
5. Statistical Genetics (Stability analysis, Path analysis, Diallel cross, Line x Tester, etc.)
6. Econometric methods (Forecasting time series data, ARIMA etc.)
7. Sampling Techniques (SRSWR/WOR, Stratified, Systematic, Cluster, Multistage, Multiphase sampling).

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