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Applied Statistics

Applied Statistics Clustering Econometrics Adv. Econometrics Operations' Res. Multi-Variate Time Series Agriculture Veterinary Industrial	Experimental Designs   C. R. D. with unequal subclasses with LSD comparisons and non–parametric Kruskal-Wallis / Friedman ANOVA One Way ANOVA: RBD and CRD. designs( Further sub-division of factors.) Two Way ANOVA: Nested, Split Plot, Factorial RBD and Two Factorials. Three Way ANOVA: Nested, Split Split, Split Factorial, Factorial Split and Three Factorials Standard Features: Bartlett's, Tukey's & F max. range tests for homogeneity of Variances Histogram Generation for factor means with interactions. Contrasts between different groups / Residual plotting for diagnostics
Curve Fitting   Least Square, Log, Exponential, Power, 1/x, 1/y, Parabola, Cubic, Logistic Gompertz, Log- logistic, Probit, Spline, piece-wise regression, Chow - Test Graphics with derived equation, r and Standard Error, Confidence intervals, Ellipsoids, plotting of Multiple Curves with mean vector, residuals, drug-kinetics etc., with further option of X and Y axis transformations Multiple Regression   Graphical Correlation plot, Spearman, Kendall’s and Pearson correlation matrix with significance levels. Upto 750 Xi + Yi variables can be analysed (Multiple Yi can be simultaneously evaluated). Quadratic Regression upto 375 Xi + Yi variables. Multiple Group Discriminant function between two or more groups. r matrix, Var. – Covar matrix, Individual Regressors, Mean, S. D., S. E. of variables with R², R²adj., with F ratio, ßeta, S. E. and t value of Xi variables. Drops/Selects sequentially least/most multi-collinear / contributing variables with Step-down / step-wise procedure Priority variables can be defined, which shall not be deleted from model / must be included Displays Durbin Watson statistics, Runs Test,c² tests and plots stadardised Residuals et vs. et-1 and et vs. Time t
General Statistics   t Test, F test, Paired t Test for testing of difference between 2 means with non parametric tests and graphics. Truncated / Windsorized Mean and Jack Knife estimates of Standard Deviation. t, F, c² and Normal Distribution Tables and Probabilities. Binomial, negative Binomial, Geometric, Hyper-geometric and Poisson Freq. distributions. Estimates of Mean, Variance and Standard Deviation. Tests for Binomial populations. Half Normal Plot, Histogram, Box-plot with groups, Scatter plot, Q-Q Plot, Kolmogorov Smirnov test etc. for normality testing. c test one way, m * n contingency tables with Fishers’ exact test, McNamara and Kohen’s Kappa test etc. Percentile, Median and Mode of un-grouped data. Brown and Forsythe tests.