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R and Excel for statistical analysis ,statistical methodology ,Measuring and Describing Variables ,Probability and Distributions of Random Variables ,Confidence Intervals and Hypothesis Testing
Null and Alternative Hypotheses, Permutations and Combinations, Poisson Distributions, P-Values Regression Analysis, Sample Bias and Distribution, SPSS, Statistical Graphs, Stochastic Processes and Modeling, Student T-Distribution, T-Tests, Uniform Distributions, Z-Scores, Applied probability, Resampling methods.
Descriptive statistical techniques, regression, design of sample surveys and experiments, basic probability, statistical inference ,
Interpretation of results of statistical procedures in addition to problem solving ,data analysis,Minitab ,statistical computing
Null hypothesis test, z-test, t-test, chi-squared test, fractional factorials, fractional blocking, aliasing, orthogonal arrays, industrial split-plot designs, Response-surface method, Sequential Monte Carlo, Non-Gaussian Models .
Time Series, Model Selection and Logistic Regression, Market Model, Bayesian Inference, Dynamic Linear Models, Dynamic Regression Models, Posterior Simulation and AR model Stochastic Volatility Models, Markov-Switching Models, Latent Variable Models, FFBS.
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Risk Modelling, Derivatives Modelling , Mathematical Programming Algorithms, EViews ,LISREL boxplot,Non-Gaussian Models .
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