Undergraduate Certificate in Statistical Modelling for Agricultural Exports

• Introduction to Statistical Modeling: Descriptive statistics, probability distributions, and data exploration.
• Regression Analysis: Simple and multiple linear regression, model selection, diagnostics, and interpretation.
• Analysis of Variance (ANOVA): One-way and two-way ANOVA, factorial designs, and randomized complete block designs.
• Experimental Design: Completely randomized designs, randomized block designs, and factorial experiments.
• Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
• Multivariate Analysis: Principal component analysis, factor analysis, and multiple correspondence analysis.
• Generalized Linear Models: Logistic regression, Poisson regression, and other GLMs.
• Survival Analysis: Kaplan-Meier survival functions, Cox proportional hazards models, and applications.
• Spatial Data Analysis: Point patterns, geostatistics, and spatial regression models.
• Statistical Modeling for Agricultural Exports: Export demand analysis, forecasting, and risk assessment.