| Biostatistics
Basic issues of probabilities. Special forms of one-dimensional probability density functions (Poisson, exponential, normal, Weibul). Hypothesis and significance testing in one-dimensional distributions. Confidence Intervals. Bayes Estimation. Analysis of Variance. Regression Analysis. Multivariate normal distribution. Multivariate Analysis of Variance and Hypothesis Testing. Covariance matrices. Fisher and Bayes Discriminant Functions. Multivariate Regression, Logarithmic Regression. Non-parametric Hypothesis Testing and Non-parametric Classifiers. Principal Component and Independent Component Analysis. Analysis and Estimation of Survival Data.
[Previous page]
|
