Table of Contents:
  • Introduction
  • Probability basics
  • Statistics basics
  • Bayesian statistics
  • Order statistics
  • Goodness of fit
  • Rank tests
  • Designed experiments
  • Categorical data
  • Estimating distribution functions
  • Density estimation
  • Beyond linear regression
  • Curve fitting techniques
  • Wavelets
  • Bootstrap
  • Em algorithm
  • Statistical learning
  • Introduction
  • Probability basics
  • Statistics basics
  • Bayesian statistics
  • Order statistics
  • Goodness of fit
  • Rank tests
  • Designed experiments
  • Categorical data
  • Estimating distribution functions
  • Density estimation
  • Beyond linear regression
  • Curve fitting techniques
  • Wavelets
  • Bootstrap
  • Em algorithm
  • Statistical learning
  • Introduction
  • Probability basics
  • Statistics basics
  • Bayesian statistics
  • Order statistics
  • Goodness of fit
  • Rank tests
  • Designed experiments
  • Categorical data
  • Estimating distribution functions
  • Density estimation
  • Beyond linear regression
  • Curve fitting techniques
  • Wavelets
  • Bootstrap
  • EM algorithm
  • Statistical learning
  • Nonparametric bayes
  • MATLAB