Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Mathematical Methods for Statistics: Home

Course Outline

  • Review of Matrices and Vectors
  • Matrix Differentiation
  • Eigenvalues 
  • Eigenvectors and their Properties 
  • Positive definite matrix
  • Semi positive definite matrix 
  • Introduction to quadratic forms 
  • Maximization of Quadratic Forms 
  • Variance-Covariance matrix
  • Partitioned Matrices 
  • Rank of Matrix
  • Gamma and Beta functions with their applications 
  • Line integrals
  • transformation of coordinates (Cartesian & Polar) 
  • Change of variables in multiple integrals
  • Extrema of functions of two variables
  • Orthogonal polynomials
  • Complex exponential
  • Fourier series and Fourier Transforms
  • Laplace Transforms and their  applications 
  • Geometrical interpretation of multiple integrals

Level

Text Books

E-Books (Full Text)

Assistant Manager

Any Query