Some Probability and Stochastic Convergence Fundamentals
2012
This chapter contains sections titled: Notations and Definitions The Covariance Matrix of a Function of a Random Variable Sample Variables Mixing Random Variables Preliminary Example Definitions of Stochastic Limits Interrelations between Stochastic Limits Properties of Stochastic Limits Laws of Large Numbers Central Limit Theorems Properties of Estimators Cram��r-Rao Lower Bound How to Prove Asymptotic Properties of Estimators? Pitfalls Preliminary Example��-��Continued Properties of the Noise after a Discrete Fourier Transform Exercises Appendixes