Intended for a senior/graduate level course in probability, this title is useful for students in electrical engineering, math, and physics departments. It aims to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the t…
Angular data and frequency distributions; Descriptive measures; Basic concepts and theoretical models; Fundamental theorems and distributions theory; Point estimation; Tests for samples from von Mises populations; Nonparametric test; Distribution on spheres; Inference problems o…
Foundations of stochastic analysis
by Rao, M. M.
fromProbability and mathematical statistics
Introduction and generalities; Conditional expectations and probabilities; Projective and direct limits; Martingales and likelihood ratios; Abstract martingales and applications.
The ideas of sampling
by Stuart, A.
fromGriffin's statistical monographs and courses series
The need for a theory of sampling; Selection bias: the classroom example; Simple random sampling; The sampling distribution of an estimator; Unbiased estimation; Sampling variance; Sample size and sampling fraction; Example of increasing sample size; Estimation of sampling varia…