Probability and Random Variables

G P Beaumont (Author)

9781904275190, Elsevier Science

Paperback / softback, published 15 March 2005

344 pages
23.3 x 15.6 x 2.2 cm, 0.49 kg

This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple.

Probability
Conditional probability and independence
Random variables
Continuous distributions
Distribution function
Functions of random variables
Bivariate distributions
Expectation of a random variable
Variance of a random variable
Moment generating functions
Moments of bivariate distributions
Probability generating functions
Sums of random variables
Unbiased estimators
Sampling finite populations
Generating random variables.

Subject Areas: Stochastics [PBWL]