Fundamentals of Probability and Statistics for Engineers

This chapter discusses Random Variables, Linear Models and Linear Regression, and Statistical Inference, Parameter Estimation, and Model Verification, as well as some important Discrete Distributions.

Abstract

This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true "learner's book" made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for ins