Applied Probability and Statistics

This book moves systematically through the topic of applied probability from an introductory chapter to random variables and vectors, stochastic processes, estimation, testing and regression and more. Includes solved and unsolved problems, review questions, and historical notes on the mathematicians mentioned throughout.

This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

Covers probability and statistics in equal depth and will fit perfectly into applied math, EE, and CS undergraduate curricula Specifically geared toward a one semester course Enriched by a wealth of historical notes, real-life exercises and solutions test-driven in the author's class Request lecturer material: sn.pub/lecturer-material

Autorentext

Inhalt
Introduction.- Elementary Probabilities.- Random Variables.- Random Vectors.- Stochastic Processes.- Estimation and Testing.- Simple Linear Regression.- Appendices: Mathematical Formulas.- Quantiles Sampling Distributions.- Classification of the Exercises.- Answers Multiple Choice Questions.- Answers to Selected Exercises.