Introduction to Applied Probability

Paul E. Pfeiffer, David A. Schum

• Publisher: Academic Press
• Year: 2014
• Print ISBN: 9780125531504
• eBook ISBN: 9781483277202
• Topic: Mathematics
• Subtopic: Applied Mathematics
• Index: Mathematics

Introduction to Applied Probability provides a basis for an intelligent application of probability ideas to a wide variety of phenomena for which it is suitable. It is intended as a tool for learning and seeks to point out and emphasize significant facts and interpretations which are frequently overlooked or confused by the beginner. The book covers more than enough material for a one semester course, enhancing the value of the book as a reference for the student. Notable features of the book are: the systematic handling of combinations of events (Section 3-5); extensive use of the mass concept as an aid to visualization; an unusually careful treatment of conditional probability, independence, and conditional independence (Section 6-4); the resulting clarification facilitates the formulation of many applied problems; the emphasis on events determined by random variables, which gives unity and clarity to many topics important for interpretation; and the utilization of the indicator function, both as a tool for dealing with events and as a notational device in the handling of random variables. Students of mathematics, engineering, biological and physical sciences will find the text highly useful.

Table of contents

• Front Cover
• Introduction to Applied Probability
• Copyright Page
• Table of Contents
• Preface
• Acknowledgments
• Part I. INTRODUCTION
• PART II . BASIC PROBABILITY MODEL
• PART III . RANDOM VARIABLES
• PART IV. MATHEMATICAL EXPECTATION
• PART V. SEQUENCES OF RANDOM VARIABLES