Introduction to Probability Theory Introduction Any realistic model of a real-world phenomenon must take into account the possibility of randomness. That is, more often than not, the quantities we are interested in will not be predictable in advance but, rather, will exhibit an inherent variation th
Introduction to probability theory
β Scribed by Paul G. Hoel, Sidney C. Port, Charles J. Stone
- Book ID
- 127456077
- Publisher
- Houghton Mifflin
- Year
- 1971
- Tongue
- English
- Weight
- 2 MB
- Series
- The Houghton-Mifflin series in statistics
- Edition
- 1
- Category
- Library
- City
- Boston
- ISBN
- 039504636X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This classic text and reference introduces probability theory for both advanced undergraduate students of statistics and scientists in related fields, drawing on real applications in the physical and biological sciences.
Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing eng
In this introduction to probability theory, we deviate from the route usually taken. We do not take the axioms of probability as our starting point, but re-discover these along the way. First, we discuss discrete probability, with only probability mass functions on countable spaces at our disposal.
Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem.