Fundamentals of Applied Probability and Random Processes
โ Scribed by Oliver Ibe
- Year
- 2005
- Tongue
- English
- Leaves
- 461
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. * Good and solid introduction to probability theory and stochastic processes * Logically organized; writing is presented in a clear manner * Choice of topics is comprehensive within the area of probability * Ample homework problems are organized into chapter sections
๐ SIMILAR VOLUMES
<p>The long-awaited revision of <i>Fundamentals of Applied Probability and Random Processes</i> expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the sol
<p>The long-awaited revision of <i>Fundamentals of Applied Probability and Random Processes</i> expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the sol
Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensi
Basic concepts of probability theory -- Applications in probability -- Counting methods and applications -- One random variable : fundamentals -- Special probability distributions and applications -- Multiple random variables -- The Gaussian distribution -- Descriptive statistics -- Estimation -- Hy
<p><i>Probability, Random Variables, and Random Processes</i> is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some famil