Introduction to Probability, Statistics, and Random Processes - Info and Reading Options
Statistics and Random Processes
By Hossein Pishro-Nik
"Introduction to Probability, Statistics, and Random Processes" was published by Kappa Research, LLC in 2014 - Blue Bell, PA], the book is classified in Probabilities genre, it has 732 pages and the language of the book is English.
“Introduction to Probability, Statistics, and Random Processes” Metadata:
- Title: ➤ Introduction to Probability, Statistics, and Random Processes
- Author: Hossein Pishro-Nik
- Language: English
- Number of Pages: 732
- Is Family Friendly: Yes - No Mature Content
- Publisher: Kappa Research, LLC
- Publish Date: 2014
- Publish Location: Blue Bell, PA]
- Genres: Probabilities
“Introduction to Probability, Statistics, and Random Processes” Subjects and Themes:
- Subjects: Probabilities - Stochastic processes - Statistics
Edition Specifications:
- Pagination: ix, 732 pages
Edition Identifiers:
- Google Books ID: 3yq_oQEACAAJ
- The Open Library ID: OL30403034M - OL22323257W
- Library of Congress Control Number (LCCN): 2015295671
- ISBN-13: 9780990637202
- ISBN-10: 0990637204
- All ISBNs: 9780990637202 - 0990637204
AI-generated Review of “Introduction to Probability, Statistics, and Random Processes”:
Snippets and Summary:
The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, ...
"Introduction to Probability, Statistics, and Random Processes" Description:
Google Books:
The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.
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