Fundamentals of Applied Probability and Random Processes

The long-awaited revision of Fundamentals of Applied Probability and Random Processes 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 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. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

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  • Author : Oliver Ibe
  • Publisher : Academic Press
  • Pages : 456 pages
  • ISBN : 0128010355
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKFundamentals of Applied Probability and Random Processes

Fundamentals of Applied Probability and Random Processes

Fundamentals of Applied Probability and Random Processes
  • Author : Oliver Ibe
  • Publisher : Academic Press
  • Release : 13 June 2014
GET THIS BOOKFundamentals of Applied Probability and Random Processes

The long-awaited revision of Fundamentals of Applied Probability and Random Processes 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 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

Fundamentals of Applied Probability and Random Processes

Fundamentals of Applied Probability and Random Processes
  • Author : Oliver Ibe
  • Publisher : Elsevier
  • Release : 19 October 2005
GET THIS BOOKFundamentals of Applied Probability and Random Processes

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

Fundamentals of Probability

Fundamentals of Probability
  • Author : Saeed Ghahramani
  • Publisher : CRC Press
  • Release : 05 September 2018
GET THIS BOOKFundamentals of Probability

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it has sufficient material for a sequel course introducing stochastic processes and stochastic simulation." --Nawaf Bou-Rabee, Associate Professor of Mathematics, Rutgers University Camden, USA "This book is an excellent primer on probability, with

Probability, Random Processes, and Statistical Analysis

Probability, Random Processes, and Statistical Analysis
  • Author : Hisashi Kobayashi,Brian L. Mark,William Turin
  • Publisher : Cambridge University Press
  • Release : 15 December 2011
GET THIS BOOKProbability, Random Processes, and Statistical Analysis

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and

Probability, Random Variables, Statistics, and Random Processes

Probability, Random Variables, Statistics, and Random Processes
  • Author : Ali Grami
  • Publisher : John Wiley & Sons
  • Release : 04 March 2019
GET THIS BOOKProbability, Random Variables, Statistics, and Random Processes

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 extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With

Fundamentals of Probability and Stochastic Processes with Applications to Communications

Fundamentals of Probability and Stochastic Processes with Applications to Communications
  • Author : Kun Il Park
  • Publisher : Springer
  • Release : 24 November 2017
GET THIS BOOKFundamentals of Probability and Stochastic Processes with Applications to Communications

This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes

Fundamentals of Probability and Statistics for Engineers

Fundamentals of Probability and Statistics for Engineers
  • Author : T. T. Soong
  • Publisher : John Wiley and Sons
  • Release : 26 March 2004
GET THIS BOOKFundamentals of Probability and Statistics for Engineers

This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (

Random Phenomena

Random Phenomena
  • Author : Babatunde A. Ogunnaike
  • Publisher : CRC Press
  • Release : 20 May 2011
GET THIS BOOKRandom Phenomena

Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides students with a working knowledge of how to solve engineering problems that involve randomly varying phenomena. Basing his approach on the principle of theoretical foundations

Probability, Statistics, and Stochastic Processes

Probability, Statistics, and Stochastic Processes
  • Author : Peter Olofsson,Mikael Andersson
  • Publisher : John Wiley & Sons
  • Release : 22 May 2012
GET THIS BOOKProbability, Statistics, and Stochastic Processes

Praise for the First Edition ". . . an excellent textbook . . . well organized and neatly written." —Mathematical Reviews ". . . amazingly interesting . . ." —Technometrics Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields. Beginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors

Probability and Random Processes

Probability and Random Processes
  • Author : Geoffrey Grimmett,Geoffrey R. Grimmett,David Stirzaker,Professor of Mathematical Statistics Geoffrey Grimmett,Mathematical Institute David R Stirzaker
  • Publisher : Oxford University Press
  • Release : 31 May 2001
GET THIS BOOKProbability and Random Processes

This textbook provides a wide-ranging and entertaining indroduction to probability and random processes and many of their practical applications. It includes many exercises and problems with solutions.

Probability and Stochastic Processes

Probability and Stochastic Processes
  • Author : Ionut Florescu
  • Publisher : John Wiley & Sons
  • Release : 27 October 2014
GET THIS BOOKProbability and Stochastic Processes

A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applications With a sophisticated approach, "Probability and Stochastic Processes" successfully balances theory and applications in a pedagogical and accessible format. The book's primary focus is on key theoretical notions in probability to provide a foundation for understanding concepts and examples related to stochastic processes. Organized into two main sections, the book begins by developing probability theory with topical coverage on probability measure;

Intuitive Probability and Random Processes using MATLAB®

Intuitive Probability and Random Processes using MATLAB®
  • Author : Steven Kay
  • Publisher : Springer Science & Business Media
  • Release : 20 March 2006
GET THIS BOOKIntuitive Probability and Random Processes using MATLAB®

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why

Fundamentals of Probability: A First Course

Fundamentals of Probability: A First Course
  • Author : Anirban DasGupta
  • Publisher : Springer Science & Business Media
  • Release : 02 April 2010
GET THIS BOOKFundamentals of Probability: A First Course

Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?