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Fundamentals Of Applied Probability And Random Processes

Author: Oliver Ibe
Publisher: Academic Press
ISBN: 0128010355
Size: 27.73 MB
Format: PDF
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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).

Probability Random Variables Statistics And Random Processes

Author: Ali Grami
Publisher: John Wiley & Sons
ISBN: 1119300827
Size: 34.21 MB
Format: PDF, Kindle
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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 a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 – 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 – 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 – 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 – 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebra With its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supported A supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science.

Schaum S Outline Of Probability Random Variables And Random Processes

Author: Hwei Hsu
Publisher: McGraw Hill Professional
ISBN: 9780071368100
Size: 58.66 MB
Format: PDF, Kindle
View: 5445
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Confusing Textbooks? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you Practice problems with full explanations that reinforce knowledge Coverage of the most up-to-date developments in your course field In-depth review of practices and applications Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! Schaum's Outlines-Problem Solved.

Fundamentals Of Probability And Statistics For Engineers

Author: T. T. Soong
Publisher: John Wiley and Sons
ISBN: 9780470868133
Size: 61.11 MB
Format: PDF, ePub, Mobi
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This title 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 and the process ofmodel selection.

Introduction To Probability And Random Processes

Author: Jorge Auñón
Publisher: McGraw-Hill College
ISBN: 9780070015630
Size: 14.61 MB
Format: PDF, ePub, Mobi
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Introduce your junior-level electrical engineering students to probability theory through the use of real data. Rather than offering purely hypothetical cases, Introduction to Probability and Random Processes employs real data and examples to illustrate concepts. Traditional pencil-and-paper exercises, as well as the opportunity to use MATLAB and MathCad, provide diverse problem-solving opportunities.

Probability And Stochastic Processes

Author: Roy D. Yates
Publisher: Wiley
ISBN:
Size: 65.52 MB
Format: PDF
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This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems. Key Features: The text follows a single model that begins with an experiment consisting of a procedure and observations. The mathematics of discrete random variables appears separately from the mathematics of continuous random variables. Stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables. Subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts. An abundance of exercises are provided that help students learn how to put the theory to use.

Probability And Random Processes For Electrical Engineers

Author: Yannis Viniotis
Publisher: McGraw-Hill Companies
ISBN: 9780070674912
Size: 37.95 MB
Format: PDF, Kindle
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This book introduces the fundamentals of probability theory and random processes by demonstrating its application to real-world engineering problems. It connects theory and practice through an emphasis on mathematical modeling and promotes a hands-on approach to the subject. At every step of theoretical development, the student is invited to challenge the theory by asking "what-if" questions. Specially written Matlab programs, which are available at the text's Web site, encourage real data experimentation and facilitate the visual modeling of difficult probabilistic concepts. The modeling tools are clearly identified in every chapter and are accompanied by discussions of the applicability, power, and limitations of each tool. It is ideally suited for advanced undergraduates and graduate students in electrical and computer engineering.

Schaum S Outline Of Theory And Problems Of Probability Random Variables And Random Processes

Author: Hwei Piao Hsu
Publisher: Schaum's Outline Series
ISBN: 9780070306448
Size: 14.87 MB
Format: PDF, ePub
View: 7238
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Designed for students in various disciplines of engineering, science, mathematics, management and business, this effective study tool includes hundreds of problems with step-by-step solutions and another 150 problems with hints or delayed answers. The solved problems illustrate and strongly reinforce vital theory and techniques. Topics taught include functions of random variables; expectation and limit theorems; and estimation theory, decision theory and queuing theory.

Fundamentals Of Probability And Stochastic Processes With Applications To Communications

Author: Kun Il Park
Publisher: Springer
ISBN: 3319680757
Size: 12.42 MB
Format: PDF, ePub, Mobi
View: 4252
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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 that are specifically important for communications networks and systems, this book serves his/her need.