When it comes to choosing your probability random, there are hundreds of different choices. In our review, weve considered all the various features youll need to know before buying the best probability random. We hope that through this article, with our comparison table, in-detail review of each product can help you decide which one is your best probability random.
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1. Student's Solutions Guide for Introduction to Probability, Statistics, and Random Processes
Description
Since the 2014 publication of Introduction to Probability, Statistics, and Random Processes, many have requested the distribution of solutions to the problems in the textbook. This book contains guided solutions to the odd-numbered end-of-chapter problems found in the companion textbook. Student's Solutions Guide for Introduction to Probability, Statistics, and Random Processes has been published to help students better understand the subject and learn the necessary techniques to solve the problems.
Additional materials such as videos, lectures, and calculators are available at www.probabilitycourse.com.
2. Probability, Random Variables and Stochastic Processes
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Used Book in Good ConditionDescription
The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.3. Introduction to Probability, Statistics, and Random Processes
Description
This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.
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 (online chapters)
The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applicationssuch as engineering, finance, everyday life, etc.are included to aid in motivating the subject. The digital version of the book, as well as additional materials such as videos, is available at www.probabilitycourse.com.
4. Probability and Random Processes
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Oxford University Press USADescription
This book gives an introduction to probability and its many practical application by providing a thorough, entertaining account of basic probability and important random processes, covering a range of important topics. Emphasis is on modelling rather than abstraction and there are new sections on sampling and Markov chain Monte Carlo, renewal-reward, queueing networks, stochastic calculus, and option pricing in the Black-Scholes model for financial markets. In addition, there are almost 400 exercises and problems relevant to the material. Solutions can be found in One Thousand Exercises in Probability.5. Probability and Random Processes for Electrical and Computer Engineers
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Cambridge University PressDescription
The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students. Further resources for this title, including solutions (for instructors only), are available online at www.cambridge.org/9780521864701.6. Intuitive Probability and Random Processes using MATLAB
Description
Intuitive Probability and Random Processes using MATLAB is an introduction to probability and random processes that merges theory with practice. Based on the authors 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 do we have to study this?" Other salient features are:
*heavy reliance on computer simulation for illustration and student exercises
*the incorporation of MATLAB programs and code segments
*discussion of discrete random variables followed by continuous random variables to minimize confusion
*summary sections at the beginning of each chapter
*in-line equation explanations
*warnings on common errors and pitfalls
*over 750 problems designed to help the reader assimilate and extend the concepts
Intuitive Probability and Random Processes using MATLAB is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book.
About the Author
Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.
7. Schaum's Outline of Probability, Random Variables, and Random Processes, 3rd Edition (Schaum's Outlines)
Feature
McGraw-HillDescription
Tough Test Questions? Missed Lectures? Not Enough Time?
Fortunately, there's Schaum's. This all-in-one-package includes more than 400 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring instructors who explain the most commonly tested problems--it's just like having your own virtual tutor! You'll find everything you need to build confidence, skills, and knowledge for the highest score possible.
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
- 405 fully solved problems
- Clear, concise explanations of all probability, variables, and processes concepts
- Support for all the major textbooks in the subject areas
Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaums to shorten your study time--and get your best test scores!
Schaum's Outlines--Problem Solved.
8. A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)
Feature
Used Book in Good ConditionDescription
Suitable for self studyUse real examples and real data sets that will be familiar to the audience
Introduction to the bootstrap is included this is a modern method missing in many other books
9. Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition (Schaum's Outlines)
Description
10. Random Processes with Applications to Circuits and Communications
Description
This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate todays circuits students needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed.
- Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems;
- Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering;
- Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter;
- Develops and reinforces students modeling skills, with inclusion of modeling problems in every chapter;
- Solutions for instructors included.
