Introduction To Probability Statistics And Random Processes
Download Introduction To Probability Statistics And Random Processes full books in PDF, epub, and Kindle. Read online free Introduction To Probability Statistics And Random Processes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Introduction to Probability Statistics and Random Processes
Author | : Hossein Pishro-Nik |
Publsiher | : Unknown |
Total Pages | : 746 |
Release | : 2014-08-15 |
Genre | : Probabilities |
ISBN | : 0990637204 |
Download Introduction to Probability Statistics and Random Processes Book in PDF, Epub and Kindle
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.
A Modern Introduction to Probability and Statistics
Author | : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester |
Publsiher | : Springer Science & Business Media |
Total Pages | : 488 |
Release | : 2006-03-30 |
Genre | : Mathematics |
ISBN | : 9781846281686 |
Download A Modern Introduction to Probability and Statistics Book in PDF, Epub and Kindle
Suitable for self study Use 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
Introduction to Probability and Stochastic Processes with Applications
Author | : Liliana Blanco Castañeda,Viswanathan Arunachalam,Selvamuthu Dharmaraja |
Publsiher | : John Wiley & Sons |
Total Pages | : 741 |
Release | : 2014-08-21 |
Genre | : Mathematics |
ISBN | : 9781118344965 |
Download Introduction to Probability and Stochastic Processes with Applications Book in PDF, Epub and Kindle
An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their careers. With an emphasis on applications in engineering, applied sciences, business and finance, statistics, mathematics, and operations research, the book features numerous real-world examples that illustrate how random phenomena occur in nature and how to use probabilistic techniques to accurately model these phenomena. The authors discuss a broad range of topics, from the basic concepts of probability to advanced topics for further study, including Itô integrals, martingales, and sigma algebras. Additional topical coverage includes: Distributions of discrete and continuous random variables frequently used in applications Random vectors, conditional probability, expectation, and multivariate normal distributions The laws of large numbers, limit theorems, and convergence of sequences of random variables Stochastic processes and related applications, particularly in queueing systems Financial mathematics, including pricing methods such as risk-neutral valuation and the Black-Scholes formula Extensive appendices containing a review of the requisite mathematics and tables of standard distributions for use in applications are provided, and plentiful exercises, problems, and solutions are found throughout. Also, a related website features additional exercises with solutions and supplementary material for classroom use. Introduction to Probability and Stochastic Processes with Applications is an ideal book for probability courses at the upper-undergraduate level. The book is also a valuable reference for researchers and practitioners in the fields of engineering, operations research, and computer science who conduct data analysis to make decisions in their everyday work.
Probability Random Processes and Statistical Analysis
Author | : Hisashi Kobayashi,Brian L. Mark,William Turin |
Publsiher | : Cambridge University Press |
Total Pages | : 813 |
Release | : 2011-12-15 |
Genre | : Technology & Engineering |
ISBN | : 9781139502610 |
Download Probability Random Processes and Statistical Analysis Book in PDF, Epub and Kindle
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 loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.
Probability Statistics and Stochastic Processes
Author | : Peter Olofsson,Mikael Andersson |
Publsiher | : John Wiley & Sons |
Total Pages | : 573 |
Release | : 2012-05-22 |
Genre | : Mathematics |
ISBN | : 9780470889749 |
Download Probability Statistics and Stochastic Processes Book in PDF, Epub and Kindle
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 combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including: Consistency of point estimators Large sample theory Bootstrap simulation Multiple hypothesis testing Fisher's exact test and Kolmogorov-Smirnov test Martingales, renewal processes, and Brownian motion One-way analysis of variance and the general linear model Extensively class-tested to ensure an accessible presentation, Probability, Statistics, and Stochastic Processes, Second Edition is an excellent book for courses on probability and statistics at the upper-undergraduate level. The book is also an ideal resource for scientists and engineers in the fields of statistics, mathematics, industrial management, and engineering.
Student s Solutions Guide for Introduction to Probability Statistics and Random Processes
Author | : Hossein Pishro-Nik |
Publsiher | : Unknown |
Total Pages | : 220 |
Release | : 2016-06-20 |
Genre | : Electronic Book |
ISBN | : 0990637212 |
Download Student s Solutions Guide for Introduction to Probability Statistics and Random Processes Book in PDF, Epub and Kindle
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.
Introduction to Probability
Author | : Charles Miller Grinstead,James Laurie Snell |
Publsiher | : American Mathematical Soc. |
Total Pages | : 536 |
Release | : 1997 |
Genre | : Mathematics |
ISBN | : 0821807498 |
Download Introduction to Probability Book in PDF, Epub and Kindle
This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject.
Probability Statistics and Random Processes for Electrical Engineering
Author | : Alberto Leon-Garcia |
Publsiher | : Prentice Hall |
Total Pages | : 833 |
Release | : 2008 |
Genre | : Electric engineering |
ISBN | : 9780131471221 |
Download Probability Statistics and Random Processes for Electrical Engineering Book in PDF, Epub and Kindle
While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice.