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Probability Distributions An Introduction To Probability Theory With Applications


Probability Distributions An Introduction To Probability Theory With Applications
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Probability Distributions An Introduction To Probability Theory With Applications


Probability Distributions An Introduction To Probability Theory With Applications
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Author : Chris P. Tsokos
language : en
Publisher: Brooks/Cole
Release Date : 1972

Probability Distributions An Introduction To Probability Theory With Applications written by Chris P. Tsokos and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Mathematics categories.




Introduction To Probability With Statistical Applications


Introduction To Probability With Statistical Applications
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Author : Géza Schay
language : en
Publisher: Birkhäuser
Release Date : 2016-06-17

Introduction To Probability With Statistical Applications written by Géza Schay and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Mathematics categories.


Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises“/p> Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. ... the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)



Introduction To Probability


Introduction To Probability
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Author : Richard L. Scheaffer
language : en
Publisher: Brooks/Cole
Release Date : 1975

Introduction To Probability written by Richard L. Scheaffer and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Mathematics categories.


Models of reality; Probability; Discrete random variables and their probability distributions; Continuous random variables and their probability distributions; Multivariate probability distributions; Functions of random variables; Some approximations to probability distributions: limit theorems; Statitical applications.



An Introduction To Probability Theory And Its Applications Volume 2


An Introduction To Probability Theory And Its Applications Volume 2
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Author : William Feller
language : en
Publisher: John Wiley & Sons
Release Date : 1991-01-08

An Introduction To Probability Theory And Its Applications Volume 2 written by William Feller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-01-08 with Mathematics categories.


The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.



Introduction To Probability And Statistics


Introduction To Probability And Statistics
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Author : Giri
language : en
Publisher: Routledge
Release Date : 2019-01-22

Introduction To Probability And Statistics written by Giri and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-22 with Mathematics categories.


Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.



Introduction To Probability


Introduction To Probability
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Author : Narayanaswamy Balakrishnan
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-24

Introduction To Probability written by Narayanaswamy Balakrishnan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Mathematics categories.


INTRODUCTION TO PROBABILITY Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite. This textbook is intended as the sequel to Introduction to Probability: Models and Applications. Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test basic and advanced understanding of the theory. A wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer exercises Features applications representing worldwide situations and processes Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress Perfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, Introduction to Probability: Multivariate Models and Applications is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.



An Introduction To Probability Theory And Its Applications Volume 1


An Introduction To Probability Theory And Its Applications Volume 1
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Author : William Feller
language : en
Publisher: John Wiley & Sons
Release Date : 1968-01-15

An Introduction To Probability Theory And Its Applications Volume 1 written by William Feller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968-01-15 with Mathematics categories.


The nature of probability theory. The sample space. Elements of combinatorial analysis. Fluctuations in coin tossing and random walks. Combination of events. Conditional probability, stochastic independence. The binomial and the Poisson distributions. The Normal approximation to the binomial distribution. Unlimited sequences of Bernoulli trials. Random variables, expectation. Laws of large numbers. Integral valued variables, generating functions. Compound distributions. Branching processes. Recurrent events. Renewal theory. Random walk and ruin problems. Markov chains. Algebraic treatment of finite Markov chains. The simplest time-dependent stochastic processes. Answer to problems. Index.



An Introduction To Probability Theory And Its Applications


An Introduction To Probability Theory And Its Applications
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Author : William Feller
language : en
Publisher:
Release Date : 1950

An Introduction To Probability Theory And Its Applications written by William Feller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1950 with Probabilities categories.




An Introduction To Probability Theory And Its Applications


An Introduction To Probability Theory And Its Applications
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Author : William Feller
language : en
Publisher: John Wiley & Sons
Release Date : 1968

An Introduction To Probability Theory And Its Applications written by William Feller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Probabilities categories.


· Introduction: The Nature of Probability Theory· The Sample Space· Elements of Combinatorial Analysis· Fluctuations in Coin Tossing and Random Walks· Combination of Events· Conditional Probability· Stochastic Independence· The Binomial and Poisson Distributions· The Normal Approximation to the Binomial Distribution· Unlimited Sequences of Bernoulli Trials· Random Variables· Expectation· Laws of Large Numbers· Integral Valued Variables· Generating Functions· Compound Distributions· Branching Processes· Recurrent Events· Renewal Theory· Random Walk and Ruin Problems· Markov Chains· Algebraic Treatment of Finite Markov Chains· The Simplest Time-Dependent Stochastic Processes



An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2


An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2
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Author : Willliam Feller
language : en
Publisher: John Wiley & Sons
Release Date : 2008-08

An Introduction To Probability Theory And Its Applications 2nd Ed Vol 2 written by Willliam Feller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08 with categories.


· The Exponential and the Uniform Densities· Special Densities. Randomization· Densities in Higher Dimensions. Normal Densities and Processes· Probability Measures and Spaces· Probability Distributions in Rr· A Survey of Some Important Distributions and Processes· Laws of Large Numbers. Applications in Analysis· The Basic Limit Theorems· Infinitely Divisible Distributions and Semi-Groups· Markov Processes and Semi-Groups· Renewal Theory· Random Walks in R1· Laplace Transforms. Tauberian Theorems. Resolvents· Applications of Laplace Transforms· Characteristic Functions· Expansions Related to the Central Limit Theorem,· Infinitely Divisible Distributions· Applications of Fourier Methods to Random Walks· Harmonic Analysis