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An Introduction To Probability And Statistics 2nd Ed

AN INTRODUCTION TO PROBABILITY AND STATISTICS  2ND ED PDF

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Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 9788126519262
Size: 44.10 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 744
View: 4699

Book Description: Market_Desc: This book is intended for Upper Seniors and Beginning Graduate Students in Mathematics, as well as Students in Physics and Engineering with strong mathematical backgrounds. It was designed for a three-quarter course meeting four hours per week or a two-semester course meeting three hours per week. Special Features: · An excellent introduction to the field of statistics organized in three parts: probability, foundations of statistical inference, and special topics. The Second Edition boasts a completely updated statistical inference section as well as many new problems, examples, and figures. It omits the introduction section and the chapter on sequential statistical inference. Includes over 350 worked examples.· Offers the proof of the central limit theorem by the method of operators and proof of the strong law of large numbers.· Contains a section on minimal sufficient statistics.· Carefully presents the theory of confidence intervals, including Bayesian intervals and shortest-length confidence intervals. About The Book: The second edition now has an updated statistical inference section (chapters 8 to 13). Many revisions have been made, the references have been updated, and many new problems and worked examples have been added.


An Introduction To Probability And Statistics

An Introduction to Probability and Statistics PDF

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Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 1118165683
Size: 13.75 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 744
View: 3948

Book Description: The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.


Introduction To Probability And Mathematical Statistics

Introduction to Probability and Mathematical Statistics PDF

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Author: Lee J. Bain
Publisher: Duxbury Press
ISBN: 9780534380205
Size: 68.34 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 644
View: 922

Book Description: The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.


An Introduction To Probability And Statistical Inference

An Introduction to Probability and Statistical Inference PDF

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Author: George G. Roussas
Publisher: Academic Press
ISBN: 0128004371
Size: 17.50 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 624
View: 1505

Book Description: An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help them obtain the best solution to a posed question or situation. It provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. This text contains an enhanced number of exercises and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities. Reorganized material is included in the statistical portion of the book to ensure continuity and enhance understanding. Each section includes relevant proofs where appropriate, followed by exercises with useful clues to their solutions. Furthermore, there are brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises are available to instructors in an Answers Manual. This text will appeal to advanced undergraduate and graduate students, as well as researchers and practitioners in engineering, business, social sciences or agriculture. Content, examples, an enhanced number of exercises, and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding A relatively rigorous, yet accessible and always within the prescribed prerequisites, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines Relevant proofs where appropriate in each section, followed by exercises with useful clues to their solutions Brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual


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Author: Марк Кельберт
Publisher: Litres
ISBN: 5040743645
Size: 75.41 MB
Format: PDF
Category : Mathematics
Languages : ru
Pages :
View: 7403

Book Description: Для освоения теории вероятностей и математической статистики тренировка в решении задач и выработка интуиции важны не меньше, чем изучение доказательств теорем; большое разнообразие задач по этому предмету затрудняет студентам переход от лекций к экзаменационным задачам, а от них – к практике.Ввиду того, что предмет этой книги критически важен как для современных приложений (финансовая математика, менеджмент, телекоммуникации, обработка сигналов, биоинформатика), так и для приложений классических (актуарная математика, социология, инженерия), авторы собрали большое количество упражнений, снабженных полными решениями. Эти решения адаптированы к нуждам и умениям учащихся. Необходимые теоретические сведения приводятся по ходу изложения; кроме того, текст снабжен историческими отступлениями.


An Introduction To Probability Theory And Its Applications

An Introduction to Probability Theory and Its Applications PDF

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Author: Vilim Feller
Publisher:
ISBN:
Size: 47.35 MB
Format: PDF, Mobi
Category : Probabilities
Languages : en
Pages : 669
View: 259

Book Description: 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.


Stochastics

Stochastics PDF

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Author: Hans-Otto Georgii
Publisher: Walter de Gruyter
ISBN: 9783110191455
Size: 58.18 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 370
View: 950

Book Description: This book is a translation of the third edition of the well accepted German textbook 'Stochastik', which presents the fundamental ideas and results of both probability theory and statistics, and comprises the material of a one-year course. The stochastic concepts, models and methods are motivated by examples and problems and then developed and analysed systematically.


Introduction To Probability Second Edition

Introduction to Probability  Second Edition PDF

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Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 0429766734
Size: 23.81 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 620
View: 2517

Book Description: Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources.


Introduction To Probability

Introduction to Probability PDF

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Author: Dimitri P. Bertsekas
Publisher:
ISBN: 9781886529236
Size: 31.57 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 528
View: 2181

Book Description:


An Introduction To Measure Theoretic Probability

An Introduction to Measure Theoretic Probability PDF

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Author: George G. Roussas
Publisher: Academic Press
ISBN: 0128002905
Size: 39.56 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 426
View: 3281

Book Description: An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching the basics of measure theoretic probability. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas should be equipped with. This edition requires no prior knowledge of measure theory, covers all its topics in great detail, and includes one chapter on the basics of ergodic theory and one chapter on two cases of statistical estimation. Topics range from the basic properties of a measure to modes of convergence of a sequence of random variables and their relationships; the integral of a random variable and its basic properties; standard convergence theorems; standard moment and probability inequalities; the Hahn-Jordan Decomposition Theorem; the Lebesgue Decomposition T; conditional expectation and conditional probability; theory of characteristic functions; sequences of independent random variables; and ergodic theory. There is a considerable bend toward the way probability is actually used in statistical research, finance, and other academic and nonacademic applied pursuits. Extensive exercises and practical examples are included, and all proofs are presented in full detail. Complete and detailed solutions to all exercises are available to the instructors on the book companion site. This text will be a valuable resource for graduate students primarily in statistics, mathematics, electrical and computer engineering or other information sciences, as well as for those in mathematical economics/finance in the departments of economics. Provides in a concise, yet detailed way, the bulk of probabilistic tools essential to a student working toward an advanced degree in statistics, probability, and other related fields Includes extensive exercises and practical examples to make complex ideas of advanced probability accessible to graduate students in statistics, probability, and related fields All proofs presented in full detail and complete and detailed solutions to all exercises are available to the instructors on book companion site Considerable bend toward the way probability is used in statistics in non-mathematical settings in academic, research and corporate/finance pursuits.