probability an introduction

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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)An Introduction to Probability Theory and Its ApplicationsAn Introduction to Probability and Statistical Inference【電子書籍】 George G. RoussasProbability - An Introduction【電子書籍】 Ramachandran AnanthakrishnanIntroduction to Probability and Statistics【電子書籍】 GiriIntroduction To ProbabilityAn Introduction to Probability Theory and Its Applications Vol. 1, Edition 3An Introduction to Probability and Statistical Inference【電子書籍】 George G. RoussasProbability with R An Introduction with Computer Science Applications【電子書籍】 Jane M. HorganGames, Gambling, and Probability An Introduction to Mathematics【電子書籍】 David G. TaylorIntroduction to Probability and StatisticsProbability - An Introduction (English Edition)An Introduction to Measure-Theoretic Probability【電子書籍】 George G. RoussasSurvival under Uncertainty An Introduction to Probability Models of Social Structure and Evolution【電子書籍】 Dimitri VolchenkovStatistics for Data Scientists An Introduction to Probability, Statistics, and Data Analysis【電子書籍】 Maurits KapteinIntroduction to Probability, Second Edition (Chapman Hall/CRC Texts in Statistical Science)Introduction to Probability, Statistics, and Random Processes洋書 Paperback, Survival under Uncertainty: An Introduction to Probability Models of Social Structure and Evolution (Understanding Complex Systems)Numerical Probability An Introduction with Applications to Finance【電子書籍】 Gilles Pag sProbability: A Very Short Introduction (Very Short Introductions)Elements of Probability and Statistics: An Introduction to Probability with de Finetti 039 s Approach an ELEMENTS OF PROBABILITY STAT Francesca BiaginiAn Introduction to Probability and Inductive LogicHigh-Dimensional Probability An Introduction with Applications in Data Science【電子書籍】 Roman VershyninProbability An Introduction【電子書籍】 Dominic Welsh【中古】【未使用 未開封品】An Elementary Introduction to Stochastic Interest Rate Modeling (Advanced Series on Statistical Science Applied Probability)Probability An Introduction【電子書籍】 Samuel GoldbergAn Introduction to Probability and Inductive Logic【電子書籍】 Ian HackingAn Introduction to Probability and Statistics【電子書籍】 Vijay K. RohatgiAn Introduction to Probability and Statistical Inference【電子書籍】 George G. Roussas洋書 Springer paperback Book, Numerical Probability: An Introduction with Applications to Finance (Universitext)
 

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  • <p>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 b...
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  • <p>This book introduces 'Probability' in a unique way. It is perhaps the only book on Mathematics / Statistics written in a fiction format. When you read the book, you will feel that you are in a class room listening to a lecture on probability live.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>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, agricu...
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  • <p>An Introduction to Probability and Statistical Inference, Third Edition, guides the reader through probability models and statistical methods to develop critical-thinking skills. Written by award-winning author George Roussas, this valuable text introduces a thinking process to help them obtain the best solution to a posed question or situation, and provides a plethora of examples and exercises to illustrate applying statistical methods to different situations. - Offers a relatively rigorous, yet accessible, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines - Includes relevant proofs and exercises with useful hints to their solutions - Provides brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to qualified instructors in the Solutions Manual</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いしま...
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  • <p><strong>Provides a comprehensive introduction to probability with an emphasis on computing-related applications</strong></p> <p>This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured over mathematical proofs. The freely down-loadable statistical programming language <em>R</em> is used throughout the text, not only as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples in <em>Probability with R: An Introduction with Computer Science Applications, Second Edition</em> cover a wide range of computer science applications, including: testing program performance; measuring response time and CPU time; estimating the reliability of components and systems; evaluating algorithms and queuing systems.</p> <p>Chapters cover: The R language; summarizing sta...
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  • <p>Many experiments have shown the human brain generally has very serious problems dealing with probability and chance. A greater understanding of probability can help develop the intuition necessary to approach risk with the ability to make more informed (and better) decisions.</p> <p>The first four chapters offer the standard content for an introductory probability course, albeit presented in a much different way and order. The chapters afterward include some discussion of different games, different "ideas" that relate to the law of large numbers, and many more mathematical topics not typically seen in such a book. The use of games is meant to make the book (and course) feel like fun!</p> <p>Since many of the early games discussed are casino games, the study of those games, along with an understanding of the material in later chapters, should remind you that gambling is a <em>bad idea</em>; you should think of placing bets in a casino as paying for entertainment. Win...
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  • <p>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 characterist...
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  • <p>This book introduces and studies a number of stochastic models of subsistence, communication, social evolution and political transition that will allow the reader to grasp the role of uncertainty as a fundamental property of our irreversible world. At the same time, it aims to bring about a more interdisciplinary and quantitative approach across very diverse fields of research in the humanities and social sciences.</p> <p>Through the examples treated in this work ? including anthropology, demography, migration, geopolitics, management, and bioecology, among other things ? evidence is gathered to show that volatile environments may change the rules of the evolutionary selection and dynamics of any social system, creating a situation of adaptive uncertainty, in particular, whenever the rate of change of the environment exceeds the rate of adaptation.</p> <p>Last but notleast, it is hoped that this book will contribute to the understanding that inherent randomness can also...
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  • <p>This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis ? supported by numerous real data examples and reusable [R] code ? with a rigorous treatment of probability and statistical principles.</p> <p>Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p>This textbook provides a self-contained introduction to numerical methods in probability with a focus on applications to finance.</p> <p>Topics covered include the Monte Carlo simulation (including simulation of random variables, variance reduction, quasi-Monte Carlo simulation, and more recent developments such as the multilevel paradigm), stochastic optimization and approximation, discretization schemes of stochastic differential equations, as well as optimal quantization methods. The author further presents detailed applications to numerical aspects of pricing and hedging of financial derivatives, risk measures (such as value-at-risk and conditional value-at-risk), implicitation of parameters, and calibration.</p> <p>Aimed at graduate students and advanced undergraduate students, this book contains useful examples and over 150 exercises, making it suitable for self-study.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いし...
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  • ELEMENTS OF PROBABILITY & STAT Francesca Biagini Massimo Campanino SPRINGER NATURE2016 Paperback English ISBN:9783319072531 洋書 Computers & Science(コンピューター&科学) Mathematics
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  • <p>High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimatio...
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  • <p>Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random processes including Markov chains. A special feature is the authors' attention to rigorous mathematics: not everything is rigorous, but the need for rigour is explained at difficult junctures. The text is enriched by simple exercises, together with problems (with very brief hints) many of which are taken from final examinations at Cambridge and Oxford. The first eight chapters form a course in basic probability, being an account of events, random variables, and distributions - discrete and continuous random variables are treated separately - together with simple versions of the law of large ...
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  • 【中古】【未使用・未開封品】An Elementary Introduction to Stochastic Interest Rate Modeling (Advanced Series on Statistical Science & Applied Probability)【メーカー名】【メーカー型番】【ブランド名】World Scientific Publishing Company Economics, Finance, Applied, Mathematical Analysis, Probability & Statistics, Mathematical Analysis, Finance, Amazon Student ポイント還元(洋書), Amazonアプリキャンペーン対象商品(洋書), 洋書(アダルト除く) Privault, Nicolas: Author【商品説明】An Elementary Introduction to Stochastic Interest Rate Modeling (Advanced Series on Statistical Science & Applied Probability)【注意】こちらは輸入品となります。当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは当店海外ショップで一般の方から買取した未使用・未開封品です。買取した為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承ください。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します...
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  • <p>Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Designed for use by math or statistics departments offering a first course in probability. 360 illustrative problems with answers for half. Only high school algebra needed. Chapter bibliographies.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students (not only those majoring in philosophy) and assumes no formal training in elementary symbolic logic. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction. The key features of this book are a lively and vigorous prose style; lucid and systematic organization and presentation of ideas; many practical applications; a rich supply of exercises drawing on examples from such fields as psychology, ecology, economics, bioethics, engineering, and political science; numerous brief historical accounts of how fundamental ideas of probability and induction developed; and a full bibliography of further reading.</p>画...
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  • <p><strong>A well-balanced introduction to probability theory and mathematical statistics</strong></p> <p>Featuring updated material, <em>An Introduction to Probability and Statistics, Third Edition</em> remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the <em>Third Edition</em> begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics.</p> <p><em>An Introduction to Probability and Statistics, Third Edition</em> includes:</p> <ul> <li>A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression</li> <li>A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics</li> <li>Additional topical coverage on bootstrapping, estimation procedures, and resampling</li> <li>Discussions on invariance, a...
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  • <p>Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process to guide them toward the best solution to a posed question or situation. An Introduction to Probability and Statistical Inference provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. "The text is wonderfully written and has the mostcomprehensive range of exercise problems that I have ever seen." ー Tapas K. Das, University of South Florida"The exposition is great; a mixture between conversational tones and formal mathematics; the appropriate combination for a math text at [this] level. In my examination I could find no instance where I could improve the book." ー H. Pat Goeters, Auburn, University, Alabama* Contains more than 200 illustrative examples discussed in detail, plus scores of numerical examples and applications* Chapters 1-8 can be used independently for an introductory c...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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