2nd, Revised and Extended Edition. — de Gruyter, 2024. — 370 p. — (De Gruyter Textbook). — ISBN 978-3-11-133232-1. The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models. Since the text should also be suitable for self-study, excessive formalism is...
9th Edition. — Pearson Education, 2024. — 1642 p. — ASIN: B0D7QFL855. For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant...
Springer, 2024. — 190 p. — (Transactions on Computer Systems and Networks). – ISBN 978-981-99-4660-0. This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MatLAB....
Springer Cham, 2023. — 189 p. — eBook ISBN: 978-3-031-38416-5. This book tells the story of the probability integral, the approaches to analyzing it throughout history, and the many areas of science where it arises. The so-called probability integral, the integral over the real line of a Gaussian function, occurs ubiquitously in mathematics, physics, engineering and probability...
Springer, 2023. — 373 p. — (Graduate Texts in Mathematics). This text presents the basic theory of random walks on infinite, finitely generated groups, along with certain background material in measure-theoretic probability. The main objective is to show how structural features of a group, such as amenability/nonamenability, affect qualitative aspects of symmetric random walks...
Springer, 2023. — 358 p. — (Theory and Decision Library A: Rational Choice in Practical Philosophy and Philosophy of Science, Vol. 54). — ISBN 978-3-031-15435-5 ISBN 978-3-031-15436-2. This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game theory and related areas. The 13 contributions in this volume, written by...
Singapore: Springer, 2022. — 764 p. This book serves as an advanced text for a graduate course on stochastic algorithms for graduate students in probability and statistics, engineering, economics and machine learning. This second edition gives a comprehensive treatment of stochastic approximation algorithms based on the “ordinary differential equation (ODE) approach” which...
Springer, 2022. — 643 p. — (UNITEXT La Matematica per il 3+2 vol.139). — ISBN 978-3-031-09428-6. This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All...
Springer Cham, 2018. —124 p. — eBook ISBN 978-3-319-94992-5. This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies. The methods are based on Singular Value Decomposition (SVD) of a Hankel matrix (HSVD). The proposed decomposition is used to improve the accuracy of linear and nonlinear auto-regressive...
Cham: Birkhäuser, 2022. — 418 p. — (Trends in the History of Science). — ISBN 978-3-031-05988-9. Over the past eighty years, martingales have become central in the mathematics of randomness. They appear in the general theory of stochastic processes, in the algorithmic theory of randomness, and in some branches of mathematical statistics. Yet little has been written about the...
3rd Edition — McGraw-Hill, 2021. — 318p. — ISBN: 1264258844 Study smarter and stay on top of your probability course with the bestselling Schaum's Outline—now with the NEW Schaum's app and website! Schaum's Outline of Probability, Third Edition is the go-to study guide for help in probability courses. It's ideal for undergrads, graduate students and professionals needing a tool...
Springer, 2021. — 493 p. — ISBN 13 9783030562595. Вероятность, случайные переменные и анализ данных с инженерными приложениями This book bridges thegap between theory and applications that currently exist in undergraduate engineering probability textbooks. It offers examples and exercises using data (sets) in addition to traditional analytical and conceptual ones. Conceptual...
Wiley, 2020. — 184 p. — ISBN 9781119675846. Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data...
The MIT Press, 2021. — 630 p. — ISBN 9780262542593. Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic...
Path Ways To Clear Learning, 2012. — 551 p. — ISBN 9781493793457. Welcome… Fundamentals of Statistics & Probability Theory , a two volume textbook tutorial created by Howard Dachslager is an ideal tutorial resource for supporting both independent study and classroom textbook requirements. All major areas of elementary probability theory and statistics are covered in this...
Path Ways To Clear Learning, 2012. — 588 p. — ISBN 9781492245100. Welcome… Fundamentals of Statistics & Probability Theory , a two volume textbook tutorial created by Howard Dachslager is an ideal tutorial resource for supporting both independent study and classroom textbook requirements. All major areas of elementary probability theory and statistics are covered in this...
2nd ed. — CRC, 2019. — 634 p. — (Texts in Statistical Science Series). — ISBN-13 978-1138369917 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...
2nd Edition. — Wiley, 2020. — 1034 p. — ISBN: 978-1-119-51664-4. Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can...
CRC, 2020. — 552 p. — ISBN: 9781138492561. Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical...
3rd Edition. — Chapman and Hall/CRC, 2019. — 487 p. — ISBN: 978-1138044487. Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate...
New York, USA: Dover Publications, 2016. — 160 p. — (Dover Books on Mathematics). — ISBN13: 978-0486801445. Concise and highly focused, this volume offers everything high school and beginning college students need to know to handle problems in probability and statistics. Numerous rigorously tested examples and coherent, to-the-point explanations are presented in an...
Oxford University Press, 2012. — 128 p. — (Very short introductions, 310). — ISBN: 978-0-19-958848-0. Making good decisions under conditions of uncertainty requires a sound appreciation of the way random chance works. It requires, in short, an understanding of probability. In this Very Short Introduction, John Haigh introduces the ideas of probability - and the different...
Springer International Publishing AG, 2018. — 118 p. — (SpringerBriefs in Probability and Mathematical Statistics). — ISBN: 3319770187. This book describes and characterizes an extension to the classical path coupling method applied to statistical mechanical models, referred to as aggregate path coupling. In conjunction with large deviations estimates, the aggregate path...
Springer International Publishing AG, 2018. — 217 p. — (CRM Short Courses). — ISBN: 3319770373. This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the material coveredhere has appeared in other places, this book attempts to explain the core ideas on which that material is based. As a consequence, the presentation is more an extended...
2nd ed. — SAGE Publications, Inc., 2017. — 656 p. — ISBN: 148337873X, 9781483378732 The authors encourage an active approach to learning statistics through many in-depth activities that give students the opportunity to test or demonstrate their understanding of statistical concepts. The Second Edition is based on contemporary research on memory and the “testing effect” which...
2016 Taylor & Francis. Fourteenth editio. Burman University, Formerly Canadian University College
IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step...
Москва: МЦНМО, 2007. — 456 с. 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 и...
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