Intermediate Probability - A Computational Approach, Paolella
Автор: Nahin Paul J. Название: Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback) ISBN: 0691158215 ISBN-13(EAN): 9780691158211 Издательство: Wiley Рейтинг: Цена: 17940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to ge
Автор: John H. Drew; Diane L. Evans; Andrew G. Glen; Lawr Название: Computational Probability ISBN: 3319433210 ISBN-13(EAN): 9783319433219 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables.
Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.
Автор: Andrew G. Glen; Lawrence M. Leemis Название: Computational Probability Applications ISBN: 3319433156 ISBN-13(EAN): 9783319433158 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. APPL, as a research tool, enables a probabilist or statistician the ability to explore new ideas, methods, and models. Furthermore, as an open-source language, it sets the foundation for future algorithms to augment the original code.
Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language. The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics.
Автор: Gut Название: An Intermediate Course in Probability ISBN: 1441901612 ISBN-13(EAN): 9781441901613 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the basic results and methods in probability theory. This new edition offers updated content, 100 additional problems for solution, and a new chapter glimpsing further topics such as stable distributions, domains of attraction and martingales.
Автор: Pelham Название: Intermediate Statistics ISBN: 1412994985 ISBN-13(EAN): 9781412994989 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions
Автор: Stevens James P. Название: Intermediate Statistics: A Modern Approach [With CDROM] ISBN: 0805854665 ISBN-13(EAN): 9780805854664 Издательство: Taylor&Francis Рейтинг: Цена: 84710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this volume, one of the most important manuscripts surviving from pre-Conquest England receives penetrating analysis by several scholars. The `Junius Manuscript` is evaluated from a number of intersecting perspectives, including codicology, decoration, script and punctuation; the confluence of these permits a fresh and convincing dating of this crucially important witness to Old English poetry.
Автор: Gan Название: Measure, Probability, and Mathematical Finance - A Problem-Oriented Approach ISBN: 1118831969 ISBN-13(EAN): 9781118831960 Издательство: Wiley Рейтинг: Цена: 131950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach features an introduction to the mathematical theory underlying the financial models that were developed and employed on Wall Street.
Автор: Martinez Wendy L. Название: Computational Statistics Handbook with MATLAB ISBN: 1466592737 ISBN-13(EAN): 9781466592735 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A Strong Practical Focus on Applications and Algorithms Computational Statistics Handbook with MATLAB(R), Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods.
New to the Third Edition This third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines.
Web Resource The authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.
Автор: Grimmett Название: Probability and Random Processes 3ed ISBN: 0198572220 ISBN-13(EAN): 9780198572220 Издательство: Oxford Academ Рейтинг: Цена: 48040.00 T Наличие на складе: Поставка под заказ. Описание: Love Your Home is an inspiring and thought-provoking sourcebook of ideas for home design. It explores the concept of `home` and its role as a private retreat and sanctuary, as well as a social hub for entertaining and the centre of family life. Provides an introduction to probability and random processes and their practical applications. This third edition emphasizes modeling and understanding rather than abstraction. Many important random processes are developed in the text through examples. It includes exercises and problems, with solutions provided in the companion volume.
Автор: Hastings Название: Introduction to Probability with Mathematica, Second Edition ISBN: 1420079387 ISBN-13(EAN): 9781420079388 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Невозможна поставка. Описание: Updated to conform to Mathematica (R) 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on
Автор: Chaumont Название: Exercises in Probability ISBN: 1107606551 ISBN-13(EAN): 9781107606555 Издательство: Cambridge Academ Рейтинг: Цена: 59130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Ideal for independent study or as a companion to a course in advanced probability theory, this book now includes over 100 exercises. In each case, the authors provide a detailed solution and references for preliminary and further reading. Insightful notes help to set the exercises in context.
Автор: Ronald B. Geskus Название: Data Analysis With Competing Risks And Intermediate States ISBN: 1466570350 ISBN-13(EAN): 9781466570351 Издательство: Taylor&Francis Рейтинг: Цена: 78590.00 T Наличие на складе: Невозможна поставка. Описание:
Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results.
After introducing example studies from the biomedical and epidemiological fields, the book formally defines the concepts that play a role in analyses with competing risks and intermediate states. It addresses nonparametric estimation of the relevant quantities. The book then shows how to use a stacked data set that offers great flexibility in the modeling of covariable effects on the transition rates between states. It also describes three ways to quantify effects on the cumulative scale.
Each chapter includes standard exercises that reflect on the concepts presented, a section on software that explains options in SAS and Stata and the functionality in the R program, and computer practicals that allow readers to practice with the techniques using an existing data set of bone marrow transplant patients. The book's website provides the R code for the computer practicals along with other material.
For researchers with some experience in the analysis of standard time-to-event data, this practical and thorough treatment extends their knowledge and skills to the competing risks and multi-state settings. Researchers from other fields can also easily translate individuals and diseases to units and phenomena from their own areas.
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