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Probability with r, Horgan, Jane M.


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Цена: 149530.00T
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Автор: Horgan, Jane M.   (Джейн М. Хорган)
Название:  Probability with r
Перевод названия: Джейн М. Хорган: Вероятность с пакетом R
ISBN: 9781119536949
Издательство: Wiley
Издательство: John wiley and sons ltd
Классификация:
ISBN-10: 1119536944
Обложка/Формат: Hardcover
Страницы: 496
Вес: 0.91 кг.
Дата издания: 13.02.2020
Серия: Mathematics
Язык: English
Издание: 2nd edition
Размер: 159 x 237 x 24
Читательская аудитория: Professional & vocational
Ключевые слова: Computer science,Mathematics
Подзаголовок: An introduction with computer science applications
Ссылка на Издательство: Link
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Поставляется из: США
Описание:

Provides a comprehensive introduction to probability with an emphasis on computing-related applications

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 R 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 Probability with R: An Introduction with Computer Science Applications, Second Edition 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.

Chapters cover: The R language; summarizing statistical data; graphical displays; the fundamentals of probability; reliability; discrete and continuous distributions; and more.

This second edition includes:

  • improved R code throughout the text, as well as new procedures, packages and interfaces;
  • updated and additional examples, exercises and projects covering recent developments of computing;
  • an introduction to bivariate discrete distributions together with the R functions used to handle large matrices of conditional probabilities, which are often needed in machine translation;
  • an introduction to linear regression with particular emphasis on its application to machine learning using testing and training data;
  • a new section on spam filtering using Bayes theorem to develop the filters;
  • an extended range of Poisson applications such as network failures, website hits, virus attacks and accessing the cloud;
  • use of new allocation functions in R to deal with hash table collision, server overload and the general allocation problem.

The book is supplemented with a Wiley Book Companion Site featuring data and solutions to exercises within the book.

Primarily addressed to students of computer science and related areas, Probability with R: An Introduction with Computer Science Applications, Second Edition is also an excellent text for students of engineering and the general sciences. Computing professionals who need to understand the relevance of probability in their areas of practice will find it useful.



Probability Theory

Автор: E. T. Jaynes
Название: Probability Theory
ISBN: 0521592712 ISBN-13(EAN): 9780521592710
Издательство: Cambridge Academ
Рейтинг:
Цена: 114050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive introduction to the role of probability theory in general scientific endeavour. This book provides an original interpretation of probability theory, showing the subject to be an extension of logic, and presenting new results and applications. Ideal for scientists working in any area involving inference from incomplete information.

Counterfactuals and Causal Inference

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Actuarial Mathematics for Life Contingent Risks

Автор: Dickson, David C. M.
Название: Actuarial Mathematics for Life Contingent Risks
ISBN: 1107044073 ISBN-13(EAN): 9781107044074
Издательство: Cambridge Academ
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Цена: 83430.00 T
Наличие на складе: Поставка под заказ.
Описание: Actuarial Mathematics for Life Contingent Risks, 2nd edition, is the sole required text for the Society of Actuaries Exam MLC Fall 2015 and Spring 2016. It covers the entire syllabus for the SOA Exam MLC, including new sections for Spring 2016. It is ideal for university courses and for individuals preparing for professional actuarial examinations - especially the new, long-answer exam questions. Three leaders in actuarial science balance rigor with intuition and emphasize practical applications using computational techniques to provide a modern perspective on life contingencies and equip students for the products and risk structures of the future. The authors then develop a more contemporary outlook, introducing multiple state models, emerging cash flows and embedded options. The 210 exercises provide meaningful practice with both long-answer and multiple choice questions. Furthermore: • the book has been updated to include new material on discrete time Markov processes, on models involving joint lives, and on universal life insurance and participating traditional insurance • the Solutions Manual (ISBN 9781107620261), available for separate purchase, provides detailed solutions to the text's exercises.

Bayesian Analysis with Stata

Автор: Thompson John
Название: Bayesian Analysis with Stata
ISBN: 1597181412 ISBN-13(EAN): 9781597181419
Издательство: Taylor&Francis
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Цена: 57150.00 T
Наличие на складе: Невозможна поставка.
Описание:

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.


Meta-Analysis in Stata

Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors)
Название: Meta-Analysis in Stata
ISBN: 1597181471 ISBN-13(EAN): 9781597181471
Издательство: Taylor&Francis
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Цена: 77570.00 T
Наличие на складе: Невозможна поставка.
Описание: Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature. Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.

One Hundred Nineteen Stata Tips

Автор: Cox
Название: One Hundred Nineteen Stata Tips
ISBN: 1597181439 ISBN-13(EAN): 9781597181433
Издательство: Taylor&Francis
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Цена: 50010.00 T
Наличие на складе: Нет в наличии.
Описание: One Hundred Nineteen Stata Tips provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community that have appeared in the Stata Journal since 2003.

Advances in Economics and Econometrics vol. II

Автор: Honore Bo
Название: Advances in Economics and Econometrics vol. II
ISBN: 1108400027 ISBN-13(EAN): 9781108400022
Издательство: Cambridge Academ
Рейтинг:
Цена: 59130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second volume includes papers presented at the Eleventh World Congress of the Econometric Society, addressing topics such as big data, macroeconomics, financial markets, and partially identified models.

Advances in Economics and Econometrics vol I

Автор: Honore Bo
Название: Advances in Economics and Econometrics vol I
ISBN: 1108400000 ISBN-13(EAN): 9781108400008
Издательство: Cambridge Academ
Рейтинг:
Цена: 63350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This first volume includes papers presented at the Eleventh World Congress of the Econometric Society, addressing topics such as dynamic mechanism design, agency problems, and networks.

The Mata book

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
Рейтинг:
Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata.

Weighing the odds

Автор: David Williams
Название: Weighing the odds
ISBN: 052100618X ISBN-13(EAN): 9780521006187
Издательство: Cambridge Academ
Рейтинг:
Цена: 79200.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A lively book enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Tests. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.

Cambridge international as & a level mathematics: probability & statistics 1 practice book

Название: Cambridge international as & a level mathematics: probability & statistics 1 practice book
ISBN: 1108444903 ISBN-13(EAN): 9781108444903
Издательство: Cambridge Education
Рейтинг:
Цена: 21420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.

Discrete Event Simulation for Health Technology Assessment

Автор: Caro J. Jaime, Moller Jorgen, Stahl James
Название: Discrete Event Simulation for Health Technology Assessment
ISBN: 1482218240 ISBN-13(EAN): 9781482218244
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Discover How to Apply DES to Problems Encountered in HTA

Discrete event simulation (DES) has traditionally been used in the engineering and operations research fields. The use of DES to inform decisions about health technologies is still in its infancy. Written by specialists at the forefront of this area, Discrete Event Simulation for Health Technology Assessment is the first book to make all the central concepts of DES relevant for health technology assessment (HTA). Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible.

The book first covers the essential concepts and their implementation. It next provides a fully worked out example using both a widely available spreadsheet program (Microsoft Excel) and a popular specialized simulation package (Arena). It then presents approaches to analyze the simulations, including the treatment of uncertainty; tackles the development of the required equations; explains the techniques to verify that the models are as efficient as possible; and explores the indispensable topic of validation. The book also covers a variety of non-essential yet handy topics, such as the animation of a simulation and extensions of DES, and incorporates a real case study involving screening strategies for breast cancer surveillance.

This book guides you in leveraging DES in your assessments of health technologies. After reading the chapters in sequence, you will be able to construct a realistic model designed to help in the assessment of a new health technology.



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