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Probability and Statistics with R, Ugarte Maria Dolores


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Автор: Ugarte Maria Dolores
Название:  Probability and Statistics with R
Перевод названия: Долорес Мария Угарте: Вероятность и статистика с использованием языка R
ISBN: 9781466504394
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1466504390
Обложка/Формат: Hardback
Страницы: 983
Вес: 1.98 кг.
Дата издания: 25.08.2015
Язык: English
Издание: 2 ed
Иллюстрации: 123 tables, black and white; 263 illustrations, black and white
Размер: 187 x 262 x 50
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General,MATHEMATICS / Probability & Statistics / Bayesian Analysis
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Cohesively Incorporates Statistical Theory with R Implementation

Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs.

New to the Second Edition

  • Improvements to existing examples, problems, concepts, data, and functions
  • New examples and exercises that use the most modern functions
  • Coverage probability of a confidence interval and model validation
  • Highlighted R code for calculations and graph creation

Gets Students Up to Date on Practical Statistical Topics

Keeping pace with todays statistical landscape, this textbook expands your students knowledge of the practice of statistics. It effectively links statistical concepts with R procedures, empowering students to solve a vast array of real statistical problems with R.

Web Resources

A supplementary website offers solutions to odd exercises and templates for homework assignments while the data sets and R functions are available on CRAN.




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Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

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Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

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Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

40 Puzzles and Problems in Probability and Mathematical Statistics

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Издательство: Springer
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Описание: The present book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. The author's own experience, both in learning and in teaching, is that challenging problems often provide more, and longer lasting, inductive insights than plain-style deductions from general concepts. Problems help to develop, and to sharpen our intuition for important probabilistical concepts and tools such as conditionaing or first-step analyses.Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are of course long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given.

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Издательство: Wiley
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Описание: Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.


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