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An Introduction to Bootstrap Methods with Applications to R

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2372 покупателей и эксперты портала 1ya.ru рекомендуют к покупке товар «An Introduction to Bootstrap Methods with Applications to R» или его аналог из списка ниже.
A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.
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An Introduction to Bootstrap Methods with Applications to R продается в интернет-магазине ЛитРес
Эксперт: Юрий Л., специалист по онлайн-шопингу
Дата рецензии: 21 ноября 2025 года
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Росток. Условия и методика развития ребенка. ФГОС ДО
Росток. Условия и методика развития ребенка. ФГОС ДО
В книге представлены результаты исследований психического развития детей от рождения до 9 лет. Раскрыты вопросы особенностей и повреждающих факторов психического развития детей и их последствий. Даются конкретные методики, помогающие направить развитие ребенка в естественное русло. .Адаптивная коррекционно-развивающая парциальная программа "Росток", предложенная авторами книги, направлена на развитие высших психических функций ребенка, развитие и стабилизацию межполушарного взаимодействия, обеспечение саморегуляции его психической деятельности. Использование материалов книги позволит решить многие задачи ФГОС ДО. .Книга рекомендована психологам, педагогам и воспитателям ДОО, учителям начальных классов, студентам психологических и педагогических факультетов, преподавателям вузов, слушателям курсов повышения квалификации в системе образования, родителям и всем, кого интересует проблематика психического развития детей. .Данное пособие представляет собой переработанное издание книги авторов "Современная методика развития детей от рождения до 9 лет" (М., 2009). .
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  • Серия

    Психология, педагогика, технология обучения Высшее образование Право Книги, которые все ждали Книги на все времена Психология Отчаянные переговорщики. Техники, методики, тактики Высший класс Психологические исследования

  • Издательство

    КУРС Класс Сова Дело Издание книг ком

  • Тип носителя

    Чешихина В.

  • Эпоха публикации

    4+

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