Автор: Claudia Becker; Roland Fried; Sonja Kuhnt Название: Robustness and Complex Data Structures ISBN: 3642443869 ISBN-13(EAN): 9783642443862 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presented in honor of Ursula Gather`s 60th birthday this book deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures.
Автор: Claudia Becker; Roland Fried; Sonja Kuhnt Название: Robustness and Complex Data Structures ISBN: 3642354939 ISBN-13(EAN): 9783642354939 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presented in honor of Ursula Gather`s 60th birthday this book deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures.
Автор: Thomas Mailund Название: Functional Data Structures in R ISBN: 1484231430 ISBN-13(EAN): 9781484231432 Издательство: Springer Рейтинг: Цена: 3492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you'll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. You'll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. You'll discover how these so-called functional data structures are different from the traditional data structures you might know, but are worth understanding to do serious algorithmic programming in a functional language such as R. By the end of Functional Data Structures in R, you'll understand the choices to make in order to most effectively work with data structures when you cannot modify the data itself. These techniques are especially applicable for algorithmic development important in big data, finance, and other data science applications. What You'll Learn
Carry out algorithmic programming in R
Use abstract data structures
Work with both immutable and persistent data
Emulate pointers and implement traditional data structures in R
Build new versions of traditional data structures that are known
Who This Book Is For Experienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended.
Автор: Sigbert Klinke Название: Data Structures for Computational Statistics ISBN: 3790809829 ISBN-13(EAN): 9783790809824 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven- ties some special languages like SAS or SPSS were available for statisticians.
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