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The Signed Distance Measure in Fuzzy Statistical Analysis: Theoretical, Empirical and Programming Advances, Berkachy Rйdina


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Цена: 18167.00р.
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Автор: Berkachy Rйdina
Название:  The Signed Distance Measure in Fuzzy Statistical Analysis: Theoretical, Empirical and Programming Advances
ISBN: 9783030769154
Издательство: Springer
Классификация:



ISBN-10: 3030769151
Обложка/Формат: Hardcover
Страницы: 342
Вес: 0.69 кг.
Дата издания: 27.09.2021
Серия: Fuzzy management methods
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 28 tables, color; 55 illustrations, color; 15 illustrations, black and white; xxiii, 346 p. 70 illus., 55 illus. in color.
Размер: 23.39 x 15.60 x 2.24 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Theoretical, empirical and programming advances
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy.


Metaprogramming in R

Автор: Thomas Mailund
Название: Metaprogramming in R
ISBN: 1484228804 ISBN-13(EAN): 9781484228807
Издательство: Springer
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Цена: 3492.00 р.
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Описание: Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify.
R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself.
What You'll Learn

  • Find out about the anatomy of a function in R
  • Look inside a function call
  • Work with R expressions and environments
  • Manipulate expressions in R
  • Use substitutions
Who This Book Is For
Those with at least some experience with R and certainly for those with experience in other programming languages.
Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

Автор: Jo?o Lita da Silva; Frederico Caeiro; Isabel Nat?r
Название: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
ISBN: 364234903X ISBN-13(EAN): 9783642349034
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009.

Open source software for statistical analysis of big data

Название: Open source software for statistical analysis of big data
ISBN: 1799827682 ISBN-13(EAN): 9781799827689
Издательство: Mare Nostrum (Eurospan)
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Цена: 30215.00 р.
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Описание: Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning.

New Advances in Statistical Modeling and Applications

Автор: Pacheco Antonio
Название: New Advances in Statistical Modeling and Applications
ISBN: 3319053221 ISBN-13(EAN): 9783319053226
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazare, from September 28 to October 1, 2011. It covers a broad scope of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.

Advances in Theoretical and Applied Statistics

Автор: Nicola Torelli; Fortunato Pesarin; Avner Bar-Hen
Название: Advances in Theoretical and Applied Statistics
ISBN: 3642355870 ISBN-13(EAN): 9783642355875
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; statistical modeling and data analysis;

Innovations in Multivariate Statistical Analysis

Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr
Название: Innovations in Multivariate Statistical Analysis
ISBN: 1461370809 ISBN-13(EAN): 9781461370802
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.

Innovations in Multivariate Statistical Analysis

Автор: Risto D.H. Heijmans; D.S.G. Pollock; Albert Satorr
Название: Innovations in Multivariate Statistical Analysis
ISBN: 0792386361 ISBN-13(EAN): 9780792386360
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The three decades which have followed the publication of Heinz Neudecker`s seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products` in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines.

Advances in Theoretical and Applied Statistics

Автор: Nicola Torelli; Fortunato Pesarin; Avner Bar-Hen
Название: Advances in Theoretical and Applied Statistics
ISBN: 3642431933 ISBN-13(EAN): 9783642431937
Издательство: Springer
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Цена: 14673.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; statistical modeling and data analysis;

Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems

Автор: Giuseppe Arbia
Название: Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
ISBN: 9401075786 ISBN-13(EAN): 9789401075787
Издательство: Springer
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Цена: 26546.00 р.
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Описание: Figure 1. 4: First order neighbours (a) and second order neighbours (b) of a reference area. a shows the first-order neighbours of a reference area, while Figure 1. While it is clear that the dependence is strongest between immediate neighbouring areas a certain degree of dependence may be present among higher-order neighbours.

Advanced Statistical Methods for the Analysis of Large Data-Sets

Автор: Agostino Di Ciaccio; Mauro Coli; Jose Miguel Angul
Название: Advanced Statistical Methods for the Analysis of Large Data-Sets
ISBN: 3642443400 ISBN-13(EAN): 9783642443404
Издательство: Springer
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Цена: 22359.00 р.
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Описание: The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on "Advanced Statistical Methods for the Analysis of Large Data-sets."

Advanced R Statistical Programming and Data Models

Автор: Matt Wiley; Joshua F. Wiley
Название: Advanced R Statistical Programming and Data Models
ISBN: 1484228715 ISBN-13(EAN): 9781484228715
Издательство: Springer
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Цена: 6288.00 р.
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Описание:

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study.
Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You’ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics. This is a must-have guide and reference on using and programming with the R language.
What You’ll Learn
Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixed effects models, machine learning, and parallel processingCarry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysisHandle machine learning using R including parallel processing, dimension reduction, and feature selection and classificationAddress missing data using multiple imputation in RWork on factor analysis, generalized linear mixed models, and modeling intraindividual variability
Who This Book Is For
Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are given proven code to reduce time to result(s).
Advanced Object-Oriented Programming in R

Автор: Thomas Mailund
Название: Advanced Object-Oriented Programming in R
ISBN: 1484229185 ISBN-13(EAN): 9781484229187
Издательство: Springer
Рейтинг:
Цена: 3492.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R.


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