An Introduction to Data Analysis Using Aggregation Functions in R, James Simon
Автор: Joseph K. Blitzstein, Jessica Hwang Название: Introduction to Probability, Second Edition ISBN: 1138369918 ISBN-13(EAN): 9781138369917 Издательство: Taylor&Francis Рейтинг: Цена: 74510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.
Автор: Leticia Cervantes; Oscar Castillo Название: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers ISBN: 3319266705 ISBN-13(EAN): 9783319266701 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
Автор: Humberto Bustince Sola; Javier Fernandez; Radko Me Название: Aggregation Functions in Theory and in Practise ISBN: 3642391648 ISBN-13(EAN): 9783642391644 Издательство: Springer Рейтинг: Цена: 243800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume collects the extended abstracts of 45 contributions of participants to the Seventh International Summer School on Aggregation Operators (AGOP 2013), held at Pamplona in July, 16-20, 2013.
Автор: Balk Bert M. Название: Productivity: Concepts, Measurement, Aggregation, and Decomposition ISBN: 3030754472 ISBN-13(EAN): 9783030754471 Издательство: Springer Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book develops the theory of productivity measurement using the empirical index number approach. The final chapter is devoted to the decomposition of productivity change into the contributions of efficiency change, technological change, scale effects, and input or output mix effects.
Автор: I. Litvinchev; Vladimir Tsurkov Название: Aggregation in Large-Scale Optimization ISBN: 1461348129 ISBN-13(EAN): 9781461348122 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: When analyzing systems with a large number of parameters, the dimen- sion of the original system may present insurmountable difficulties for the analysis.
Автор: Ekkehart Schlicht Название: Isolation and Aggregation in Economics ISBN: 3642703003 ISBN-13(EAN): 9783642703003 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In order to solve a given problem, economic analysis is com- pelled to concentrate on the interaction of selected factors while disregarding a multitude of other influences. This book offers a discussion of certain central premises involved here and draws some analytical consequences. The argument is fo- cused on process analysis, i.e., on the analysis of economic processes within a given institutional setting, although certain corollaries for institutional analysis are patent. Many colleagues and students have helped me, for many years, to develop the views presented here, and it seems im- possible to trace individual influences. Thus I can only ex- press my indebtedness in a macro sense. I wish to thank the Westdeutscher Verlag for its kind per- mission to use material from my Grundlagen der okonomi- schen Analyse. The results of Chap. 4 were presented at the Econometric Society European Meeting in Pisa, 1983. Dr. W. A. MUller from Springer-Verlag has encouraged me to write this book and has been helpful in many ways.
Andreas B?rmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
Автор: Vicen? Torra; Radko Mesiar; Bernard De Baets Название: Aggregation Functions in Theory and in Practice ISBN: 3319593056 ISBN-13(EAN): 9783319593050 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition.
Автор: Bernadette Bouchon-Meunier Название: Aggregation and Fusion of Imperfect Information ISBN: 3790810487 ISBN-13(EAN): 9783790810486 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability of knowledge is imperfect.
Автор: Mishra Akansha, Kumar Amit Название: Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems ISBN: 9811569975 ISBN-13(EAN): 9789811569975 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment.
Автор: Daniela Sanchez; Patricia Melin Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation ISBN: 331928861X ISBN-13(EAN): 9783319288611 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;
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