Автор: Fuad T. Aleskerov Название: Arrovian Aggregation Models ISBN: 1441950796 ISBN-13(EAN): 9781441950796 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Aggregation of individual opinions into a social decision is a problem widely observed in everyday life.
Автор: Ekkehart Schlicht Название: Isolation and Aggregation in Economics ISBN: 3642703003 ISBN-13(EAN): 9783642703003 Издательство: Springer Рейтинг: Цена: 15372.00 р. 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.
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: Julia L. Higle; S. Sen Название: Stochastic Decomposition ISBN: 0792338405 ISBN-13(EAN): 9780792338406 Издательство: Springer Рейтинг: Цена: 20257.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. This title is suitable for researchers in mathematical optimization, including those working in telecommunications and electric power generation.
Описание: This valuable reference on projectors, generalized inverses, and SVD covers concepts numerous cutting-edge concepts and provides systematic and in-depth accounts of these ideas from the viewpoint of linear transformations of finite dimensional vector spaces.
Описание: Much of the book is devoted to exploring the wealth of ideas and results generated by thirty years of efforts to extend this result to more general classes of processes, culminating in the recent solution of several key conjectures. A large part of this unique book is devoted to the author`s influential work.
Описание: Christian Kuchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.
Автор: A.M. Wesselman Название: The Population-Sample Decomposition Method ISBN: 9401081476 ISBN-13(EAN): 9789401081474 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: L. Phlips; L.D. Taylor Название: Aggregation, Consumption and Trade ISBN: 0792320018 ISBN-13(EAN): 9780792320012 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains essays which build upon and extend Professor Houthakker`s contributions to economics in aggregation, consumption, growth and trade.
Описание: 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.
Автор: L. Phlips; L.D. Taylor Название: Aggregation, Consumption and Trade ISBN: 9401047901 ISBN-13(EAN): 9789401047906 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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