Описание: This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA can be viewed as Data Envelopment Analytics.Chapters include a review of cross-efficiency evaluation; a case study on measuring the environmental performance of OECS countries; how to select a set of performance metrics in DEA with an application to American banks; a relational network model to take the operations of individual periods into account in measuring efficiencies; how the efficient frontier methods DEA and stochastic frontier analysis (SFA) can be used synergistically; and how to integrate DEA and multidimensional scaling.In other chapters, authors construct a dynamic three-stage network DEA model; a bootstrapping based methodology to evaluate returns to scale and convexity assumptions in DEA; hybridizing DEA and cooperative games; using DEA to represent the production technology and directional distance functions to measure band performance; an input-specific Luenberger energy and environmental productivity indicator; and the issue of reference set by differentiating between the uniquely found reference set and the unary and maximal types of the reference set.Finally, additional chapters evaluate and compare the technological advancement observed in different hybrid electric vehicles (HEV) market segments over the past 15 years; radial measurement of efficiency for the production process possessing multi-components under different production technologies; issues around the use of accounting information in DEA; how to use DEA environmental assessment to establish corporate sustainability; a summary of research efforts on DEA environmental assessment applied to energy in the last 30 years; and an overview of DEA and how it can be utilized alone and with other techniques to investigate corporate environmental sustainability questions.
Автор: Constantin Zopounidis; Panos Pardalos Название: Handbook of Multicriteria Analysis ISBN: 3642263542 ISBN-13(EAN): 9783642263545 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multicriteria analysis is a growing field in operations research and management science. This book presents recent advances in this area, including multicriteria optimization, multiattribute utility theory, outranking methods, disaggregation techniques.
Автор: Fare Rolf Et Al Название: Advances In Data Envelopment Analysis ISBN: 9814644544 ISBN-13(EAN): 9789814644549 Издательство: World Scientific Publishing Рейтинг: Цена: 11880.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data.
Автор: O` Hagan Anthony, West Mike Название: The Oxford Handbook of Applied Bayesian Analysis ISBN: 0198703171 ISBN-13(EAN): 9780198703174 Издательство: Oxford Academ Рейтинг: Цена: 11246.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bayesian Statistics is a dynamic and fast-growing area of statistical research with wide-ranging and far-reaching applications across science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of techniques and application areas.
Автор: Nikolaos S. Papageorgiou; Sophia Th. Kyritsi-Yiall Название: Handbook of Applied Analysis ISBN: 1461417112 ISBN-13(EAN): 9781461417118 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This self-contained, comprehensive handbook provides an in-depth examination of important theoretical methods and procedures in applied analysis. It includes numerous examples that demonstrate and expand upon the topics presented.
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