Stochastic Benchmarking
Stochastic Benchmarking

Author: Alireza Amirteimoori

Publisher: Springer Nature

Published: 2021-12-11

Total Pages: 154

ISBN-13: 3030898695

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This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book’s main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations. This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.

Formal Methods and Stochastic Models for Performance Evaluation
Formal Methods and Stochastic Models for Performance Evaluation

Author: András Horváth

Publisher: Springer

Published: 2006-06-20

Total Pages: 246

ISBN-13: 3540353658

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This book constitutes the refereed proceedings of the Third European Performance Engineering Workshop, EPEW 2006, held in Budapest, Hungary in June 2006. The 16 revised full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on stochastic process algebra, workloads and benchmarks, theory of stochastic processes, formal dependability and performance evaluation, as well as queues, theory and practice.

Benchmarking with DEA, SFA, and R
Benchmarking with DEA, SFA, and R

Author: Peter Bogetoft

Publisher: Springer Science & Business Media

Published: 2010-11-19

Total Pages: 362

ISBN-13: 1441979611

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This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.

Performance Benchmarking
Performance Benchmarking

Author: Peter Bogetoft

Publisher: Springer Science & Business Media

Published: 2013-01-04

Total Pages: 270

ISBN-13: 1461460433

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"In this book, Peter Bogetoft - THE expert on the theory and practice of benchmarking - provides an in–depth yet very accessible and readable explanation of the best way to do benchmarking, starting from the ground up." Rick Antle William S. Beinecke Professor of Accounting, Yale School of Management CFO, Compensation Valuation, Inc. "I highly recommend this well-written and comprehensive book on measuring and managing performance. Dr. Bogetoft summarizes the fundamental mathematical concepts in an elegant, intuitive, and understandable way." Jon A. Chilingerian Professor, Brandeis University and INSEAD "Bogetoft gives in his book Performance Benchmarking an excellent introduction to the methodological basis of benchmarking." Christian Parbøl Director, DONG Energy "This book is the primer on benchmarking for performance management." Albert Birck Business Performance Manager, Maersk Oil "This excellent book provides a non technical introduction for performance management." Misja Mikkers, Director, Dutch Health Care Authority "With this very well written and comprehensive introduction to the many facets of benchmarking in hand, organizations have no excuse for not applying the best and cost effective benchmarking methods in their performance assessments." Stig P. Christensen Senior R&D Director, COWI

A Benchmark Approach to Quantitative Finance
A Benchmark Approach to Quantitative Finance

Author: Eckhard Platen

Publisher: Springer Science & Business Media

Published: 2006-10-28

Total Pages: 704

ISBN-13: 3540478566

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A framework for financial market modeling, the benchmark approach extends beyond standard risk neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk modeling. This book presents the necessary mathematical tools, followed by a thorough introduction to financial modeling under the benchmark approach, explaining various quantitative methods for the fair pricing and hedging of derivatives.

Stochastic Optimization
Stochastic Optimization

Author: Johannes Schneider

Publisher: Springer Science & Business Media

Published: 2007-08-06

Total Pages: 551

ISBN-13: 3540345604

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This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.

The Economics of Benchmarking
The Economics of Benchmarking

Author: Thijs ten Raa

Publisher: Red Globe Press

Published: 2009

Total Pages: 136

ISBN-13:

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The author presents the techniques and theory of benchmarking to explain how performance indices and rankings are developed and used to improve efficiency, productivity and profitability. The only software required is Microsoft Excel.

Econometric Models in Marketing
Econometric Models in Marketing

Author: P.H. Franses

Publisher: Elsevier

Published: 2002-02-28

Total Pages: 362

ISBN-13: 0762308575

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In the 16th Edition of "Advances in Econometrics", we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing. Given the applied nature of marketing research, measurement and quantitative issues arise frequently. Quantitative marketing tends to rely heavily upon statistics and econometrics. However, quantitative marketing can place a different emphasis upon the problem than econometrics, even when using the same techniques. A basic difference between quantitative marketing research and econometrics tends to be the pragmatism that is found in many marketing studies. Another important motivating factor in marketing research is the type of data that is available. Applied econometrics tends to rely heavily on data collected by governmental organizations. In contrast, marketing often uses data collected by private firms or marketing research firms. Observational and survey data are quite similar to those used in econometrics. However, the remaining types of data, panel and transactional, can look quite different from what may be familiar to econometricians. The automation and computerization of much of the sales transaction process leaves an audit trail that results in huge quantities of data. A popular area of study is the use of scanner data collected at the checkout stand using bar code readers. Methods that work for small data sets may not work well in these larger data sets. In addition, new sources of data, such as clickstream data from a web site, will offer new challenges. This volume addresses these and related issues.

Sewage and Biomass from Wastewater to Energy
Sewage and Biomass from Wastewater to Energy

Author: Inamuddin

Publisher: John Wiley & Sons

Published: 2024-07-30

Total Pages: 452

ISBN-13: 1394204310

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Written and edited by a team of industry experts, this exciting new volume covers clean energy production from sewage and biomass while achieving a zero-waste strategy. Wastewater treatment plants are critical in protecting both the environment’s resources and human health. A wastewater treatment plant’s technological system focuses not only on the effectiveness of the treatment but on the costs and energy consumption of the entire system. Municipal wastewater treatment produces a significant amount of sewage sludge all over the world. The majority of this sludge’s dry matter content is made up of organic compounds which are not toxic, and they consist of both primary and secondary (microbiological) sludge. There is also a substantial quantity of inorganic substances in the sludge, along with a small quantity of toxic matter. Also, various raw sewage treatment options can include energy production (heat, electricity, or biofuel) to reduce dependence on external energy supply during treatment. The most important options used for energy production from sewage and biomass can use the following approaches: anaerobic digestion, co-digestion, incineration with energy recovery, co-incineration, pyrolysis, gasification, supercritical (wet) oxidation, and hydrolysis. Generally, these processes or methods are cost-effective, but they can still have some setbacks related to the nature of the methods or the raw material used for conversion. There are also operating conditions to comply with to get a successful outcome. This book combines information from many disciplines related to wastewater treatment technologies to show how the circular economy approach can be used to achieve zero waste and produce energy that can be useful for plants and communities. This approach focuses on clean technologies for green energy resources such as biohydrogen, biofuels, and biogas from biomass and sewage sludge for zero waste production. This is aimed to also integrate the issue of energy demand and the one of energy production.

Stochastic Local Search
Stochastic Local Search

Author: Holger H. Hoos

Publisher: Morgan Kaufmann

Published: 2005

Total Pages: 678

ISBN-13: 1558608729

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Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application.