Last edited by Yozshusho
Wednesday, July 22, 2020 | History

11 edition of Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis found in the catalog.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

  • 278 Want to read
  • 10 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Economics, Finance, Business and Industry,
  • Public Finance,
  • Business & Economics,
  • Business / Economics / Finance,
  • Business/Economics,
  • Econometrics,
  • Operations Research,
  • Business & Economics / Operations Research,
  • Data Envelopment Analysis,
  • benchmarking,
  • data,
  • efficiency

  • Edition Notes

    ContributionsJoe Zhu (Editor), Wade D. Cook (Editor)
    The Physical Object
    FormatHardcover
    Number of Pages334
    ID Numbers
    Open LibraryOL9358400M
    ISBN 100387716068
    ISBN 109780387716060

    In: Zhu J., Cook W.D. (eds) Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Springer, Boston, MA. doi: /_6. This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research.

      Discover Book Depository's huge selection of Wade Cook books online. Free delivery worldwide on over 20 million titles. Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Joe Zhu. 01 Aug Hardback. Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Joe Zhu.   [PDF] Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Gaejaisa. Microsoft Excel Data Analysis and Business Modeling [Read] Online. [Read Book] Microsoft Excel Data Analysis and Business Modeling EBook. Marline. Trending. 13 Reasons Why.

    Discount prices on books by Wade Cook, including titles like Turbo Money. Click here for the lowest price. [21] J. Sarkis, "Preparing Your Data for DEA," Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, Springer, pp. ,


Share this book
You might also like
Netherlands (Foreign Exchange)

Netherlands (Foreign Exchange)

Designing exhibitions

Designing exhibitions

Handbook of mineral exploration and ore petrology

Handbook of mineral exploration and ore petrology

Summary guide to the Pennsylvania state archives in the Division of Public Records

Summary guide to the Pennsylvania state archives in the Division of Public Records

Nepal.

Nepal.

Some reminiscences of William Michael Rossetti.

Some reminiscences of William Michael Rossetti.

story of biology

story of biology

Bond County, Illinois, marriage records, 1851-1877

Bond County, Illinois, marriage records, 1851-1877

Rice production in Nigeria

Rice production in Nigeria

The Black Students Guide to Colleges

The Black Students Guide to Colleges

Managing communications.

Managing communications.

Examinations for certificates of competency in the Merchant Navy

Examinations for certificates of competency in the Merchant Navy

Treasury of New England folklore

Treasury of New England folklore

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis Download PDF EPUB FB2

In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance.

DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems.

It is a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) software and other data aspects of modeling complex DEA problems.

This book by Zhu and Cook will deal with the micro aspects of handling and modeling data issues in modeling DEA problems.

DEA's use has grown with its capability of dealing with complex "service. Request PDF | Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis | In a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Authors: Joe Zhu, Wade D. Cook. Categories: Business & Economics. Type: BOOK - Published: - Publisher: Springer Science & Business Media.

Get Books. In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful. from book Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis (pp) PCA-DEA Chapter June with Reads.

Zhu and W.D. Cook, Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, Springer, Boston, ISBN: ISBN About this Book TABLE OF CONTENTS Data Irregularities And Structural Complexities In Dea.- Rank Order Data In Dea.- Interval And Ordinal Data.

This paper proposes an application of data envelopment analysis (DEA) to measure the value of customers. In order to distinguish between expectations and needs of profitable and unprofitable customers and to allocate marketing investments among them, customers are compared with each other and ranked in a customer value pyramid.

To this end, we use a combination of the Banker, Charnes. Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis; The Gift of Rain; Call Me Elle: Volume II (A Garden Walled Around Trilogy Book 2) A Stake in the Outcome: Building a Culture of Ownership for the Long-Term Success of.

Joseph Sarkis, “Preparing Your Data for DEA,” in Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis Edited by Joe Zhu and Wade D.

Cook, Chap pp. Springer, Berlin, Abstract. Over the recent years, we have seen a notable increase in interest in data envelopment analysis (DEA) techniques and applications.

Basic and advanced DEA models and techniques have been well documented in the DEA literature. ISBN: OCLC Number: Description: viii, pages: illustrations ; 25 cm: Contents: Data irregularities and structural complexities in DEA / Wade D.

Cook and Joe Zhu --Rank order data in DEA / Wade D. Cook and Joe Zhu --Interval and ordinal data / Yao Chen and Joe Zhu --Variables with negative values in DEA / Jesús T. Pastor and José L. Ruiz --Non. Get this from a library.

Modeling data irregularities and structural complexities in data envelopment analysis. [Joe Zhu; Wade D Cook;] -- DEA is computational at its core and this book will be one of several books that we will look to publish on the computational aspects of DEA.

This book by Zhu and Cook will deal with the micro. Data Envelopment Analysis: History, Models, and Interpretations William W.

Cooper, Lawrence M. Seiford, Joe Zhu. Returns to Scale in DEA Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis.

Cook, Wade D. Zhu / Cook, Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, 1st ed. Softcover of orig., Buch. Save on Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis by. Shop your textbooks from Jekkle today. In a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance.

It has been successfully applied. One of the primary issues on data envelopment analysis (DEA) models is the reduction of weights flexibility. There are literally several studies to determine common weights in DEA but none of them considers uncertainty in data.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, 17 (), pp. Data envelopment analysis (DEA) is a mathematical programming approach for evaluating performance of decision making units (DMUs) that convert multiple inputs into multiple outputs.

Conventional DEA models assume real-valued inputs and outputs. However, there are many occasions in which some inputs and/or outputs must only take integer values. Data Envelopment Analysis: A Handbook of Modeling Internal Structure and Network - Ebook written by Wade D.

Cook, Joe Zhu. Read this book using Google Play Books. Introduction. Measuring efficiency has become a key indicator to control and plan the performance of production units.

The dissemination of quantitative methods to assess this measure and to assist managerial decision‐making has been especially driven by the development of Data Envelopment Analysis (DEA). Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis Nemota, J., and Gota, M.

(). “Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies.” () Network DEA. In: Zhu J., Cook W.D. (eds) Modeling Data Irregularities and.In deaR: Conventional and Fuzzy Data Envelopment Analysis.

Description Usage Arguments Note Author(s) References See Also Examples. View source: R/model_basic.R. Description. Solve input and output oriented basic DEA models (envelopment form) under constant (CCR DEA model), variable (BCC DEA model), non-increasing, non-decreasing or generalized returns to scale.Joe Zhu (eds.): free download.

Ebooks library. On-line books store on Z-Library | B–OK. Download books for free. Find books.