Ebook Data Envelopment Analysis: Modeling Operational Processes And Measuring Productivity, by Wade Cook, Joe Zhu
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Data Envelopment Analysis: Modeling Operational Processes And Measuring Productivity, by Wade Cook, Joe Zhu
Ebook Data Envelopment Analysis: Modeling Operational Processes And Measuring Productivity, by Wade Cook, Joe Zhu
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The current book introduces the methodology of data envelopment analysis (DEA). DEA uses mathematical programming techniques and models to evaluate the performance of peer units (e.g., bank branches, hospitals and schools) in terms of multiple inputs used and multiple outputs produced. DEA examines the resources available to each unit and monitors the "conversion" of these resources (inputs) into the desired outputs. The book gives an overview of the various models from the literature, and the geometric interpretations provided permit the reader to go beyond the mathematics. Various topics are covered relating to important practical considerations. These include dealing with time series data as well as methods for restricting multipliers. The book will thus provide students, researchers and practitioners with a solid understanding of the methodology, its uses and its potential.
- Sales Rank: #3126202 in Books
- Brand: Brand: CreateSpace Independent Publishing Platform
- Published on: 2008-01-24
- Dimensions: 10.00" h x .60" w x 8.00" l,
- Binding: Paperback
- 262 pages
- Used Book in Good Condition
Most helpful customer reviews
3 of 3 people found the following review helpful.
A great textbook for DEA
By Mark
I have several books on DEA. This is the best text book for DEA. The models are well explained and I was able to learn the basic DEA models and their advances by myself. The spreadsheet modeling part is also very useful -- I can build and solve the models. If you are new to DEA, this is definitely the book you want to have.
2 of 2 people found the following review helpful.
EXCELLENT DEA BOOK
By G. Gregoriou
This timely book both world experts in the field of DEA examines the latest and up to date techniques in this area in terms of measuring productivity. This book should be on the bookshelves of everyone in a position to examine the productivity of their organizations especially in today's environment.
Greg N. Gregoriou, PhD
Professor of Finance
State University of New York (Plattsburgh)
1 of 1 people found the following review helpful.
Useful, but contains many typos
By Andreas Udbye
The book is useful for explaining how to enter models into Excel's Solver. Although apparently easy for non-mathematicians, it omits explanations of many terms (e.g. "the non-Archimedian e" on page 61). Several errors (typos) in the text and formulas made me wonder if they were in a rush to get this printed (e.g. the two last lines on page 53, the random "Mitsubishi" on page 41, the formulas for cell D22 on pages 41 and 65, and several others). The link they provide to the book's Excel files is a bad link.
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