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  • Produktbild: Introduction to Data Envelopment Analysis and Its Uses
  • Produktbild: Introduction to Data Envelopment Analysis and Its Uses
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Introduction to Data Envelopment Analysis and Its Uses With DEA-Solver Software and References

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Beschreibung

Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References has been carefully designed by the authors to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. The authors have been involved...

Beschreibung

Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References has been carefully designed by the authors to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. The authors have been involved in DEA's development from the beginning. William Cooper (with Abraham Charnes and Edwardo Rhodes) is a founder of DEA. Lawrence Seiford and Kaoru Tone have been actively involved as researchers and practitioners from its earliest beginnings. All have been deeply involved in uses of DEA in practical applications as well as in the development of its basic theory and methodologies. The result is a textbook grounded in authority, experience and substance.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.11.2005

Abbildungen

XXXIV, 354 p. 67 illus. With online files/update.

Verlag Springer Us

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.11.2005

Abbildungen

XXXIV, 354 p. 67 illus. With online files/update.

Verlag Springer Us
Seitenzahl

354

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

593 g

Auflage

2006

Sprache

Englisch

ISBN

978-0-387-28580-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Introduction to Data Envelopment Analysis and Its Uses
  • Produktbild: Introduction to Data Envelopment Analysis and Its Uses
  • General Discussion.- The Basic CCR Model.- The CCR Model and Production Correspondence.- Alternative Dea Models.- Returns To Scale.- Models with Restricted Multipliers.- Discretionary, non-Discretionary and Categorical Variables.- Allocation Models.- Data Variations.- Super-Efficiency Models.