✦ LIBER ✦

Improving discrimination in data envelopment analysis: some practical suggestions

✍ Scribed by Victor V. Podinovski; Emmanuel Thanassoulis

Book ID: 106505960
Publisher: Springer
Year: 2007
Tongue: English
Weight: 242 KB
Volume: 28
Category: Article
ISSN: 0895-562X
DOI: 10.1007/s11123-007-0042-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Improving the discrimination of data env

Improving the discrimination of data envelopment analysis models in multiple time periods

✍ M. R. Alirezaee; M. Afsharian 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 299 KB

Improving envelopment in Data Envelopmen

Improving envelopment in Data Envelopment Analysis under variable returns to scale

✍ Emmanuel Thanassoulis; Mika Kortelainen; Rachel Allen 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 423 KB

Establishing the “practical frontier” in

Establishing the “practical frontier” in data envelopment analysis

✍ Taraneh Sowlati; Joseph C. Paradi 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 237 KB

Efficiency improvement in data envelopme

Efficiency improvement in data envelopment analysis

✍ Chiang Kao 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 462 KB

Review of Methods for Increasing Discrim

Review of Methods for Increasing Discrimination in Data Envelopment Analysis

✍ Lidia Angulo-Meza; Marcos Pereira Estellita Lins 📂 Article 📅 2002 🏛 Springer US 🌐 English ⚖ 114 KB

Some practical issues in binary data ana

Some practical issues in binary data analysis

✍ D. Collett; K. Stepniewska 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 130 KB 👁 2 views

Three topics motivated by practical problems where the response variable is binary are described and illustrated. When a number of di!erent explanatory variables are measured on each individual, a parsimonious model may be needed to predict the response of a future patient, or in selecting the varia