Data Science and Productivity Analytics - Brossura

Brossura

ISBN 10: 3030433854 ISBN 13: 9783030433857

Casa editrice: Springer, 2020

Riassunto

Chapter 1. Data Envelopment Analysis and Big Data: Revisit with a Faster Method.- Chapter 2. Data Envelopment Analysis (DEA): Algorithms, Computations, and Geometry.- Chapter 3. An Introduction to Data Science and Its Applications: an Introduction to Data Science and Its Applications.- Chapter 4. Identification of Congestion in DEA.- Chapter 5. Data Envelopment Analysis and Non-Parametric Analysis.- Chapter 6. The Measurement of Firms' Efficiency Using Parametric Techniques.- Chapter 7. Fair Target Setting for Intermediate Products in Two-Stage Systems With Data Envelopment Analysis.- Chapter 8. Fixed Cost and Resource Allocation Considering Technology Heterogeneity in Two-Stage Network Production Systems.- Chapter 9.Efficiency Assessment of Schools Operating in Heterogeneous Contexts: A Robust Nonparametric Analysis Using Pisa 2015.- Chapter 10. A DEA Analysis in Latin-American Ports: Measuring the Performance of Guayaquil Contecon Port.- Chapter 11. Effects of Locus of Control on Bank's Policy - a Case Study of a Chinese State Owned Bank.- Chapter 12. A Data Scientific Approach to Measure Hospital Productivity.- Chapter 13. Environmental Application of Carbon Abatement Allocation by Data Envelopment Analysis.- Chapter 14. Pension Funds and Mutual Funds Performance Measurement With a New DEA (Mv-DEA) Model Allowing for Missing Variables.- Chapter 15. Sharpe Portfolio Using a Cross-Efficiency Evaluation.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030433854
• ISBN 13: 9783030433857
• Rilegatura: Paperback
• Contatto del produttore: non disponibile