13)
Financial Modeling Applications and Data Envelopment Applications
Financial Modeling Applications and Data Envelopment Applications
ISBN: 978-1-84855-878-6, eISBN: 978-1-84855-879-3
ISSN: 0276-8976
Publication date: 13 October 2009
Citation
(2009), "Financial Modeling Applications and Data Envelopment Applications", Lawrence, K.D. and Kleinman, G. (Ed.) Financial Modeling Applications and Data Envelopment Applications (Applications of Management Science, Vol. 13), Emerald Group Publishing Limited, Leeds, p. iii. https://doi.org/10.1108/S0276-8976(2009)0000013023
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited
- Applications of management science
- Financial Modeling Applications and Data Envelopment Applications
- Copyright page
- List of contributors
- Editorial board
- Lexicographic and weighting approach to multi-criteria portfolio optimization by mixed integer programming
- Extreme mean-variance solutions: Estimation error versus modeling error
- A fuzzy programming approach to financial portfolio model
- Bankruptcy Prediction in Retail Industry Using Logistic Regression
- A multi-criteria decision model for fixed income sector allocation for endowment funds
- Recovering from delays: An analysis of airport operations using data envelopment analysis
- Using data envelopment analysis to analyze the performance of North American class I freight railroads
- Using regression and Data Envelopment Analysis (DEA) to forecast bank performance over time
- Creating an index of vulnerability to severe coastal storms along the North Shore of Boston
- Performance evaluation of universities from the students’ perspective
- Assessment of implication of competitiveness on human development of countries through data envelopment analysis and cluster analysis
- Rich and poor in Saint Louis: Performance characteristics of public schools using a Data Envelopment Analysis approach
- Sustainability assessment of venture business firms using data envelopment analysis
- Determining the relative efficiency of gynecological departments using DEA