Progress and Regress of Time Dependent Data and Application in Bank Branch
To evaluate each decision making unit having time dependent inputs and outputs data, a new method has been developed and reported here. This method uses the Malmquist productivity index, and is a very simple function based on Cubic Spline function to determine the progress and regress of that unit....
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/703969 |
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author | F. Hosseinzadeh Lotfi Z. Taeb S. Abbasbandy |
author_facet | F. Hosseinzadeh Lotfi Z. Taeb S. Abbasbandy |
author_sort | F. Hosseinzadeh Lotfi |
collection | DOAJ |
description | To evaluate each decision making unit having time dependent inputs and outputs data, a new method has been developed and reported here. This method uses the Malmquist productivity index, and is a very simple function based on Cubic Spline function to determine the progress and regress of that unit. To show the capability of this developed method, the data of 9 branches of a commercial bank has been used, evaluated, and reported. |
format | Article |
id | doaj-art-4e0b58f795c447ae873f72f587c886ac |
institution | Kabale University |
issn | 1110-757X 1687-0042 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Applied Mathematics |
spelling | doaj-art-4e0b58f795c447ae873f72f587c886ac2025-02-03T01:07:09ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/703969703969Progress and Regress of Time Dependent Data and Application in Bank BranchF. Hosseinzadeh Lotfi0Z. Taeb1S. Abbasbandy2Department of Mathematics, Islamic Azad University, Science & Research Branch, IranDepartment of Mathematics, Islamic Azad University, Science & Research Branch, IranDepartment of Mathematics, Islamic Azad University, Science & Research Branch, IranTo evaluate each decision making unit having time dependent inputs and outputs data, a new method has been developed and reported here. This method uses the Malmquist productivity index, and is a very simple function based on Cubic Spline function to determine the progress and regress of that unit. To show the capability of this developed method, the data of 9 branches of a commercial bank has been used, evaluated, and reported.http://dx.doi.org/10.1155/2014/703969 |
spellingShingle | F. Hosseinzadeh Lotfi Z. Taeb S. Abbasbandy Progress and Regress of Time Dependent Data and Application in Bank Branch Journal of Applied Mathematics |
title | Progress and Regress of Time Dependent Data and Application in Bank Branch |
title_full | Progress and Regress of Time Dependent Data and Application in Bank Branch |
title_fullStr | Progress and Regress of Time Dependent Data and Application in Bank Branch |
title_full_unstemmed | Progress and Regress of Time Dependent Data and Application in Bank Branch |
title_short | Progress and Regress of Time Dependent Data and Application in Bank Branch |
title_sort | progress and regress of time dependent data and application in bank branch |
url | http://dx.doi.org/10.1155/2014/703969 |
work_keys_str_mv | AT fhosseinzadehlotfi progressandregressoftimedependentdataandapplicationinbankbranch AT ztaeb progressandregressoftimedependentdataandapplicationinbankbranch AT sabbasbandy progressandregressoftimedependentdataandapplicationinbankbranch |