Zobrazeno 1 - 10
of 215
pro vyhledávání: '"John M. Gleason"'
Autor:
Williams, John W.
Publikováno v:
The International Lawyer, 1983 Jul 01. 17(3), 605-609.
Externí odkaz:
https://www.jstor.org/stable/40706725
Autor:
Simmons, H. A.
Publikováno v:
National Mathematics Magazine, 1944 Mar 01. 18(6), 253-254.
Externí odkaz:
https://www.jstor.org/stable/3029883
From left to right: John M. Gleason, National Director of the Boys' Clubs of America; Mrs. Skinner of United Fund; and William J. Lynch, Executive Director of the Boys' Clubs of Boston.
Externí odkaz:
http://hdl.handle.net/2047/d20161958
From left to right: John M. Gleason, National Director of the Boys' Clubs of America; Mrs. Skinner of United Fund; and William J. Lynch, Executive Director of the Boys' Clubs of Boston.
Externí odkaz:
http://hdl.handle.net/2047/d20161808
Publikováno v:
SSRN Electronic Journal.
This paper examines transport modes that have employed Data Envelopment Analysis (DEA). It ascertains whether key DEA specifications necessary for estimating valid efficiency scores are present, the impact on the scores when they are not, and methods
Autor:
Darold T. Barnum, Surrey M. Walton, Sonali Tandon, Matthew G. Karlaftis, John M. Gleason, Karen L. Shields, Glen T. Schumock
Publikováno v:
Journal of Applied Statistics. 39:815-828
This paper describes a statistical method for estimating data envelopment analysis (DEA) score confidence intervals for individual organizations or other entities. This method applies statistical panel data analysis, which provides proven and powerfu
Publikováno v:
Journal of the Operational Research Society. 61:1548-1555
We demonstrate a methodology for estimating, with a specified probability, the interval within which the true DEA efficiency of an individual Decision Making Unit occurs. With this procedure, decisions based on DEA scores are made under conditions of
Autor:
Darold T. Barnum, John M. Gleason
Publikováno v:
Applied Economics Letters. 17:627-632
This article addresses Data Envelopment Analysis (DEA) efficiency analysis in organizations with multiple production processes. It shows how to measure the impact on an organization's overall efficiency of (a) inefficient and superefficient subunits
Publikováno v:
Applied Economics. 41:3319-3326
This article demonstrates a methodology using panel data analysis to estimate confidence intervals for the data envelopment analysis efficiency of individual decision making units (DMUs), and the statistical significance of trends in individual DMU e
Autor:
Darold T. Barnum, John M. Gleason
Publikováno v:
Applied Economics. 40:2305-2311
In Data Envelopment Analysis (DEA), the two-stage method is a popular procedure for accounting for exogenous influences on efficiency. With the conventional two-stage method, a DEA is first conducted using only traditional (endogenous) inputs and out