نتایج جستجو برای: stochastic nonparametric envelopment of data

تعداد نتایج: 21333675  

2015
Xueming Luo Naveen Donthu

While it is widely believed that advertising media spending may not be optimal or efficient, it is not easy to measure the inefficiency, or the potential loss of sales due to inefficient ad spending. Advertising media spending efficiency needs to be measured and benchmarked. Here two approaches are presented and compared to evaluate top 100 advertisers’ media spending inefficiency. The two meth...

Journal: :hepatitis monthly 0
ali kabir department of epidemiology, faculty of public health, shahid beheshti university of medical sciences, center for educational research in medical sciences, tehran university of medical sciences, ir iran +98-2144468645, [email protected] ; department of epidemiology, faculty of public health, shahid beheshti university of medical sciences, center for educational research in medical sciences, tehran university of medical sciences, ir iran +98-2144468645, [email protected]

2002
Jati K. Sengupta

Production and cost frontiers of a firm in an industry are directly affected by the uncertainty of market demand and the uncertainty of input availability. The nonparametric approach of data envelopment analysis is generalized here in both static and dynamic directions by incorporating these uncertainties.

Journal: :Frontiers in artificial intelligence and applications 2022

We propose a novel nonparametric approach for estimating the production frontier based on data-fitting technique. The proposed allows stochastic noise and provides decision-makers with general flexible estimation procedure to support facilitate decision-making process in context. A major feature of is that completely easy implement. Similar other existing approaches, our results an estimate pie...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد گرمسار - دانشکده زبانهای خارجی 1389

previous studies have aimed at testing a hypothesis but the present study is data-first research in which researcher tries to form a theory from data rather than the use of data to test a hypothesis. this study aims at exploring teachers perceptions of the strengths and weaknesses of the current syllabus for college preparatory course. eight experienced teachers were selected to collect data du...

Journal: :Operations Research 2010
Timo Kuosmanen Andrew L. Johnson

Data Envelopment Analysis (DEA) is known as a nonparametric mathematical programming approach to productive efficiency analysis. In this paper we show that DEA can be alternatively interpreted as nonparametric least squares regression subject to shape constraints on frontier and sign constraints on residuals. This reinterpretation reveals the classic parametric programming model by Aigner and C...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

Journal: :Int. J. Systems Science 1998
Jati K. Sengupta

New types of characterization of Pareto efficiency based on data envelopment analysis are extended here in several new directions involving allocative efficiency and stochastic filtering methods.

Azadeh Saki, Hamed Tabesh, Samira Mardaniyan,

In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation. If we have some assumptions for such normality for response variable, we could use it. In this paper we propose a nonparametric regression that does not have normality assumption for response variable and we focus ...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2018

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