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There is a growing interest in the literature for adaptive Markov Chain Monte Carlo methods based on sequences of random transition kernels {Pn} where the kernel Pn is allowed to have an invariant d...
The aim of the article was to determine the extent of the negative impact of HIV/AIDS in the workplace on firm efficiency and firm competitiveness. The South African manufacturing sector was used as a...
The central aim of this article is to demonstrate the development and characteristics of an inter-institutional relationship with a view to perfecting existing technology in reducing the consumption o...
Sometimes organizations described as benevolent, focusing on stable procedures and cordial relations are regarded as examples of collective indolence and likely to be out-competed by aggressive, merci...
In the paper, a sequential confidence set based on an estimation process of a multivariate parameter is constructed. Under the assumption that the estimation process scaled by an increasing positiv...
Asymptotic Efficiency of Method of Moments Estimators Under Null Intercept Measurement Error Regression Models。
Project-based organizations received increasing attention in recent years as an emerging organizational form to integrate specialized intellectual resources. A typical problem with these structures is...
The aim of the paper is to introduce a human resource efficiency model in order to rank the most important human resource driving forces for project management best practices. The results of the model...
Abstract: In nonpoint source pollution problems, the regulator does not observe each polluter's individual emission, which prevents him from using the conventional polic nstruments. Therefore new ...
Using detailed trader surveys in Benin, Madagascar, and Malawi, this paper investigates the presence of increasing returns in agricultural trade. After analyzing margins, costs, and value added, w...
We study a class of adaptive Markov Chain Monte Carlo (MCMC) processes which aim at behaving as an ``optimal'' target process via a learning procedure. We show, under appropriate conditions, that the ...
This paper is concerned with parameter estimation in the presence of nuisance parameters. Usually, an estimator with known nuisance parameters is better than that with unknown nuisance parameters in r...
Barndorff-Nielsen and Cox (1994, p.319) modify an estimative prediction limit to obtain an improved prediction limit with better coverage properties. Kabaila and Syuhada (2008) present a simulation-...
Economic analyses of bureaucracy have charged that public production tends to be more costly than optimal;’ the extra cost may be due to either technological or allocational ineuficiency.2 Conversel...
The role of the critic is always enjoyable when it affords an opportunity to set the record straight. I am afraid, however, that no such opportunity is afforded here, for Professor Wagner has himsel...

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