the statistical analysis of spatial data is usually done under gaussian assumption for the underlying random field model. when this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. one of the crucial problems in this setting is specifying the block sizes. in this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...

empirical studies have shown that the size distribution of firms can be described as a lognormal or pareto distribution. however, these studies have focused on developed countries and little attention has been devoted to developing countries. using the variable of number of employees as a measure of firm size, this paper investigates the shape of firm size distribution in the food & beverages i...

This paper presents a new model of two-echelon periodic supply vessel planning problem with time windows mix of facility location (PSVPTWMFL-2E) in an offshore oil and gas industry. The new mixed-integer nonlinear programming (MINLP) modelconsists ofa fleet composition problem and a location-routing problem (LRP). The aim of the model is to determine the size and type of large vessels in the fi...

This article considers the problem of patent licensing in a Cournot oligopoly under a class of general demand functions. We consider two cases, the case where the innovator is an outsider and the one where it is one of the incumbent firms. The licensing policies considered are upfront fees, royalties and combinations of the two. It is shown that (i) for generic values of magnitudes of the innov...

firm size and its impact on the firm performance examined in all of economics historical periods from different point of view. meanwhile, productivity is one the most important performance index for each firm, therefore so many studies tries to survey firm size impact on it. in iran also, economics literature replete with productivity studies but the impact of size on it rarely seen between the...

The main aim of this study, introduce a model todetermine the optimal values of the index value to minimize thetotal expected cost index and also the best decision making inselecting the industry and the region for investment by investors.For this purpose, the technique of linear programming to determinethe optimal values of the index value is used. Finally, FuzzyTOPSIS technique to prioritize ...