Linear bilevel programming theory has been studied for many years by a number of researchers from different aspects, yet it still remains to some extent unsatisfactory and incomplete. The main challenge is how to solve a ...
In this paper distributions are identified which suitably fit log-returns of the world stock index when these are expressed in units of different currencies. By searching for a best fit in the class of symmetric generalized ...
The structure of the decimal expansion of the Golden Ratio is examined in decimal and modular forms through the use of various properties of the Fibonacci numbers, particularly the roots of the associated polynomial and ...
When simulating discrete-time approximations of solutions of stochastic differential equations (SDEs), in particular martingales, numerical stability is clearly more important than some higher order of convergence. ...
Conditions for the validityo f the Hoel-Walburga nd Peto tests, which compare dose groups with respect to tumour prevalence,a re replaced by a more generalc ondition, representativenesAs. large carcinogenicityex perimentp ...
A financial market model where agents trade using realistic combinations of simple (i.e., finite combinations of buy-and-hold) no-short-sales strategies is considered. Minimal assumptions are made on the discounted ...
Spatial inequalities related to the choice of delivery care have not been studied systematically in Sub-Saharan Africa where maternal and perinatal health outcomes continue to worsen despite a range of safe motherhood ...
Whitney, Melissa; Ryan, Louise; Walkowiak, Jens(Taylor & Francis Inc., 2013)
Bayesian model averaging (BMA) is a powerful technique to address model selection uncertainty and recent computational advances have led to a proliferation of usage. BMA methods are of particular interest in environmental ...
This article discusses the growing interest in the use of biomarker data in environmental health research and considers some of the challenging statistical issues that arise. We specify a modeling framework that links ...
J. R. Meginniss modified expected utility to accommodate a concept of the utility of gambling that led to a representation composed of a utility expectation term plus an entropy of degree ? term. He imposed several apparently ...
The EM algorithmis a popular approach to maximuml ikelihoode stimationb ut has not been muchu sed forp enalizedl ikelihoodo r maximuma posteriori estimation.T his paper discussesp ropertieos f theE M algorithmin suchc ...
Despite the widely documented benefits of exercise, very little is known about how individuals make the decision on exercise. In particular, the decision on the intensity of exercise has attracted only one US study to ...
The sampling acceptance scheme with censoring is one of the important life inspection problems. In this article, a
general model of sampling acceptance plan for the exponential distribution with exponentially distributed ...
In this paper we establish the form of the optimal paired comparison design when there are k attributes, each with two levels, for testing for main effects, for main effects and two factor interactions and for main effects ...
In this paper we establish the form of the optimal design for choice experiments in which attributes need not have the same number of levels for testing main effects only, when there are k attributes, and all choice sets ...
Decision makers often face the need of performance guarantee with some sufficiently high probability. Such problems can be modelled using a discrete time Markov decision process (MDP) with a probability criterion for the ...
Inthis paper, we establish the optimal size of the choice sets in generic choice experiments for asymmetric attributes when estimating main effects only. We give an upper bound for the determinant of the information matrix ...