In this study, the two-machine bicriteria flowshop scheduling problem is addressed. The objective is to minimize a weighted sum of total flowtime and makespan. Different branch-and-bound algorithms have already appeared ...
Novikov, A; Christensen, S; Irle, A(Taylor and Francis, 2011-01)
Optimal stopping problems form a class of stochastic optimization problems that has a wide range of applications in sequential statistics and mathematical finance. Here we consider a general optimal stopping problem with ...
Elashoff, M; Ryan, LM(American Statistical Association, 2004-01)
This article presents an algorithm for accommodating missing data in situations where a natural set of estimating equations exists for the complete data setting. The complete data estimating equations can correspond to the ...
The analysis of data arising from environmental health studies which collect a large number of measures of exposure can benefit from using latent variable models to summarize exposure information. However, difficulties ...
Yeh, W; Ho, H; Chen, Y; Yeh, Y(I C I C International, 2012-01)
Evaluating network reliability is an important topic in the planning, designing and control of network systems. Modications are common for network expansion or reinforcement evaluation and planning. A modied network is an ...
We consider in this article the arbitrage free pricing of double knock-out barrier options with payoffs that are arbitrary functions of the underlying asset, where we allow exponentially time-varying barrier levels in an ...
Many business decision problems involve multiple objectives and can thus be described by multiple objective linear programming (MOLP) models. When a MOLP problem is being formulated, the parameters of objective functions ...
In this study, a special situation involving a computationally di$cult #owshop scheduling problem is discussed. The objective of this problem is to minimize a weighted combination of job #owtime and schedule makespan. An ...
Breast cancer is one of the leading causes of death among the women in many parts of the world. In 2007, approximately 178,480 women in the United States have been found to have invasive breast cancer. In this paper, we ...
A new method for pricing lookback options (a.k.a.hindsightoptions) is presented, which simplifies the derivation of analytical formulas for this class of exotics in the Black-Scholes framework. Underlying the method is the ...
The problem of testing a dose-response relationship in the presence of exchangeably correlated binary data has been addressed using a variety of models. Most commonly used approaches are derived from likelihood or generalized ...
Molenberghs, G; Ryan, LM(John Wiley & Sons Ltd, 1999-01)
This paper focuses on the analysis of clustered multivariate binary data that arise from developmental toxicity studies. In these studies, pregnant mice are exposed to chemicals to assess possible adverse effects on ...
Kth-best approach is one of the three popular and workable approaches for linear bilevel programming. However, it could not well deal with a linear bilevel programming problem when the constraint functions at the upper-level ...
Kuhn-Tucker approach has been applied with remarkable success in linear bilevel programming (BLP). However, it still has some extent unsatisfactory and incomplete. One principle challenges is that it could not well handle ...
This paper investigates two variants of a Keynesian model of monetary growth with sluggish price and quantity adjustments. The first model integrates the real growth dynamics of Rose's employment cycle, an inflationary ...
Customer classification is one of the major tasks in customer relationship management. Customers often have both static characteristics and dynamic behavioral features. Using both kinds of data to conduct comprehensive ...
The value of a census cannot be overstated, given that no other data resource provided such detailed information about the population. Further, censuses are often the only historical data source to map out chenge over time ...
Cigarette smoking and poor glycemic control are risk factors for diabetic nephropathy in type 1 diabetes. However, the specifics of the relation of these risk factors to the onset of this complication have not been elucidated. ...