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We consider a network of sensors that measure the intensities of a complex plume composed of multiple absorption–diffusion source components. We address the problem of estimating the plume parameters, including the spatial and temporal source origins and the parameters of the diffusion model for...
In this article, we consider two discrete‐time risk models, in which dependent structures of the payments and the interest force are considered. Two autoregressive moving‐average (ARMA) models are introduced to model the premiums and rates of interest, and the claims are assumed to be...
Motivated by Lee and Ko (Appl. Stochastic Models. Bus. Ind. 2007; 23:493–502) but not limited to the study, this paper proposes a wavelet‐based Bayesian power transformation procedure through the well‐known Box–Cox transformation to induce normality from non‐Gaussian long memory processes. We...
The majority of actions designed to improve processes and quality include the assessment of the capability of a measurement system. The statistical model relating the measured value to the true, but not observable, value of a product characteristic is usually Gaussian and additive. In this paper...
With the assumption that information cost is characterized by a Poisson process, this paper presents risk‐minimizing problems under jump‐diffusion models. First, the explicit optimal strategy under complete information is given using Itô formula. Second, the optimal strategy problem under...
The impact of lead time reduction on an integrated periodic review inventory system comprising a single vendor and multiple buyers with a step crashing cost function and service‐level constraints is studied. The probability distribution of demand during the protection period for each buyer is...
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