In this paper a Maximum Likelihood Estimator is derived in the Generalized Linear Model-based regression profiles under the monotonic change in Phase II. The performance of proposed estimator is comprehensively investigated through some special cases and compared to estimators under step change and drift. The results show that the proposed estimator has better performance in small and medium sh...

The R package ALTopt has been developed with the aim of creating and evaluating optimal experimental designs of censored accelerated life tests (ALTs). This package takes the generalized linear model approach to ALT planning, because this approach can easily handle censoring plans and derive information matrices for evaluating designs. Three types of optimality criteria are considered: D-optima...

a r t i c l e i n f o Planning actions for species conservation involves working at both an ecologically meaningful spatial scale and a scale suitable for implementing management or conservation plans. Animal populations and conservation policies often operate across wide areas. Large-extent spatial datasets are thus often used, but their analyses rarely deal with problems inherent to spatial d...

Poisson shot noise processes are natural generalizations of compound that have been widely applied in insurance, neuroscience, seismology, computer science and epidemiology. In this paper we study sharp deviations, fluctuations the stable probability approximation processes. Our achievements extend, improve complement existing results literature. We apply theoretical to cluster point processes,...

Abstract The most commonly used regression model in general insurance pricing is the compound Poisson with gamma claim sizes. There are two different parametrizations for this model: Poisson-gamma parametrization and Tweedie’s parametrization. Insurance industry typically prefers We review both parametrizations, provide new results that help to lower computational costs parameter estimation wit...

In many applications, it is desirable to design filters that affect the magnitude of the Fourier transform of the input in some way – for example, by attenuating certain frequency components, while affecting the phase as little as possible. Unfortunately, for causal systems, it is not possible to achieve zero phase. Instead, as a design goal, we can try to make the phase as close to linear as p...

‎the global generalized minimum residual (gl-gmres)‎ ‎method is examined for solving the generalized sylvester matrix equation‎ ‎[sumlimits_{i = 1}^q {a_i } xb_i = c.]‎ ‎some new theoretical results are elaborated for‎ ‎the proposed method by employing the schur complement‎. ‎these results can be exploited to establish new convergence properties‎ ‎of the gl-gmres method for solving genera...