in this paper we introduce a new scheme of censoring and study it under the weibull distribution. this scheme is a mixture of progressive type ii censoring and self relocating design which was first introduced by srivastava [8]. we show the superiority of this censoring scheme (psrd) relative to the classical schemes with respect to “asymptotic variance”. comparisons are also made with respect ...

In this paper we introduce a new scheme of censoring and study it under the Weibull distribution. This scheme is a mixture of progressive Type II censoring and self relocating design which was first introduced by Srivastava [8]. We show the superiority of this censoring scheme (PSRD) relative to the classical schemes with respect to “asymptotic variance”. Comparisons are also made with respect ...

Abstract We consider the problem: is optimal expected total reward to reach a goal state in partially observable Markov decision process (POMDP) below given threshold? tackle this—generally undecidable—problem by computing under-approximations on these rewards. This done abstracting finite unfoldings of infinite belief MDP POMDP. The key issue find suitable under-approximation value function. p...

artichoke (cynara scolymus l) belongs to asteraceae. a factorial experiment based on the randomized complete block design with three replications was carried using depths of root available water (raw) and sowing time (st) as treatments. leaf length and width, number of leaves per plant and the biomass yield were recorded before laboratory analysis. in laboratory total phenols, total flavonoids,...

Artichoke (Cynara scolymus L) belongs to Asteraceae. A factorial experiment based on the randomized complete block design with three replications was carried using depths of root available water (RAW) and sowing time (ST) as treatments. Leaf length and width, number of leaves per plant and the biomass yield were recorded before laboratory analysis. In laboratory total phenols, total flavonoids,...

Abstract. This paper discusses continuous time Markov decision processes with criterion of expected discounted total rewards, where the state space is countable, the reward rate function is extended real-valued and the discount rate is a real number. Under necessary conditions that the model is well defined, the state space is partitioned into three subsets, on which the optimal value function ...

In this article, an imperfect vendor–buyer inventory system with stochastic demand, process quality control and learning in production is investigated. It is assumed that there are learning in production and investment for process quality improvement at the vendor’s end, and lot-size dependent lead-time at the buyer’s end. The lead-time for the first batch and those for the rest of the batches ...