In this paper, we consider a number of technical problems associated with identification of linear systems using quantized and intermittent information. More specifically, we study asymptotic properties for identification of such systems, including strong consistency, asymptotic normality and asymptotic efficiency, and determine their relationship with quantization errors and the packet losses....

Urn models are popular and useful for adaptive designs in clinical studies. Among various urn models, the drop-the-loser rule is an efficient adaptive treatment allocation scheme, recently proposed for comparing different treatments in a clinical trial. This rule is superior to other randomization schemes in terms of variability and power. In this paper, the drop-the-loser rule is generalized t...

Background: The quantity and quality of manpower, especially in health systems, are major factors affecting speed of service delivery, cost, and accuracy, or, in other words, the quality of service. Objective: This study purposed to investigate the manpower required in various units of the laboratory at Shiraz Faghihi Hospital. Methods</stro...

We study continuous maps of the unit interval into itself We determine necessary and su cient conditions so that all pseudo orbits can be approximated by orbits with the same initial point

In this paper we explore the role of Perfect MV-algebras in localization issues. Further, via suitable functors we describe a localization process for abelian lattice ordered groups with strong unit from localization of MV-algebras.

The Generalized Pólya Urn (GPU) is a popular urn model which is widely used in many disciplines. In particular, it is extensively used in treatment allocation schemes in clinical trials. In this paper, we propose a sequential estimation-adjusted urn model (a nonhomogeneous GPU) which has a wide spectrum of applications. Because the proposed urn model depends on sequential estimations of unknown...