نتایج جستجو برای: within text inferences
تعداد نتایج: 1149819 فیلتر نتایج به سال:
Generalized variance is applied for determination of dispersion in a multivariate population and is a successful measure for concentration of multivariate data. In this article, we consider constructing confidence interval and testing the hypotheses about generalized variance in a multivariate normal distribution and give a computational approach. Simulation studies are performed to compare thi...
A model of P systems with symport / antiport rules is given in terms of hypernets, a generalization of a class of hierarchical Petri nets introduced for modeling mobility inside the nets-within-nets paradigm. The hierarchical structure of a P system is reflected by the associated hypernet, where molecules are modeled by unstructured agents (simple tokens) and membranes by agents. Each agent is ...
Service-oriented computing provides a suitable technological foundation for developing and executing dynamic business processes. However, most current approaches for composition languages and architectures for dynamic process integration do not provide the flexibility and dynamism required by interorganisational evolving environments. In this work, the DENEB platform for the development and exe...
Nested Petri nets (NP-nets) is an extension of the Petri nets formalism within the nets-within-nets approach, allowing to model systems of interacting dynamic agents in a natural way. One of the main problems in verifying of such systems is the State Explosion Problem. To tackle this problem for highly concurrent systems the unfolding method has proved to be very helpful. In this paper we conti...
Often, the reader of a published paper is interested in a comparison of parameters that has not been presented. It is not possible to make inferences beyond point estimation since the standard error for the contrast of the estimated parameters depends upon the (unreported) correlation. This study explores approaches to obtain valid confidence intervals when the correlation [Formula: see text] i...
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