Literature review indicates that markov chain is mostly used in inventory control practices, queuing theories, reliability system, design optimization, maintenance practices and quality control systems. In order to make the best decision while facing changes in real world life markov chain is used so ...
as well as the subsequent impacts on the environment incurred due to the running of a system or product throughout that entity’s life cycle (ISO 14040.2 Draft). The LCA provides a framework for the definition of the scope, and the
In a clickstream analysis setting, Mixture Hidden Markov Models (MHMMs) can be used to examine categorical sequences assuming they evolve according to a mi
Markov Chain Monte Carlo technique such as Metropolis-Hastings algorithm has been utilized to generate draws from the posterior densities of the parameters. 展开 关键词: Load-sharing System model Bayes estimate Metropolis–Hastings algorithm Highest posterior density credible intervals Bootstrap intervals ...
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In the current study, we demonstrate the use of a quality framework to review the process for improving the quality and safety of the patient in the health care department. The researchers paid attention to assessing the performance of the health care service, where the data is usually heterogen...
To show the application of proposed method in real life problems the vague Kolmogorov's differential equations, obtained by using vague Markov model of ... S Lata,A Kumar - 《Applied Mathematical Modelling》 被引量: 1发表: 2013年 The Applications of Vague Soft Sets and Generalized Vague Soft...
Ensuring application service availability is a critical aspect of delivering quality cloud computing services. However, placing virtual machines (VMs) on computing servers to provision these services can present significant challenges, particularly in te
Intuitionistic fuzzy set (IFS) has been found promising for handling ambiguity forms of uncertainty in social data. This paper undertakes an application of
A Markov chain Monte Carlo simulation procedure provides the estimates from the posterior distribution reflecting the membership of each indivi- dual. In the STRUCTURE model, the posterior probability (q) describes the proportion of an individual genotype originating from each of K categories. In our...