Bayesian Analysis of Extended Lomax Distribution
Journal Title: INTERNATIONAL JOURNAL OF MATHEMATICS TRENDS AND TECHNOLOGY - Year 2014, Vol 7, Issue 1
Abstract
In this paper, the Markov chain Monte Carlo (MCMC) method is used to estimate the parameters of Extended Lomax distribution, based on a complete sample. The proposed methodology can be used to obtain the Bayes estimates the parametric function such as reliability function, hazard function, etc under different loss functions and is also suitable for empirical modeling. A real data set is considered for illustration under non-informative and informative set of priors.
Authors and Affiliations
Shankar Kumar Shrestha , Vijay Kumar
(i,j) Strongly a**-Closed Sets in Bitopological Spaces
In this paper we introduce a new class of sets namely, (i,j) strongly α**-closed sets. Properties of this set are investigated and we introduce new spaces namely, (i,j)Tsα** spaces, (i,j)g*Tsα** spaces and (i,j)sg* Tsα**...
Decision Making Approach for Solving Fuzzy Soft Matrix
In this work, we investigate fuzzy soft matrix and their operations. We then investigate fuzzy soft algorithm that allows constructing those efficient decision making method. Finally, we give an example which shows that...
Pulsatile Flow of Blood with Volume Fraction of Micro-organisms in the Presence of Transverse Magnetic Field through Stenosed Tube
This paper presents an analytical study of pulsatile flow of blood with micro-organisms through stenosed tubes in presence of transverse magnetic field.The effect of externally applied magnetic field on velocity, flow ra...
Contra θgs-Continuous Functions
The aim of this paper is to introduce and study of a new generalization of contra continuity called contra gs-continuous functions utilizing gs-closed set.
Mathematical Technique Based Speaker Recognition for Total Security System
Today security system is rapidly growing and updating simultaneously due to advance of technology. This growth in electronic transactions results in a rise of demand for fast and accurate user identification and authenti...