An accurate mathematical inference depends on the experimental design and model adopted in process. Thus, this study Marshall – Olkin Teissier generated distribution was used to present of true nature lifetime data. The characteristics proposed were examined a closed form. behaviour new indicated that hazard rate submodels could be J- U-shaped, decreasing increasing. Monte Carlo simulations pre...

In this paper, a new distribution, named ‘the Inverted Hamza distribution’, was introduced. It is an extension of the distribution that can model real-world data with upside-down bathtub shape and heavy tails. Mathematical statistical characteristics such as quantile function, moments, entropy measure, stochastic ordering order statistics have been derived. Furthermore, dependability measures s...

Customer lifetime value (LTV, see e.g. Bauer et al. 2005 and Rosset et al. 2003), which measures the profit generating potential, or value, of a customer, is increasingly being considered a touchstone for administering the CRM (Customer relationship management) process. This in order to provide attractive benefits and retain high-value customers, while maximizing profits from a business standpo...

In Classical Bayesian approach, estimation of lifetime data usually is dealing with precise information. However, in real world, some informations about an underlying system might be imprecise and represented in the form of vague quantities. In these situations, we need to generalize classical methods to vague environment for studying and analyzing the systems of interest. In this paper, we pro...

Prediction on the basis of censored data is very important topic in many fields including medical and engineering sciences. In this paper, based on progressive Type-II right censoring scheme, we will discuss Bayesian two-sample prediction. A general form for lifetime model including some well known and useful models such asWeibull and Pareto is considered for obtaining prediction bounds ...

In this paper, a four parameters extension of the generalized Lindley distribution is introduced. The new distribution includes the power Lindley, Lindley, generalized (Stacy) gamma, gamma, Weibull, Rayleigh, exponential and half-normal distribution. Several statistical properties of the distribution are explored. Then, a bivariate version of the proposed distribution is derived. Using a simula...

Data mining techniques have been used widely in the area of customer relationship management (CRM). In this study, we have applied data mining techniques to address a problem in business-to-business (B2B) setting. In a manufacturer-retailer-consumer chain, a manufacturer should improve its relationship with retailers to continue its business. Segmentation is a useful tool for identifying groups...

Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...

a sensor network is made up of a large number of sensors with limited energy. sensors collect environmental data then send them to the sink. energy efficiency and thereby increasing the lifetime of sensor networks is important. direct transfer of the data from each node to the central station will increase energy consumption. previous research has shown that the organization of nodes in cluster...