Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. Infinite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this study, reliability software cost model consid...

A sampling plan named as Multiple Dependent State Repetitive Group Sampling (MDSRGS) is introduced for a time-truncated life test given that the underlying distribution of product's lifetime Inverse Power Lomax (IPLD). The proposed developed with help two already plans (MDS and RGS). two-point approach OC function known producer's risk customer's used to determine parameters plan. An optimizati...

This article studies the E-Bayesian estimation of unknown parameter Lomax distribution based on generalized Type-I hybrid censoring. Under square error loss and LINEX functions, we get compare its effectiveness with Bayesian estimation. To measure estimation, expectation mean (E-MSE) is introduced. With Markov chain Monte Carlo technology, estimations are computed. Metropolis–Hastings algorithm...

Real-world networks are generally claimed to be scale-free. This means that the degree distributions follow classical power-law, at least asymptotically. However, closer observation shows power-law distribution is often inadequate meet data characteristics due existence of an identifiable nonlinearity in entire log-log scale. The present paper proposes a new variant popular heavy-tailed Lomax w...

In this paper, we investigate the performance of a variety frequentist estimation techniques for scale and shape parameters Lomax distribution. These methods include traditional such as maximum likelihood estimator method moments estimator. A version adjusted bias is included well. Furthermore, an alternative moment-based technique, L-moment estimator, included, along with three different minim...