In this paper, we investigate some inferential properties of the upper record Lomax distribution. Also, we will estimate the upper record of the Lomax distribution parameters using methods, Moment (MME), Maximum Likelihood (MLE), Kullback-Leibler Divergence of the Survival function (DLS) and Baysian. Finally, we will compare these methods using the Monte Carlo simulation.

In this paper, we introduce the inverse exponentiated Lomax power series (IELoPS) class of distributions, obtained by compounding and distributions. The IELoPS contains some significant new flexible lifetime distributions that possess powerful physical explications applied in areas like industrial biological studies. comprises as a subclass well several compounded For proposed class, characteri...

In this paper, we introduce and study a new extension of Lomax distribution with four-parameter named as the Marshall–Olkin alpha power (MOAPL) distribution. Some statistical properties are discussed. Maximum likelihood estimation (MLE), maximum product spacing (MPS) least Square (LS) method for MOAPL parameters A numerical using real data analysis Monte-Carlo simulation performed to compare be...

A database of clinically approved stereotactic radiosurgery treatment plans was created. One hundred and seventy targets in the database were then retrospectively evaluated using conformity indices suggested by RTOG, SALT-Lomax and Paddick. Relationships between the three alternative conformity indices were determined. The Paddick index combines the information provided by the RTOG and SALT-Lom...