Search
Search Results
-
Modified Cumulative Extropies of Doubly Truncated Random Variables
In this paper, we introduce the modified doubly truncated cumulative residual and past extropies, which are generalizations of corresponding...
-
Relation between Relative Hazard Rates and Residual Divergence with some Applications to Reliability Analysis
In the present work we discuss some new results and applications of the Kullback-Leibler residual divergence. It is shown that the residual...
-
Quantile Based Geometric Vitality Function of Order Statistics
AbstractIn [
1 ], the authors introduced the geometric vitality function that explains the failure pattern of components or systems based on the... -
Prediction of the remaining testing time for the generalized Pareto progressive censoring samples with applications to extreme hydrology events
The prediction of the unobserved units is typically based on the derivations of the predictive distributions of the individual observations. This...
-
On cumulative residual (past) inaccuracy for truncated random variables
To overcome the drawbacks of Shannon’s entropy, the concept of cumulative residual and past entropy has been proposed in the information theoretic...
-
Some Results on DDCRE Class of Life Distributions
Asadi and Zohrevand (
2007 ). On the dynamic cumulative residual entropy. J. Statist. Plann. Inference, 137, 1931–1941] define the decreasing dynamic... -
Characterizations based on measure of inaccuracy for truncated random variables
In recent years, different authors have shown interest to study Kerridge inaccuracy measure for truncated distributions. In the present...
-
Variance residual life function based on double truncation
Since, most of the real observations in industrial and reliability studies, are left, right or doubly truncated data, studying the reliability...
-
Optimal Structural Nested Models for Optimal Sequential Decisions
I describe two new methods for estimating the optimal treatment regime (equivalently, protocol, plan or strategy) from very high dimesional... -
The Poisson Process
Suppose that an event E may occur at any point in time and that the number of occurrences of E during disjoint time intervals is independent. As... -
Introduction
As explained in the Preface, we study a collection of individuals, each moving among a finite (usually small) number of states. The exact transition... -
Nonparametric Estimation
In the preceding chapter we discussed how the mathematical theory of Chapter II could be used to specify statistical models based on counting...