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A Flexible Bounded Distribution: Information Measures and Lifetime Data Analysis
This article introduces the Fréchet log-logistic distribution (FLD) model, which offers a notable, bounded, and flexible distribution for modeling...
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A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data
In this paper, a new truncated (0, b )-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible...
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Including individual customer lifetime value and competing risks in tree-based lapse management strategies
A retention strategy based on an enlightened lapse model is a powerful profitability lever for a life insurer. Some machine learning models are...
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Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph
BackgroundOpen Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects,...
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Group Acceptance Sampling Plans Based on Truncated Life Tests for Gamma Lindley Distribution with Real Data Application
AbstractThis article develops a new group acceptance sampling plans (GASP) based on truncated lifetimes when the item’s lifetime follows gamma...
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Stochastic comparisons and ageing properties of residual lifetime mixture models
In this article, we enhance the study of stochastic comparisons and ageing properties of residual lifetime mixture models. To this aim, first we...
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A General Weighted Exponentiated Family of Distributions with Application to Carbon Fiber and Petroleum Rock Data
AbstractOn the basis of power and exponential transformations, an original family of distributions is created and studied. Thanks to two tuning...
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The Sine Modified Power-Generated Family of Distributions with Application to Practical Data and Ruin Probability
AbstractIn the past ten years, trigonometric-type distributions have drawn a lot of attention due to their excellent capacity to assess a wide range...
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Estimating Differences in Restricted Mean Lifetime Using Additive Hazards Models under Dependent Censoring
In epidemiological and clinical studies, the restricted mean lifetime is often of direct interest quantity. The differences of this quantity can be...
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A Pliant Model to Count Data: Nabla Poisson–Lindley Distribution with a Practical Data Example
Mixture models provide a logical approach to modeling complex data. The use of Lindley distribution to model different types of lifetime variables...
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A model for the lifetime of a reactive filter
In many industrial applications, reactive filters, which remove toxic substances using chemical reactions, prove very efficient and versatile. One...
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Parametric Regression Model Based on Reversed Hazard Rate: An Application to left censored heavy tailed HIV Viral Load Data
The parametric survival model with Weibull distribution can be used to model a wide range of practical lifetime data. While there have been several...
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On Point Prediction of New Lifetimes Under a Simple Step-Stress Model for Censored Lomax Data
In this study, we consider a new predictor for future lifetimes of units with Type-II censoring for a simple step-stress model. We assume that the...
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A New Flexible Three-Parameter Compound Chen Distribution: Properties, Copula and Modeling Relief Times and Minimum Flow Data
In this work, a new flexible extension of the Chen distribution is derived and studied. The new density accommodates the "unimodal right skewed",...
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Maximum Full Likelihood Approach to Randomly Truncated Data
Truncated data are commonly observed in economics, epidemiology, and other fields. The analysis of truncated data is challenging because the observed...
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Lifetime of Coverage
When a very large number of sensors are randomly deployed into a region by an aircraft in order to monitor a certain set of targets (target points),...
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Modeling Air Pollution Data Using a Generalized Birnbaum-Saunders Distribution with Different Estimation Procedures
As the detrimental impact of air pollution becomes more prevalent; it is crucial to accurately model the distribution of air contamination levels. In...
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Statistical Inference for Middle Censored Data with Applications
In statistical literature, different censoring schemes have been widely studied and analysed. The focus has however been on right censored, left...
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Regression Analysis of Misclassified Current Status Data with Informative Observation Times
Misclassified current status data arises if each study subject can only be observed once and the observation status is determined by a diagnostic...
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Partial Linear Model Averaging Prediction for Longitudinal Data
Prediction plays an important role in data analysis. Model averaging method generally provides better prediction than using any of its components....