scholarly journals Statistical Analysis of a Lifetime Distribution with a Bathtub-Shaped Failure Rate Function under Adaptive Progressive Type-II Censoring

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 670 ◽  
Author(s):  
Siyi Chen ◽  
Wenhao Gui
Keyword(s):  
Failure Rate ◽  
Estimation Method ◽  
Rate Function ◽  
Lifetime Distribution ◽  
Estimation Methods ◽  
Type Ii ◽  
Failure Rate Function ◽  
Data Set ◽  
Progressive Type ◽  
Two Parameters

In this paper, the estimation problem of two parameters of a lifetime distribution with a bathtub-shaped failure rate function based on adaptive progressive type-II censored data is discussed. This censoring scheme allows the experiment to be more efficient in the use of time and cost while ensuring the statistical inference efficiency based on the experimental results. Maximum likelihood estimators are proposed and the approximate confidence intervals for two parameters are computed using the asymptotic normality. Lindley approximation and Gibbs sampling are used to obtain Bayes point estimates and the latter is also used to generate Bayes two-sided credible intervals. Finally, the performance of various estimation methods is evaluated through simulation experiments, and the proposed estimation method is illustrated through the analysis of a real data set.

scholarly journals Statistical Analysis of a Weibull Extension with Bathtub-Shaped Failure Rate Function

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Ronghua Wang ◽  
Naijun Sha ◽  
Beiqing Gu ◽  
Xiaoling Xu
Keyword(s):  
Failure Rate ◽  
Rate Function ◽  
Estimation Methods ◽  
Type Ii ◽  
Life Distribution ◽  
Parameter Inference ◽  
Failure Rate Function ◽  
Increasing Failure Rate ◽  
Censored Samples ◽  
Two Parameter

We consider the parameter inference for a two-parameter life distribution with bathtub-shaped or increasing failure rate function. We present the point and interval estimations for the parameter of interest based on type-II censored samples. Through intensive Monte-Carlo simulations, we assess the performance of the proposed estimation methods by a comparison of precision. Example applications are demonstrated for the efficiency of the methods.

scholarly journals Inference on a New Lifetime Distribution under Progressive Type II Censoring for a Parallel-Series Structure

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Atef F. Hashem ◽  
Salem A. Alyami
Keyword(s):  
Least Squares ◽  
Failure Time ◽  
Weighted Least Squares ◽  
Lifetime Distribution ◽  
Estimation Methods ◽  
Type Ii ◽  
Progressive Type ◽  
Type Ii Censored Data ◽  
Extensive Numerical Simulation ◽  
Parallel Series

A new lifetime distribution, called exponential doubly Poisson distribution, is proposed with decreasing, increasing, and upside-down bathtub-shaped hazard rates. One of the reasons for introducing the new distribution is that it can describe the failure time of a system connected in the form of a parallel-series structure. Some properties of the proposed distribution are addressed. Four methods of estimation for the involved parameters are considered based on progressively type II censored data. These methods are maximum likelihood, moments, least squares, and weighted least squares estimations. Through an extensive numerical simulation, the performance of the estimation methods is compared based on the average of mean squared errors and the average of absolute relative biases of the estimates. Two real datasets are used to compare the proposed distribution with some other well-known distributions. The comparison indicates that the proposed distribution is better than the other distributions to match the data provided.

OPTIMAL BURN-IN PROCEDURES IN A GENERALIZED ENVIRONMENT

2005 ◽  
Vol 12 (03) ◽  
pp. 189-201 ◽  
Author(s):  
JI HWAN CHA ◽  
JIE MI
Keyword(s):  
Lower Bound ◽  
Failure Rate ◽  
Rate Function ◽  
General Assumption ◽  
Lifetime Distribution ◽  
Failure Rate Function ◽  
Increasing Failure Rate ◽  
Bathtub Shape ◽  
Early Failures ◽  
Special Case

Burn-in procedure is a manufacturing technique that is intended to eliminate early failures. In the literature, assuming that the failure rate function of the products has a bathtub shape the properties on optimal burn-in have been investigated. In this paper burn-in problem is studied under a more general assumption on the shape of the failure rate function of the products which includes the traditional bathtub shaped failure rate function as a special case. An upper bound for the optimal burn-in time is presented under the assumption of eventually increasing failure rate function. Furthermore, it is also shown that a nontrivial lower bound for the optimal burn-in time can be derived if the underlying lifetime distribution has a large initial failure rate.

Type II Half Logistic Linear Failure Rate Distribution with Application

2020 ◽  
Vol 17 (7) ◽  
pp. 2912-2917
Author(s):  
Maha A. Aldahlan
Keyword(s):  
Failure Rate ◽  
Probability Distributions ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Real Data ◽  
Model Parameters ◽  
Type Ii ◽  
Data Set ◽  
Rate Distribution ◽  
New Distribution

In recent years, several of new improved probability distributions have been discovered from the current distributions to facilitate their applications in various areas. A new three-parameter model extended from the linear failure rate model, the so called the type II half logistic linear failure rate distribution. Some mathematical properties of the new distribution are proposed. Explicit expressions for the moments, probability weighted moments and order statistics are calculated. Maximum likelihood estimation method is assessed to estimate the model parameters are presented. The superiority of the new distribution is illustrated with an application to one real data set.

scholarly journals The odd log-logistic gompertz lifetime distribution: Properties and applications

2019 ◽  
Vol 56 (1) ◽  
pp. 55-80
Author(s):  
Morad Alizadeh ◽  
Saeid Tahmasebi ◽  
Mohammad Reza Kazemi ◽  
Hamideh Siyamar Arabi Nejad ◽  
G. Hossein G. Hamedani
Keyword(s):  
Survival Data ◽  
Real Data ◽  
Rate Function ◽  
Cumulative Distribution ◽  
Estimation Methods ◽  
Order Moment ◽  
Failure Rate Function ◽  
Data Set ◽  
Lifetime Distributions ◽  
New Distribution

Abstract In this paper, we introduce a new three-parameter generalized version of the Gompertz model called the odd log-logistic Gompertz (OLLGo) distribution. It includes some well-known lifetime distributions such as Gompertz (Go) and odd log-logistic exponential (OLLE) as special sub-models. This new distribution is quite flexible and can be used effectively in modeling survival data and reliability problems. It can have a decreasing, increasing and bathtub-shaped failure rate function depending on its parameters. Some mathematical properties of the new distribution, such as closed-form expressions for the density, cumulative distribution, hazard rate function, the kth order moment, moment generating function and the quantile measure are provided. We discuss maximum likelihood estimation of the OLLGo parameters as well as three other estimation methods from one observed sample. The flexibility and usefulness of the new distribution is illustrated by means of application to a real data set.

REDEFINING FAILURE RATE FUNCTION FOR DISCRETE DISTRIBUTIONS

2002 ◽  
Vol 09 (03) ◽  
pp. 275-285 ◽  
Author(s):  
M. XIE ◽  
O. GAUDOIN ◽  
C. BRACQUEMOND
Keyword(s):  
Failure Rate ◽  
Rate Function ◽  
Monotonicity Property ◽  
Discrete Distributions ◽  
The Other ◽  
Continuous Case ◽  
Discrete Version ◽  
Series System ◽  
Failure Rate Function ◽  
Definition Of

For discrete distribution with reliability function R(k), k = 1, 2,…,[R(k - 1) - R(k)]/R(k - 1) has been used as the definition of the failure rate function in the literature. However, this is different from that of the continuous case. This discrete version has the interpretation of a probability while it is known that a failure rate is not a probability in the continuous case. This discrete failure rate is bounded, and hence cannot be convex, e.g., it cannot grow linearly. It is not additive for series system while the additivity for series system is a common understanding in practice. In the paper, another definition of discrete failure rate function as In[R(k - 1)/R(k)] is introduced, and the above-mentioned problems are resolved. On the other hand, it is shown that the two failure rate definitions have the same monotonicity property. That is, if one is increasing/decreasing, the other is also increasing/decreasing. For other aging concepts, the new failure rate definition is more appropriate. The failure rate functions according to this definition are given for a number of useful discrete reliability functions.

Initial and final behaviour of failure rate functions for mixtures and systems

2003 ◽  
Vol 40 (03) ◽  
pp. 721-740 ◽  
Author(s):  
Henry W. Block ◽  
Yulin Li ◽  
Thomas H. Savits
Keyword(s):  
Asymptotic Behaviour ◽  
Failure Rate ◽  
Rate Function ◽  
Coherent Systems ◽  
Failure Rate Function ◽  
Rate Functions ◽  
Limiting Behaviour

In this paper we consider the initial and asymptotic behaviour of the failure rate function resulting from mixtures of subpopulations and formation of coherent systems. In particular, it is shown that the failure rate of a mixture has the same limiting behaviour as the failure rate of the strongest subpopulation. A similar result holds for systems except the role of strongest subpopulation is replaced by strongest min path set.

Sign in / Sign up

Export Citation Format

Share Document