Results 251 to 260 of about 98,530 (284)

Estimation of a smooth quantile function under the proportional hazards model

Annals of the Institute of Statistical Mathematics, 1991
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J. K. Ghorai
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Exact Inference for Laplace Quantile, Reliability, and Cumulative Hazard Functions Based on Type-II Censored Data

IEEE Transactions on Reliability, 2015
In this paper, we first present explicit expressions for the maximum likelihood estimates (MLEs) of the location, and scale parameters of the Laplace distribution based on a Type-II right censored sample under different cases. Then, after giving the exact density functions of the MLEs, and the expectations, we derive the exact density of the MLE of the
Xiaojun Zhu, N. Balakrishnan
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A new two-parameter lifetime distribution with flexible hazard rate function: Properties, applications and different method of estimations

, 2021
In this paper, we introduce a new two-parameter lifetime distribution which is called extended Half-Logistic (EHL) distribution. Theoretical properties of this model including the hazard function, quantile function, asymptotic, extreme value, moments ...
M. Hashempour
semanticscholar   +1 more source

Some reliability aspects of record values using quantile functions

Communications in Statistics - Theory and Methods, 2023
In some experiments such as stress testing and industrial quality control experiments, only values which are larger or smaller than all previous ones are observed. Study of such extremes are of great importance.
I. Aswin, P. Sankaran, S. Sunoj
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Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.

Journal of the Royal Statistical Society: Series A (Statistics in Society), 2023
Mass public shootings in the U.S. have become a major public health hazard, impacting the safety and well-being of individuals and communities. Motivated by this pressing issue, we propose a mid-quantile mixed graphical model for investigating the ...
Luca Merlo, Marc Geraci, Lea Petrella
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Error function Burr XII distribution : Quantile regression, classical and Bayesian applications

Journal of Statistics & Management Systems
Statistical distributions form the bedrock of many parametric analyses. Thus, identifying an apt model is key in parametric statistical inference. This study formulates the error function Burr XII (EFBXII) model. The EFBXII model is parsimonious compared
K. K. Ajongba, Suleman Nasiru, Abdul-Aziz Adam Kobilla, A. Abubakari   +3 more
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Cause‐specific quantile regression on inactivity time

Statistics in Medicine, 2021
In time‐to‐event analysis, the traditional summary measures have been based on the hazard function, survival function, quantile event time, restricted mean event time, and residual lifetime.
Yichen Jia, Jong-Hyeon Jeong
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Marshall-Olkin Power Hazard Rate Distribution with Associated Minification Process and Application

International journal of research and scientific innovation
In this paper, a new three-parameter lifetime distribution of Marshall-Olkin family of distributions with the baseline model as power hazard rate distribution called the Marshall-Olkin Power Hazard rate distribution is introduced and its various ...
O. Elem-Uche, Emmanuel W. Okereke, C. O. Omekara   +2 more
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Quantile Based Analysis of Marshall-Olkin Family

International Journal of Science and Research (IJSR)
: In this article, we suggest a way to introduce a new parameter to an existing quantile function to produce a new quantile function. We got an identity connecting the two quantile functions which will be useful for studying the reliability properties of
Haritha N Haridas, N. Unnikrishnan Nair
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MODIFIED INVERTED KUMARASWAMY DISTRIBUTION USING INVERSE POWER FUNCTION: PROPERTIES AND APPLICATIONS

FUDMA Journal of Sciences
In the area of distribution theory, statisticians have proposed and developed new models for generalizing the existing ones to make them more flexible and to aid their application in a variety of fields.
Hauwau Yusuf, Abubakar Usman, Abukakar Yahaya, Ibrahim Abubakar Sadiq, O. A. Bello, Saudat Aliyu Adamu   +5 more
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