<?xml version="1.0" encoding="UTF-8"?>
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<title>Dr Jeena Joseph</title>
<link href="http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/378" rel="alternate"/>
<subtitle/>
<id>http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/378</id>
<updated>2026-04-20T13:52:48Z</updated>
<dc:date>2026-04-20T13:52:48Z</dc:date>
<entry>
<title>Transmuted Exponentiated Kumaraswamy Distribution</title>
<link href="http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/411" rel="alternate"/>
<author>
<name>Joseph, Jeena</name>
</author>
<author>
<name>Ravindran, Meera</name>
</author>
<id>http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/411</id>
<updated>2025-01-21T08:38:35Z</updated>
<published>2023-03-01T00:00:00Z</published>
<summary type="text">Transmuted Exponentiated Kumaraswamy Distribution
Joseph, Jeena; Ravindran, Meera
In this paper, a generalization of the Exponentiated Kumaraswamy distribution referred to as the&#13;
Transmuted Exponentiated Kumaraswamy distribution is proposed. The new transmuted distribution&#13;
is developed using the quadratic rank transmutation map. The mathematical properties of the new&#13;
distribution is provided. Explicit expressions are derived for the moments, incomplete moments, moment&#13;
generating function, quantile function, entropy, mean deviation and order statistics. Survival analysis&#13;
is also performed. The distribution parameters are estimated using the method of maximum likelihood.&#13;
Simulation of random variables is performed in order to investigate the performance of the estimates. An&#13;
analysis using real life data is conducted to demonstrate the usefulness of the proposed distribution.
</summary>
<dc:date>2023-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Topp-Leone Generated q-Weibull Distribution and its Applications</title>
<link href="http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/409" rel="alternate"/>
<author>
<name>Sebastian, Nicy</name>
</author>
<author>
<name>Joseph, Jeena</name>
</author>
<author>
<name>Santhosh, Sona</name>
</author>
<id>http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/409</id>
<updated>2025-01-21T07:40:16Z</updated>
<published>2023-04-15T00:00:00Z</published>
<summary type="text">Topp-Leone Generated q-Weibull Distribution and its Applications
Sebastian, Nicy; Joseph, Jeena; Santhosh, Sona
In this paper, we introduce a new generated distribution called the Topp-Leone Generated q-Weibull(TLqW) Distribution. The described distribution’s many distributional&#13;
attributes and reliability traits are covered. Some well-known special cases of the mentioned&#13;
model are also listed. When the lifetimes follow this distribution, it is better to establish a&#13;
new reliability test plan, which aids in picking the best choices. The maximum likelihood&#13;
method is investigated for parameter estimation in models. Using actual data sets, we used&#13;
empirical evidence to demonstrate the value and adaptability of the new model in the model&#13;
building process. The new test plan is then used to demonstrate how it may be used for&#13;
creating dependable software in commercial settings.
</summary>
<dc:date>2023-04-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>POWER WEIBULL QUANTILE FUNCTION AND IT’S RELIABILITY ANALYSIS</title>
<link href="http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/406" rel="alternate"/>
<author>
<name>Joseph, Jeena</name>
</author>
<author>
<name>Tony, Sonitta</name>
</author>
<id>http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/406</id>
<updated>2025-01-21T06:24:20Z</updated>
<published>2023-12-01T00:00:00Z</published>
<summary type="text">POWER WEIBULL QUANTILE FUNCTION AND IT’S RELIABILITY ANALYSIS
Joseph, Jeena; Tony, Sonitta
In this article, we propose a new class of distributions defined by a quantile function, which is the sum&#13;
of the quantile functions of the Power and Weibull distributions. Various distributional properties and&#13;
reliability characteristics of the class are discussed. To examine the usefulness of the model, the model is&#13;
applied to a real life datasets. Parameters are estimated using maximum likelihood estimation technique.
</summary>
<dc:date>2023-12-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Type 1 Topp-Leone q−Exponential Distribution and its Applications</title>
<link href="http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/394" rel="alternate"/>
<author>
<name>Sebastian, Nicy</name>
</author>
<author>
<name>Joseph, Jeena</name>
</author>
<author>
<name>Princy, T.</name>
</author>
<id>http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/394</id>
<updated>2025-01-18T09:27:54Z</updated>
<published>2022-09-01T00:00:00Z</published>
<summary type="text">Type 1 Topp-Leone q−Exponential Distribution and its Applications
Sebastian, Nicy; Joseph, Jeena; Princy, T.
The main purpose of this paper is to discuss a new lifetime distribution, called the type 1 Topp-Leone&#13;
generated q-exponential distribution(Type 1 TLqE). Using the quantile approach various distributional&#13;
properties, L−moments, order statistics, and reliability properties were established. We suggested a new&#13;
reliability test plan, which is more advantageous and helps in making optimal decisions when the lifetimes&#13;
follow this distribution. The new test plan is applied to illustrate its use in industrial contexts. Finally,&#13;
we proved empirically the importance and the flexibility of the new model in model building by using a&#13;
real data set.
</summary>
<dc:date>2022-09-01T00:00:00Z</dc:date>
</entry>
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