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              <text>The Truncated Modified Lindley Generated Family of Distributions</text>
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              <text>In this paper, two contributions to the modified Lindley distribution are provided. First, we bend the truncation scheme to this model to introduce a new distribution on the interval (0, 1). Theory and practice are provided. In particular, we show that it can be an interesting alternative to the analogous truncated exponential and Lindley distributions. Then, we employ this truncated distribution to develop a new generalized family of distributions. We examine its main theoretical properties, and show how it can be applied quite efficiently to analyse various data sets.  2023 Mir Masoom Ali, Irfan Ali, Haitham M. Yousof and Mohamed Ibrahim.</text>
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              <text>Tomy L.; Chesneau C.; Gillariose J.</text>
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              <text>G Families of Probability Distributions: Theory and Practices, pp. 111-120.</text>
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              <text>CRC Press</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003232193-7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003232193-7&lt;/a&gt;
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              <text>ISBN: 978-100086035-1; 978-103214068-1</text>
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              <text>Tomy L., Department of Statistics, Deva Matha College, Kerala, Kuravilangad, 686633, India; Chesneau C., Universitde Caen, LMNO, Campus II, Science 3, Caen, 14032, France; Gillariose J., Department of Statistics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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