Characterization of Generalized Distribution by Doubly Truncated Moment
In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. F...
Ausführliche Beschreibung
Autor*in: |
Haseeb Athar [verfasserIn] Yahia Abdel-Aty [verfasserIn] Mohd. Almech Ali [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Statistica - University of Bologna, 2013, 81(2021), 1, Seite 25-44 |
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Übergeordnetes Werk: |
volume:81 ; year:2021 ; number:1 ; pages:25-44 |
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Link aufrufen |
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DOI / URN: |
10.6092/issn.1973-2201/10718 |
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Katalog-ID: |
DOAJ002570181 |
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10.6092/issn.1973-2201/10718 doi (DE-627)DOAJ002570181 (DE-599)DOAJc8d98c52d5ed45a9af2aa7bd6ee39090 DE-627 ger DE-627 rakwb eng HA1-4737 Haseeb Athar verfasserin aut Characterization of Generalized Distribution by Doubly Truncated Moment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. truncated moment characterization pareto distribution power function distribution exponential distribution exponentiated pareto distribution Statistics Yahia Abdel-Aty verfasserin aut Mohd. Almech Ali verfasserin aut In Statistica University of Bologna, 2013 81(2021), 1, Seite 25-44 (DE-627)768462487 (DE-600)2734544-0 19732201 nnns volume:81 year:2021 number:1 pages:25-44 https://doi.org/10.6092/issn.1973-2201/10718 kostenfrei https://doaj.org/article/c8d98c52d5ed45a9af2aa7bd6ee39090 kostenfrei https://rivista-statistica.unibo.it/article/view/10718 kostenfrei https://doaj.org/toc/0390-590X Journal toc kostenfrei https://doaj.org/toc/1973-2201 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2021 1 25-44 |
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10.6092/issn.1973-2201/10718 doi (DE-627)DOAJ002570181 (DE-599)DOAJc8d98c52d5ed45a9af2aa7bd6ee39090 DE-627 ger DE-627 rakwb eng HA1-4737 Haseeb Athar verfasserin aut Characterization of Generalized Distribution by Doubly Truncated Moment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. truncated moment characterization pareto distribution power function distribution exponential distribution exponentiated pareto distribution Statistics Yahia Abdel-Aty verfasserin aut Mohd. Almech Ali verfasserin aut In Statistica University of Bologna, 2013 81(2021), 1, Seite 25-44 (DE-627)768462487 (DE-600)2734544-0 19732201 nnns volume:81 year:2021 number:1 pages:25-44 https://doi.org/10.6092/issn.1973-2201/10718 kostenfrei https://doaj.org/article/c8d98c52d5ed45a9af2aa7bd6ee39090 kostenfrei https://rivista-statistica.unibo.it/article/view/10718 kostenfrei https://doaj.org/toc/0390-590X Journal toc kostenfrei https://doaj.org/toc/1973-2201 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2021 1 25-44 |
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10.6092/issn.1973-2201/10718 doi (DE-627)DOAJ002570181 (DE-599)DOAJc8d98c52d5ed45a9af2aa7bd6ee39090 DE-627 ger DE-627 rakwb eng HA1-4737 Haseeb Athar verfasserin aut Characterization of Generalized Distribution by Doubly Truncated Moment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. truncated moment characterization pareto distribution power function distribution exponential distribution exponentiated pareto distribution Statistics Yahia Abdel-Aty verfasserin aut Mohd. Almech Ali verfasserin aut In Statistica University of Bologna, 2013 81(2021), 1, Seite 25-44 (DE-627)768462487 (DE-600)2734544-0 19732201 nnns volume:81 year:2021 number:1 pages:25-44 https://doi.org/10.6092/issn.1973-2201/10718 kostenfrei https://doaj.org/article/c8d98c52d5ed45a9af2aa7bd6ee39090 kostenfrei https://rivista-statistica.unibo.it/article/view/10718 kostenfrei https://doaj.org/toc/0390-590X Journal toc kostenfrei https://doaj.org/toc/1973-2201 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2021 1 25-44 |
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10.6092/issn.1973-2201/10718 doi (DE-627)DOAJ002570181 (DE-599)DOAJc8d98c52d5ed45a9af2aa7bd6ee39090 DE-627 ger DE-627 rakwb eng HA1-4737 Haseeb Athar verfasserin aut Characterization of Generalized Distribution by Doubly Truncated Moment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. truncated moment characterization pareto distribution power function distribution exponential distribution exponentiated pareto distribution Statistics Yahia Abdel-Aty verfasserin aut Mohd. Almech Ali verfasserin aut In Statistica University of Bologna, 2013 81(2021), 1, Seite 25-44 (DE-627)768462487 (DE-600)2734544-0 19732201 nnns volume:81 year:2021 number:1 pages:25-44 https://doi.org/10.6092/issn.1973-2201/10718 kostenfrei https://doaj.org/article/c8d98c52d5ed45a9af2aa7bd6ee39090 kostenfrei https://rivista-statistica.unibo.it/article/view/10718 kostenfrei https://doaj.org/toc/0390-590X Journal toc kostenfrei https://doaj.org/toc/1973-2201 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2021 1 25-44 |
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Characterization of Generalized Distribution by Doubly Truncated Moment |
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In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. |
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In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. |
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In this paper characterization properties based on conditional expectation of a continuous function of random variable are studied when truncation is from both the sides, left and right. Then, these results are applied to obtain the k-th doubly truncated moment for a general class of distribution. Further, some examples and particular cases based on this general class of distributions are also demonstrated. The results are obtained in simple and explicit manner which also unifies the earlier results obtained by several authors. In the end, simulation study is performed to validate the correctness of theoretical characterization results and then two real life data sets are used to demonstrate the applications of these results. |
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