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The Importance of Artificial intelligence in Improving Decision Making by Applying to Decision-Makers in the Private Banks in Yemen, Vol. 11, No. 3 (Sep. 2024), PP:97-108
doi:10.18576/jsapl/110301
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How to Cite:
Abdolkareem K. Alsyaghi, Akram M. Alarshani, The Importance of Artificial intelligence in Improving Decision Making by Applying to Decision-Makers in the Private Banks in Yemen, Journal of Statistics Applications & Probability Letters, Vol. 11, No. 3, pp: 97-108, 2024, Doi: https://dx.doi.org/10.18576/jsapl/110301
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Efficient estimators of population coefficient of variation under simple random sampling using single auxiliary variable, Vol. 11, No. 3 (Sep. 2024), PP:109-121
doi:10.18576/jsapl/110302
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Authors: |
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Rajesh Singh - Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi-221005, U.P., India
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Sunil Kumar Yadav - Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi-221005, U.P., India
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How to Cite:
Rajesh Singh, Sunil Kumar Yadav, Efficient estimators of population coefficient of variation under simple random sampling using single auxiliary variable, Journal of Statistics Applications & Probability Letters, Vol. 11, No. 3, pp: 109-121, 2024, Doi: https://dx.doi.org/10.18576/jsapl/110302
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A Simulation Study on Some Confidence Intervals for Estimating the Population Mean Under Asymmetric and Symmetric Distribution Conditions, Vol. 11, No. 3 (Sep. 2024), PP:123-144
doi:10.18576/jsapl/110303
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Authors: |
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H M Nayem - Department of Mathematics and Statistics, Florida International University, Miami, FL 33199, USA
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B. M. Golam Kibria - Department of Mathematics and Statistics, Florida International University, Miami, FL 33199, USA
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How to Cite:
H M Nayem, B. M. Golam Kibria, A Simulation Study on Some Confidence Intervals for Estimating the Population Mean Under Asymmetric and Symmetric Distribution Conditions, Journal of Statistics Applications & Probability Letters, Vol. 11, No. 3, pp: 123-144, 2024, Doi: https://dx.doi.org/10.18576/jsapl/110303
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An Adroit Stratified Unrelated Question Randomized Response Model with Assorted Strategies, Vol. 11, No. 3 (Sep. 2024), PP:145-166
doi:10.18576/jsapl/110304
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Authors: |
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Ayed AL e’damat - Department of Mathematics, AL Hussain Bin Talal University, ma’an, Jordan
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Roohul Andrabi - Department of Management Studies, Dr. MGR Education and Research Institute Chennai Tamil Nadu, India
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Tundo - Department of Informatics, Universitas 17 Agustus 1945 Jakarta, Indonesia
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Rajes Khana - Department of Electrical Engineering, Universitas Teknologi Yogyakarta, Indonesia
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Joko Sutopo - Department of Data Science, Universitas Teknologi Yogyakarta, Indonesia
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Andi Saidah - Department of Mechanical Engineering, Universitas 17 Agustus 1945 Jakarta, Indonesia
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Tiorivaldi - Department of Civil Engineering, Universitas 17 Agustus 1945 Jakarta, Indonesia
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Emilia Roza - Department of Electrical Engineering, UHAMKA, Indonesia
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How to Cite:
Ayed AL e’damat, Roohul Andrabi, Tundo, Rajes Khana, Joko Sutopo, Andi Saidah, Tiorivaldi, Emilia Roza, An Adroit Stratified Unrelated Question Randomized Response Model with Assorted Strategies, Journal of Statistics Applications & Probability Letters, Vol. 11, No. 3, pp: 145-166, 2024, Doi: https://dx.doi.org/10.18576/jsapl/110304
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On the Modified Alpha Power Transformed Kumaraswamy Distribution: Properties and Applications, Vol. 11, No. 3 (Sep. 2024), PP:167-182
doi:10.18576/jsapl/110305
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Authors: |
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Abdulkareem M. Basheer - Department of Mathematics, Faculty of Administrative Sciences, Albaydha University, Albaydha, Yemen
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Shamsan Al-Garash - Department of Mathematics, Faculty of Administrative Sciences, University of Saba Region, Marib, Yemen
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A. A. Modhesh - Department of Mathematics, Faculty of Administrative Sciences, Taiz University, Taiz, Yemen
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How to Cite:
Abdulkareem M. Basheer, Shamsan Al-Garash, A. A. Modhesh, On the Modified Alpha Power Transformed Kumaraswamy Distribution: Properties and Applications, Journal of Statistics Applications & Probability Letters, Vol. 11, No. 3, pp: 167-182, 2024, Doi: https://dx.doi.org/10.18576/jsapl/110305
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Concepts of Point estimators for the Stress-Strength Reliability R=P(X>Y) using the Generalized Length Biased Maxwell Distribution and Data obtained through Ranked Set Sampling, Vol. 11, No. 3 (Sep. 2024), PP:183-194
doi:10.18576/jsapl/110306
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Authors: |
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Surinder Kumar - Department of Statistics, School of Physical and Decision Sciences, BabaSaheb Bhimrao Ambedkar University, Lucknow, India- 226025
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Kavita Kesarwani - Department of Statistics, School of Physical and Decision Sciences, BabaSaheb Bhimrao Ambedkar University, Lucknow, India- 226025
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How to Cite:
Surinder Kumar, Kavita Kesarwani, Concepts of Point estimators for the Stress-Strength Reliability R=P(X>Y) using the Generalized Length Biased Maxwell Distribution and Data obtained through Ranked Set Sampling, Journal of Statistics Applications & Probability Letters, Vol. 11, No. 3, pp: 183-194, 2024, Doi: https://dx.doi.org/10.18576/jsapl/110306
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