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Inverse power XLindley distribution with statistical inference and applications to engineering data. [PDF]

Sci Rep
Hassan AS, Alsadat N, Chesneau C, Elgarhy M, Kayid M, Nasiru S, Gemeay AM.   +6 more
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The R2D2 prior for generalized linear mixed models. [PDF]

Am Stat
Yanchenko E, Bondell HD, Reich BJ.
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A Comparison of Hospice Care Utilization Between Rural and Urban Children in Appalachia: A Geographic Information Systems Analysis. [PDF]

Am J Hosp Palliat Care
Svynarenko R, Huang G, Keim-Malpass J, Cozad MJ, Qualls KA, Stone Sharp W, Kirkland DA, Lindley LC.   +7 more
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Linking aerobic scope to fitness in the wild reveals potential opportunities to help recover imperiled salmon populations. [PDF]

Commun Biol
Burford BP, Lehman BM, Zillig KW, Lo VK, McInturf AG, Kwan GT, Cocherell DE, Fangue NA, Michel CJ.   +8 more
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Development and Progression of Bovine Respiratory Disease Measured Using Clinical Respiratory Scoring and Thoracic Ultrasonography in Preweaned Calves on Dairy Farms in the United Kingdom: A Prospective Cohort Study. [PDF]

Animals (Basel)
Lindley G, Blackie N, Wathes DC, Booth RE.   +3 more
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Data analysis with applications in physics and engineering using XLindley model with improved adaptive Type-II progressively censored samples. [PDF]

Heliyon
Alotaibi R, Nassar M, Elshahhat A.
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E-Bayesian Estimation Using Spacing Function for Inverse Lindley Adaptive Type-I Progressively Censored Samples: Comparative Study with Applications. [PDF]

Appl Bionics Biomech
Nassar M, Alotaibi R, Elshahhat A.
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Hierarchical Bayesian Regression for experimental psychology: a case study of cognitive control. [PDF]

Front Psychol
Dudey TA, Jackson JJ, Cooper SR, Braver TS.   +3 more
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Stacking Models of Growth: A Methodology for Predicting the Pace of Progress to the Education Sustainable Development Targets Using International Large-Scale Assessments. [PDF]

Psychometrika
Kaplan D, Harra K, Stampka J, Jude N.
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Bayesian estimation on interval censored Lindley distribution using Lindley’s approximation

International Journal of System Assurance Engineering and Management, 2016
Interval censored data commonly arise in engineering and biomedical sciences. The present study deals with Bayesian estimation of interval censored lifetime data while it is assumed that lifetimes follow Lindley distribution. Assuming Jeffrey’s and gamma prior distributions, Bayes estimator of the Lindley parameter has been constructed under symmetric,
Vikas Kumar Sharma, Sanjay Kumar Singh, Umesh Singh, Khair Ul-Farhat   +3 more
openaire   +3 more sources