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Journal of King Saud University - Science ; 35(2), 2023.
Article in English | Scopus | ID: covidwho-2238607


The parameters, reliability, and hazard rate functions of the Unit-Lindley distribution based on adaptive Type-II progressive censored sample are estimated using both non-Bayesian and Bayesian inference methods in this study. The Newton–Raphson method is used to obtain the maximum likelihood and maximum product of spacing estimators of unknown values in point estimation. On the basis of observable Fisher information data, estimated confidence ranges for unknown parameters and reliability characteristics are created using the delta approach and the frequentist estimators' asymptotic normality approximation. To approximate confidence intervals, two bootstrap approaches are utilized. Using an independent gamma density prior, a Bayesian estimator for the squared-error loss is derived. The Metropolis–Hastings algorithm is proposed to approximate the Bayesian estimates and also to create the associated highest posterior density credible intervals. Extensive Monte Carlo simulation tests are carried out to evaluate the performance of the developed approaches. For selecting the optimum progressive censoring scheme, several optimality criteria are offered. A practical case based on COVID-19 data is used to demonstrate the applicability of the presented methodologies in real-life COVID-19 scenarios. © 2022 The Author(s)

Critical Care Medicine ; 51(1 Supplement):502, 2023.
Article in English | EMBASE | ID: covidwho-2190654
Critical Care Medicine ; 51(1 Supplement):163, 2023.
Article in English | EMBASE | ID: covidwho-2190512
Open Forum Infectious Diseases ; 9(Supplement 2):S205, 2022.
Article in English | EMBASE | ID: covidwho-2189627
Journal of King Saud University - Science ; : 102462, 2022.
Article in English | ScienceDirect | ID: covidwho-2122623
Journal of Sleep Research Conference: 26th Conference of the European Sleep Research Society Athens Greece ; 31(Supplement 1), 2022.
Article in English | EMBASE | ID: covidwho-2114139
JACCP Journal of the American College of Clinical Pharmacy ; 5(7):771, 2022.
Article in English | EMBASE | ID: covidwho-2003613
Agricultural Economics ; 53(1):72-89, 2022.
Article in English | Africa Wide Information | ID: covidwho-1970443
Gastroenterology ; 162(7):S-1279-S-1280, 2022.
Article in English | EMBASE | ID: covidwho-1967445
Gastroenterology ; 162(7):S-463-S-464, 2022.
Article in English | EMBASE | ID: covidwho-1967308
Gastroenterology ; 162(7):S-383, 2022.
Article in English | EMBASE | ID: covidwho-1967304
Sleep ; 45(SUPPL 1):A23, 2022.
Article in English | EMBASE | ID: covidwho-1927383
International Journal of Health Governance ; 2022.
Article in English | EMBASE | ID: covidwho-1915903
Journal of Information and Knowledge Management ; 2022.
Article in English | Scopus | ID: covidwho-1861659
Indian Journal of Clinical Biochemistry ; 36(SUPPL 1):S3-S4, 2021.
Article in English | EMBASE | ID: covidwho-1767673
International Journal of Epidemiology ; 50(4):1071-1076, 2021.
Article in English | EMBASE | ID: covidwho-1735570
Qual Quant ; 56(6): 4729-4746, 2022.
Article in English | MEDLINE | ID: covidwho-1694387


There are many discussions in the media about an interval (delay) from the time of the infections to deaths. Apart from the curiosity of the researchers, defining this time interval may, under certain circumstances, be of great organizational and economic importance. The study considers an attempt to determine this difference through the correlations of shifted time series and a specific bootstrapping that allows finding the distance between local maxima on the series under consideration. We consider data from Poland, the USA, India and Germany. The median of the difference's distribution is quite consistent for such diverse countries. The main conclusion of our research is that the searched interval has rather a multimodal form than unambiguously determined.

Critical Care Medicine ; 50(1 SUPPL):228, 2022.
Article in English | EMBASE | ID: covidwho-1691885