Results 71 to 80 of about 363 (160)
, 2023 In this paper, we have considered estimation of unknown parameters based on lower record values for Inverted Kumaraswamy distribution. Maximum likelihood and approximate Bayes estimators based on lower record values for unknown parameters of this distribution are obtained.
Sana, Faizan, Mohammad, Khan, Athar Ali
openaire +1 more source
Fisheries Oceanography, Volume 35, Issue 3, Page 397-412, May 2026.ABSTRACT Chinook salmon exhibit far‐flung and disparate population‐specific marine migrations that have made it difficult to assess their trophic ecology. In this study, we collected returning and resident subadult Fraser River Chinook salmon in 2018 and 2019 from population groups with different known run‐timings (spring, summer, and fall) and marine ...
Jacob E. Lerner, Brian P. V. Hunt
wiley +1 more source
MathematicsThis study explores accelerated life tests to examine the durability of highly reliable products. These tests involve applying higher stress levels, such as increased temperature, voltage, or pressure, that cause early failures.
Hanan Haj Ahmad, Mahmoud M. El-Awady
doaj +1 more source
Journal of Advanced Nursing, Volume 82, Issue 5, Page 5548-5555, May 2026.ABSTRACT Aim To canvas the contemporary contextual forces within the Australian residential aged care sector and argue for new research and innovation. There is a pressing need to provide systematised, high‐quality and person‐centred care to our ageing populations, especially for those who rely on residential care.
Ramon Z. Shaban +13 more
wiley +1 more source
Simulating Tail Probabilities in GI/GI.1 Queues and Insurance Risk Processes with Subexponentail Distributions [PDF]
, 2001 This paper deals with estimating small tail probabilities of thesteady-state waiting time in a GI/GI/1 queue with heavy-tailed (subexponential) service times.
Boots, Nam Kyoo, Shahabuddin, Perwez
core +2 more sources
Applications of the distance measures between the prior and posterior distributions [PDF]
, 1984 In a typical inferential problem, the conclusion reached by a Bayesian statistician depends on three components: the prior distribution, the likelihood function, and the observed sample data.
Martin, Cindy Lynn
core +3 more sources
Public Health Nursing, Volume 43, Issue 3, Page 585-594, May/June 2026.ABSTRACT Background Despite national efforts to improve insurance coverage, access to medical care in rural U.S. communities remains limited. While insurance is a well‐established enabler of healthcare utilization, its relationship to perceived access among rural adults is underexplored.
Christian Ketel, Lisa C. Lindley
wiley +1 more source
Ecological Applications, Volume 36, Issue 3, April 2026.Abstract Identifying key life history periods in which population productivity is constrained represents a persistent challenge in conservation and natural resource management. For species with complex life cycles, such as Pacific salmon (Oncorhynchus spp.), population dynamics may be shaped by interactions between natural and anthropogenic impacts ...
Lukas B. DeFilippo +6 more
wiley +1 more source
Simulation based Bayesian econometric inference: principles and some recent computational advances [PDF]
In this paper we discuss several aspects of simulation based Bayesian econometric inference. We start at an elementary level on basic concepts of Bayesian analysis; evaluating integrals by simulation methods is a crucial ingredient in Bayesian inference.
HOOGERHEIDE, Lennart F. +2 more
core +3 more sources
Bayesian estimation of P[Y \u3c X] Based on Record Values from the Lomax Distribution and MCMC Technique [PDF]
, 2016 Our interest is in estimating the stress-strength reliability R = P[Y \u3c X], where X and Y follow the Lomax distribution with common scale parameter.
Abd Ellah, Ahmed H +3 more
core +2 more sources