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Estimating the Entropy of a Weibull Distribution under Generalized Progressive Hybrid Censoring
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing problem and reliability analysis. However, the limitation of the progressive hybrid censoring scheme is that it cannot be applied when few failures occur before ...
Youngseuk Cho, Hokeun Sun, Kyeongjun Lee
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Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
Minimum Expected Loss Estimators of The Parameters of the Inverse Gaussian Distribution [PDF]
The parameters of the inverse Gaussian distribution are estimated by assuming a weighted squared-error loss function and minimizing the corresponding expected loss with respect to the posterior distribution.
Mohamed Mahmoud
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We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
Bayesian Estimation of Stress Strength Reliability using Upper Record Values from Generalised Inverted Exponential Distribution [PDF]
The paper develops Bayesian estimators and HPD intervals for the stress strength reliability of generalised inverted exponential distribution using upper record values.
Ritu Kumari +2 more
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Inference on P(Y < X) Based on Ranked Set Sample for Generalized Pareto Distribution
In this paper, the problem of estimation of R = P(Y < X) based on ranked set sampling, when (X,Y) follows generalised Pareto distribution (GPD) is considered. The maximum likelihood (ML) estimators and Bayes estimators of R are obtained.
Manoj Chacko, Shiny Mathew
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Asymptotic Behavior of Bayes' Estimates
This paper extends some of the results obtained by Freedman [2]. In Section 1 a class of prior distributions on the space of all substochastic distributions on the positive integers is given, such that along almost all sample sequences the corresponding posterior distributions of the expectations of all bounded functions on the positive integers are ...
openaire +3 more sources
Bayes Estimation with Convex Loss
Let $X$ be a generalized random variable taking values in an abstract set $\mathscr{X}$ on which is defined an appropriate $\sigma$-field of subsets. Suppose that the distribution of $X$ depends on a real parameter $\Theta$ and that it is desired to estimate the value of $\Theta$ from an observation on $X$.
DeGroot, M. H., Rao, M. M.
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Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
This paper studies the Bayes estimator, the maximum likelihood estimator and the approximate likelihood estimator of the scale parameter for the Marshall-Olkin exponential distribution under the progressive type-II censored sample.
Mukhtar M. Salah
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