Results 111 to 120 of about 4,910,263 (217)
Kumaraswamy Modified Inverse Weibull Distribution: Theory and Application [PDF]
, 2015 In this article, we propose a generalization of the modified inverse Weibull distribution. The generalization are motivated by the recent work of Cordeiro et al. [2] and are based on the Kumaraswamy distribution.
Aryal, Gokarna, Elbatal, Ibrahim
core
Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model. [PDF]
J Appl Stat, 2022 Jana N, Bera S.
europepmc +1 more source
Advanced Functional Materials, Volume 36, Issue 73, 10 September 2026.A bio‐inspired biopolymeric implantable drug delivery platform enables localized and sustained release of 7‐ethyl‐10‐hydroxycamptothecin (SN‐38) in solid tumor treatment. The three‐dimensional (3D) structured crosslinked‐chitosan implants are fabricated via 3D‐printed molds and provide drug release over 3 months, significantly inhibiting tumor growth ...
Mercedes Lozano‐Garcia +12 more
wiley +1 more source
Fracture statistics of brittle materials: Weibull or normal distribution
, 2002 The fit of fracture strength data of brittle materials (Si3N4, SiC, and ZnO) to the Weibull and normal distributions is compared in terms of the Akaike information criterion.
Danzer R +3 more
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Estimating the Reliability Function of (2+1) Cascade Model
مجلة بغداد للعلوم, 2019 This paper discusses reliability R of the (2+1) Cascade model of inverse Weibull distribution. Reliability is to be found when strength-stress distributed is inverse Weibull random variables with unknown scale parameter and known shape parameter.
Khaleel et al.
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From Cure Rate Models to Explainable Survival Analysis: SurvSHAP Based Insights for Credit Risk
Applied Stochastic Models in Business and Industry, Volume 42, Issue 5, September/October 2026.ABSTRACT This study proposes a unified credit risk framework that combines mixture cure rate models with time‐varying SurvSHAP(t) explanations. The model separates the risk of default into incidence submodel (whether default occurs) and latency submodel (when default occurs among susceptibles).
Jacob Majakwara
wiley +1 more source
Investigation of Beta Inverse Weibull Distribution [PDF]
, 2017 The Inverse Weibull distribution is one of the widely-applied distributions. In this paper, we are going to extend the study of the Beta Inverse Weibull Distribution (BIW).
Islam, Md Nur
core
MathematicsThis paper introduces a novel bivariate distribution, referred to as the Bivariate Burr XII Inverse Weibull (BBXII-IW) distribution, constructed via the Marshall–Olkin approach from the univariate Burr XII Inverse Weibull (BXII-IW) distribution.
Ammar M. Sarhan +3 more
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Episodic Meta‐Learning for Open‐Set RF Fingerprinting and Rapid Few‐Shot Onboarding
Engineering Reports, Volume 8, Issue 9, September 2026.We present an episodic meta‐learning pipeline aimed at solving the practical issues of unknown device detection and swiftly onboarding new devices. This new approach achieves very good performance in distinguishing between known and unknown devices. ABSTRACT Large‐scale wireless sensor networks increasingly rely on radio frequency fingerprinting to ...
Emmanuel Osei Owusu +4 more
wiley +1 more source
Estimation in Inverse Weibull Distribution Based on Randomly Censored Data
Statistica, 2019 This article deals with the estimation of the parameters and reliability characteristics in inverse Weibull (IW) distribution based on the random censoring model. The censoring distribution is also taken as an IW distribution.
Kapil Kumar, Indrajeet Kumar
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