Results 71 to 80 of about 44,938 (219)
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Bayesian Fractional Weibull Regression for Reliability Prognostics and Predictive Maintenance
This paper introduces a novel Bayesian Fractional Weibull (BFW) regression framework, which generalizes the classical Weibull accelerated failure time model using fractional calculus.
Muath Awadalla, Manigandan Murugesan
doaj +1 more source
Concentration inequalities form an essential toolkit in the study of high dimensional (HD) statistical methods. Most of the relevant statistics literature in this regard is based on sub-Gaussian or sub-exponential tail assumptions.
Chakrabortty, Abhishek +1 more
core
Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning
ABSTRACT Accelerated life tests (ALTs) are essential tools for estimating product reliability under high‐stress conditions, allowing failure data to be collected in reduced timeframes. However, planning effective ALT configurations is a complex task that requires selecting stress levels, test durations, and unit allocations while accounting for limited
Allan Jonathan da Silva +3 more
wiley +1 more source
Residual Analysis for Poisson-Exponentiated Weibull Regression Models with Cure Fraction
The use of cure-rate survival models has grown in recent years. Even so, proposals to perform the goodness of fit of these models have not been so frequent. However, residual analysis can be used to check the adequacy of a fitted regression model.
Cleanderson R. Fidelis +2 more
doaj +1 more source
Abstract Research Summary We study how the entry of a rival platform affects the strategies of the incumbent's complementors. The latter face a trade‐off: While the entry threatens their benefits from indirect network effects, it also allows them to escape intense within‐platform competition.
Johannes Loh, Ambre Elsas‐Nicolle
wiley +1 more source
ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li +3 more
wiley +1 more source
Efficient experimental designs for sigmoidal growth models [PDF]
For the Weibull- and Richards-regression model robust designs are determined by maximizing a minimum of D- or D1-efficiencies, taken over a certain range of the non-linear parameters.
Dette, Holger, Pepelyshev, Andrey
core
Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests worldwide are increasingly impacted by drought due to climate change, prompting plants to adapt through dehydration tolerance (DT) and avoidance (DA), two distinct physiological strategies.
Xingyun Liang +11 more
wiley +1 more source
Discrimination between the lognormal and Weibull Distributions by using multiple linear regression
In reliability analysis, both the Weibull and the lognormal distributions are analyzed by using the observed data logarithms. While the Weibull data logarithm presents skewness, the lognormal data logarithm is symmetrical. This paper presents a method to
Jesus Francisco Ortiz-Yañez +1 more
doaj +1 more source

