Results 251 to 260 of about 88,180 (332)
Evolutionarily Optimal Risk Aversion
ABSTRACT In an experimental choice situation, we identify risk‐acceptability thresholds and show how such thresholds are updated in response to benchmark information, a recurrent feature of health, safety, and environmental (HS&E) risk governance. We present a theoretical framework linking the observed behavior to an underlying evolutionary parameter ...
Chmura, Nguyen, Biermann
wiley +1 more source
Transition Behavior in Blended Material Large Format Additive Manufacturing. [PDF]
Brackett J +7 more
europepmc +1 more source
Omnibus goodness‐of‐fit tests for univariate continuous distributions based on trigonometric moments
ABSTRACT We propose a new omnibus goodness‐of‐fit test based on trigonometric moments of probability‐integral‐transformed data. The test builds on the framework of the LK test introduced by Langholz and Kronmal [J. Amer. Statist. Assoc. 86 (1991), 1077–1084], but fully exploits the covariance structure of the associated trigonometric statistics.
Alain Desgagné, Frédéric Ouimet
wiley +1 more source
A New Estimation Algorithm for Destructive Cure Model: Illustration with Exponentially Weighted Poisson Competing Risks. [PDF]
Pal S, Roy S.
europepmc +1 more source
Parameter Estimation for the Two-Parameter Weibull Distribution
Mark A. Nielsen
openalex +1 more source
The joint survival super learner: A super learner for right‐censored data
ABSTRACT Risk prediction models are widely used to guide real‐world decision‐making in areas such as healthcare and economics, and they also play a key role in estimating nuisance parameters in semiparametric inference. The super learner is a machine learning framework that combines a library of prediction algorithms into a meta‐learner using cross ...
Anders Munch, Thomas A. Gerds
wiley +1 more source
Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing. [PDF]
Komee, Pachauri B.
europepmc +1 more source
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source

