Results 291 to 300 of about 6,110,974 (353)
ABSTRACT Process capability indices (PCIs) are commonly used to evaluate a process's performance in relation to the standards. Greater PCIs do not necessarily translate into lower rejection rates, even though they do indicate a higher level of process quality. Thus, a loss‐ and cost‐based PCI is a better way to measure process capability.
Sanku Dey, Chanseok Park
wiley +1 more source
Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction
ABSTRACT Risk prediction is a key component of survival analysis across various fields, including medicine, public health, economics, engineering, and others. The fundamental concern of risk prediction lies in the joint distribution of risk factors and the time to event.
Zhiyang Zhou +12 more
wiley +1 more source
ABSTRACT Not accounting for competing events in survival analysis can lead to biased estimates, as individuals who die from other causes do not have the opportunity to develop the event of interest. Formal definitions and considerations for causal effects in the presence of competing risks have been published, but not for the mediation analysis setting
Arce Domingo‐Relloso +9 more
wiley +1 more source
ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley +1 more source
Abstract Purpose To evaluate test–retest variability (TRV) of the full‐field stimulus test (FST) in patients with retinitis pigmentosa (RP) and poor best‐corrected visual acuity (BCVA; ≤20/50 Snellen; ≥0.40 logMAR), and to assess the reliability of FST as a clinical endpoint in future RP trials.
J. S. Karuntu +2 more
wiley +1 more source
Estimation of Reliability under Conditional Stress - Strength Setup based on Weibull Distribution
M. Architha, Parameshwar V. Pandit
openalex +2 more sources
Parameter Estimation for the Two-Parameter Weibull Distribution
Mark A. Nielsen
openalex +1 more source

