Results 151 to 160 of about 118,514 (262)

On the mixed-model analysis of covariance in cluster-randomized trials. [PDF]

Stat Sci
Wang B, Harhay MO, Tong J, Small DS, Morris TP, Li F.   +5 more
europepmc   +1 more source

Assimilation of European and global Mode‐S aircraft observations into the Met Office global deterministic numerical weather prediction model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
European and global Mode‐S aircraft reports have been assimilated into the Met Office global deterministic numerical weather prediction model, improving forecast accuracy for wind, temperature, and geopotential height. This is the first time global Mode‐S network data have been assimilated, which include data from under‐observed regions, and has ...
Elliott Warren, Warren Tennant, Edmund Stone, Joanne Waller, Christopher Thomas, Adam Maycock   +5 more
wiley   +1 more source

Multicomponent stress-strength reliability analysis using the inverted exponentiated rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records. [PDF]

Sci Rep
Newer HA.
europepmc   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 more
wiley   +1 more source

Constructing G-computation Estimators: Two Case Studies in Selection Bias. [PDF]

Epidemiology
Zivich PN, Lu H.
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

The Cox Model With Adaptive Fused Group Bridge Penalty to Incorporate Historical Data Into the Analysis of Clinical Trials With an Application to BMT CTN 1101. [PDF]

Stat Med
Fang X, Kim S, Martens MJ, Logan BR, Woo Ahn K.   +4 more
europepmc   +1 more source

Quantifying driving ensemble influence on operational convection‐permitting ensemble spread

Quarterly Journal of the Royal Meteorological Society, EarlyView.
By comparing statistics of precipitation patterns between a convection‐permitting ensemble and the global ensemble used to drive it, we investigate the conditions under which the convection‐permitting ensemble diverges from the evolution of the driving ensemble.
Adam Gainford, Suzanne L. Gray, Thomas H. A. Frame, Aurore N. Porson, Marco Milan   +4 more
wiley   +1 more source

Bayesian and non-Bayesian estimation of the bivariate inverse Weibull distribution parameters using ranked set sampling with concomitant variable. [PDF]

Sci Rep
Muhammed HZ, Shaaban M.
europepmc   +1 more source

Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning

Quality and Reliability Engineering International, EarlyView.
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, Carlos A. A. Gomes, Lucas R. de Souza, Rhenan S. dos Santos   +3 more
wiley   +1 more source