Results 171 to 180 of about 43,795 (242)
On the mixed-model analysis of covariance in cluster-randomized trials. [PDF]
Wang B +5 more
europepmc +1 more source
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai +7 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]
Newer HA.
europepmc +1 more source
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan +4 more
wiley +1 more source
Semiparametric outcome regression-based estimator of Mann-Whitney-type causal effect. [PDF]
Sani SS +11 more
europepmc +1 more source
Mixing Behavior of Natural Gas and Hydrogen in a High‐Efficiency Vane (HEV) Static Mixer
Static mixers play a crucial role in the safe transport of hydrogen‐blended natural gas. Computational fluid dynamics (CFD) was employed to investigate the effects of structural parameters of the HEV static mixer on the mixing behavior and homogeneity of natural gas and hydrogen. The modeling approach was well validated against experimental data.
Xiang Zhou +5 more
wiley +1 more source
An Approach to Fisher-Rao Metric for Infinite Dimensional Non-Parametric Information Geometry. [PDF]
Cheng B, Tong H.
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Likelihood-Based Non-Parametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard. [PDF]
Sun Y, Sang P, Tian Q, Li P.
europepmc +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source

