Results 201 to 210 of about 558,384 (291)

A KL-divergence-based test for elliptical distribution. [PDF]

J Nonparametr Stat
Tang Y, Ma Y, Li B.
europepmc   +1 more source

Mixing Behavior of Natural Gas and Hydrogen in a High‐Efficiency Vane (HEV) Static Mixer

Energy Science &Engineering, EarlyView.
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, Jun Zheng, Weiqing Xu, Dewen Kong, Yan Shi, Maolin Cai   +5 more
wiley   +1 more source

Inferring on Joint Associations From Marginal Associations and a Reference Sample. [PDF]

Biom J
Frostig T, Heller R.
europepmc   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
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, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Friction-Induced Thermal Effects in an FGM Layer in Contact with a Homogeneous Layer. [PDF]

Materials (Basel)
Topczewska K.
europepmc   +1 more source

Coherent Forecasting of Realized Volatility

Journal of Forecasting, EarlyView.
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

A Primer on Large-Sample Statistical Inference for Epidemiologists. [PDF]

Epidemiol Methods
Shook-Sa BE, Cole SR, Zivich PN, Edwards JK, Krajewski TJ, Feeney T, Adimora A, Hudgens MG.   +7 more
europepmc   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

A comparison of Kaplan-Meier-based inverse probability of censoring weighted regression methods. [PDF]

Lifetime Data Anal
Overgaard M.
europepmc   +1 more source