Results 231 to 240 of about 7,836,569 (290)

Comparative Evaluation of Machine Learning Models and Conventional Formulas for LDL Cholesterol Estimation. [PDF]

Diagnostics (Basel)
Orhan B, Deniz L, Aydin C, Deveci Kocakoc I.   +3 more
europepmc   +1 more source

A Surrogate-Calibrated Updating Method for Logistic Regression With Missing Covariates. [PDF]

Stat Med
Oh J, Shin YE.
europepmc   +1 more source

Stepping Up Enhanced Rate Calculations with EATR-Flooding. [PDF]

J Chem Theory Comput
Mazzaferro N, Peña Ccoa WJ, Cossio P, Hocky GM.   +3 more
europepmc   +1 more source

Improving the reliability of district-level estimates ofteenage pregnancy in Malawi using small area estimation

Kudowa E, Manda SO, Henrion MY.
europepmc   +1 more source

Best Linear Unbiased Estimation of the nuclear masses [PDF]

Annals of Nuclear Energy, 2011
This paper presents methods to provide an optimal evaluation of the nuclear masses. The techniques used for this purpose come from data assimilation that allows combining, in an optimal and consistent way, information coming from experiment and from numerical model.
Jean-Philippe Argaud, Bertrand Bouriquet
exaly   +3 more sources

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On Multilevel Best Linear Unbiased Estimators

SIAM/ASA Journal on Uncertainty Quantification, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Schaden, Elisabeth Ullmann
openaire   +2 more sources

A Note on the Best Linear Unbiased Estimation Based on Order Statistics

American Statistician, 1997
Best linear unbiased estimators of location and scale parameters based on order statistics (from either complete or Type-II censored samples) are usually illustrated with exponential and uniform distributions.
C R Rao
exaly   +2 more sources

Constrained Best Linear and Widely Linear Unbiased Estimation

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
The least squares estimator (LSE) and the best linear unbiased estimator (BLUE) are two well-studied approaches for the estimation of deterministic but unknown parameters. In situations where the parameter vector is subject to linear constraints, the constrained LSE can be employed. In this paper, we derive the constrained version of the BLUE. In fact,
Oliver Lang, Alexander Onic, Markus Steindl, Mario Huemer   +3 more
openaire   +2 more sources