Results 71 to 80 of about 689,864 (186)

Efficient estimation method of population mean with non-response and observational error under ORRT models

Research in Statistics
This study addresses the difficulties faced by surveyors in collecting responses to sensitive questions, which lead to non-sampling errors such as non-response and observational error.
Sunil Kumar, Chanda Rani, Housila P. Singh, J. P. S. Joorel   +3 more
doaj   +1 more source

Linear Meta-Model optimization for regional climate models (LiMMo version 1.0) [PDF]

Geoscientific Model Development
A new tool for objective parameter tuning of regional climate models is presented. The climate model output was emulated using a linear regression approach for each grid point on a monthly mean basis. This linear approximation showed decent accuracy over
S. Petrov, A. Will, B. Geyer
doaj   +1 more source

Error Cascades in Observational Learning: An Experiment on the Chinos Game [PDF]

The paper reports an experimental study based on a variant of the popular Chinos game, which is used as a simple but paradigmatic instance of observational learning.
Fernando Vega Redondo, Francesco Feri, Giovanni Ponti, Miguel A. Melendez-Jimenez   +3 more
core  

Summarizing multiple aspects of triple collocation analysis in a single diagram

Frontiers in Remote Sensing
With the ongoing expansion of global observation networks, it is expected that we shall routinely analyze records of geophysical variables such as temperature from multiple collocated instruments.
Leong Wai Siu, Xubin Zeng, Armin Sorooshian, Armin Sorooshian, Brian Cairns, Richard A. Ferrare, Johnathan W. Hair, Chris A. Hostetler, David Painemal, David Painemal, Joseph S. Schlosser, Joseph S. Schlosser   +11 more
doaj   +1 more source

Numerical Studies on Forecast Error Correction of GRAPES Model with Variational Approach

Advances in Meteorology, 2019
To implement deterministic short-range numerical weather forecast error correction, this study develops a novel approach using the variational method and historical data.
Dengxin He, Zhimin Zhou, Zhaoping Kang, Lin Liu   +3 more
doaj   +1 more source

Contribution of Extragalactic Infrared Sources to CMB Foreground Anisotropy

, 1996
We estimate the level of confusion to Cosmic Microwave Background anisotropy measurements caused by extragalactic infrared sources. CMB anisotropy observations at high resolution and high frequencies are especially sensitive to this foreground.
Andreani P., Block D. L., Chini R., Chini R., Eric Gawiser, George F. Smoot, Pearson C., Puget J.-L., Rowan-Robinson M., Smoot G. F., Tegmark M., Toffolatti L.   +11 more
core   +3 more sources

EVALUATION AND IDENTIFICATION OF MEDICATION ERRORS IN DIABETIC AND GENERAL MEDICINE DEPARTMENT OF CHANDKA MEDICAL COLLEGE HOSPITAL LARKANA

Pakistan Armed Forces Medical Journal, 2018
Objective: To assess and find out the events of medication errors and to classify the medication error in the diabetology and general medicine department. Study Design: The longitudinal cohort prospective observational study. Place and Duration
Altaf Ali Mangi
doaj  

Automation in Middle- and Upper-Atmosphere LIDAR Operations: A Maximum Rayleigh Altitude Prediction System Based on Night Sky Imagery

Remote Sensing
A prediction system was developed to determine the maximum Rayleigh altitude (MRA) by improving the automated detection of LIDAR power-on conditions and adapting to advancements in middle- and upper-atmosphere LIDAR technology.
Junfeng Wei, Linmei Liu, Xuewu Cheng, Yi Fan, Weiqiang Zhan, Lifang Du, Wei Xiong, Zhaoxiang Lin, Guotao Yang   +8 more
doaj   +1 more source

An elastic net orthogonal forward regression algorithm

, 2012
In this paper we propose an efficient two-level model identification method for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level
Chen, Sheng, Hong, Xia
core  

The observation range adjusted method: a novel approach to accounting for observation uncertainty in model evaluation

Environmental Research Communications
Model evaluations are performed by comparing a modelled quantity with an observation of that quantity and any deviation from this observed quantity is considered an error.
J P Evans, H M Imran
doaj   +1 more source