Results 31 to 40 of about 403,368 (289)

A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter [PDF]

, 2003
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Newey, Whitney K., Ramalho, Joaquim J.S., Smith, Richard J.   +2 more
core   +1 more source

Geometric View of Measurement Errors [PDF]

, 2010
The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of a polynomial of degree four. This geometric view of measurement errors is used to give insight into the performance of various slope estimators for the ...
Copas J., Deming W. E., Diarmuid O'driscoll, Donald E. Ramirez, Hussin A. G., Lindley D., Linnet K., Linnet K., O'Driscoll D., Solari M., Sprent P.   +10 more
core   +2 more sources

Colloquium: Quantum root-mean-square error and measurement uncertainty relations [PDF]

Reviews of Modern Physics, 2014
Recent years have witnessed a controversy over Heisenberg’s famous error-disturbance relation. Here the conflict is resolved by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. Two approaches to adapting the classic notion of root-mean-square error to quantum measurements are discussed ...
Paul Busch, Pekka Lahti, Reinhard F. Werner   +2 more
openaire   +2 more sources

Use of Machine Learning to Predict the Glycemic Status of Patients with Diabetes

Medical Sciences Forum, 2022
In this work, a machine learning methodology is used to predict the progress of the glycemic values of six patients with diabetes. Eight different algorithms are compared i.e., ANN, PNN, Polynomial Regression, Gradient Boosted Trees Regression, Random ...
Alessandro Massaro, Nicola Magaletti, Gabriele Cosoli, Angelo Leogrande, Francesco Cannone   +4 more
doaj   +1 more source

Modelling the spatial distribution of DEM Error [PDF]

, 2005
Assessment of a DEM’s quality is usually undertaken by deriving a measure of DEM accuracy – how close the DEM’s elevation values are to the true elevation.
Bolstad P V, Burrough P A, Carlisle B H, Carlisle B H, Day T, Ehlschlaeger C R, Eklundh L, Evans I S, Fisher P, Fotheringham A S, Fotheringham A S, Giles P T, Guth P, Horn B K, Hunter G J, Kumler M P, Li Z, McDermid G J, Monckton C, Sasowsky K C, Theobald D M, Weibel R, Wood J D, Zevenbergen L W   +23 more
core   +1 more source

Investigation of the efficiency of support vector machine in predicting changes in water quality parameters (Case study: Choghakhor International Wetland) [PDF]

بوم‌شناسی آبزیان, 2020
Inland waters, such as wetlands, are considered to be sensitive ecosystems, and sustainable productivity can only be achieved by adopting an appropriate environmental approach.
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doaj  

Multi-region electricity demand prediction with ensemble deep neural networks.

PLoS ONE, 2023
Electricity consumption prediction plays a vital role in intelligent energy management systems, and it is essential for electricity power supply companies to have accurate short and long-term energy predictions.
Muhammad Irfan, Ahmad Shaf, Tariq Ali, Mariam Zafar, Saifur Rahman, Salim Nasar Faraj Mursal, Faisal AlThobiani, Majid A Almas, H M Attar, Nagi Abdussamiee   +9 more
doaj   +1 more source

Multiple Feature Extraction Long Short-Term Memory Using Skip Connections for Ship Electricity Forecasting

Journal of Marine Science and Engineering, 2023
The power load data of electric-powered ships vary with the ships’ operational status and external environmental factors such as sea conditions. Therefore, a model is required to accurately predict a ship’s power load, which depends on changes in the ...
Ji-Yoon Kim, Jin-Seok Oh
doaj   +1 more source

Decomposition of the mean absolute error (MAE) into systematic and unsystematic components.

PLoS ONE, 2023
When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
Scott M Robeson, Cort J Willmott
doaj   +1 more source

Optimizing Neural Networks Using Particle Swarm Optimization (PSO) Algorithm for Hypertension Disease Prediction

Journal of Electrical Engineering and Computer, 2023
Penyakit hipertensi atau tekanan darah tinggi merupakan masalah kesehatan yang signifikan secara global. Prediksi yang akurat tentang risiko hipertensi dapat membantu dalam pencegahan, diagnosa, dan pengobatan dini. Dalam penelitian ini, kami mengusulkan
Sudriyanto Sudriyanto
doaj   +1 more source