Results 321 to 330 of about 2,762,871 (394)

Time to benefit estimation in multicenter studies using flexible hazard shared frailty models. [PDF]

BMC Med Res Methodol
Lu M, Wu Z, Zhao Y, Shao F.
europepmc   +1 more source

Indirect estimation of serum enzymes reference intervals in adults using the reflimR and refineR algorithms. [PDF]

Biochem Med (Zagreb)
Yıldız R, Arslan FD, Köseoğlu M.
europepmc   +1 more source

Biologically informed dual deep learning for skeletal maturity prediction in pediatrics. [PDF]

Front Radiol
Rezk E.
europepmc   +1 more source

Acquisition Activity in the United Kingdom: Parametric and Semi-Parametric Estimation

, 2000
John E. Hunter, Stelios Komis
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PARAMETRIC ESTIMATION OF THE DIRECTIONAL WAVE SPECTRUM FROM SHIP MOTIONS

International Journal of Maritime Engineering, 2021
A parametric estimation of the directional wave spectrum based on ship motions is presented. The estimation of the sea- state parameters is essential to have an updated data base of the main characteristics of the sea-state, which are useful for several ...
M. Hinostroza, C. Guedes Soares
semanticscholar   +1 more source

A fast parametric estimation approach of signals with multiple frequency harmonics

Electric Power Systems Research, 2017
FRANCISCO Beltran-Carbajal, G Silva-Navarro   +1 more
exaly   +2 more sources

On parametric density estimation

Biometrika, 1989
Let p(x,\(\vartheta)\) be the density of a random variable x. A random sample \(s_ n=(x_ 1,...,x_ n)\) of size n is available from the distribution. By y a future observation from this distribution is denoted. Two distinct methods of estimating p(y\(| \vartheta)\) are known. The estimative method uses \[ p(y| {\hat \vartheta}_ n)=p(y| \vartheta ={\hat \
El-Sayyad, G. M., Samiuddin, M., Al-Harbey, A. A.   +2 more
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Unsupervised Feature Learning via Non-parametric Instance Discrimination

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so.
Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin   +3 more
semanticscholar   +1 more source

Parametric Estimation of Cumulants

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
The problem of higher-order cumulants estimation is addressed in this paper. Higher-order cumulants are necessary in many applications, such as blind source separation (BSS) and blind deconvolution. In these applications, the cumulants are usually estimated using sample estimation.
Yair Noam, Joseph Tabrikian
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Non-parametric estimation of route travel time distributions from low-frequency floating car data

Transportation Research Part C: Emerging Technologies, 2015
Mahmood Rahmani, Erik Jenelius, Haris N Koutsopoulos   +2 more
exaly   +2 more sources