Results 211 to 220 of about 11,729 (266)

A Sequential Design for Extreme Quantile Estimation Under Binary Sampling. [PDF]

Entropy (Basel)
Broniatowski M, Miranda E.
europepmc   +1 more source

Inhomogeneous spatio-temporal epidemic-type aftershock sequence model incorporating seismicity-triggering slow slip events. [PDF]

Sci Rep
Bañales I, Nishikawa T, Ito Y, Kostoglodov V, Kazachkina E, Santiago J.   +5 more
europepmc   +1 more source

Multi-constraint model predictive control of flexible joint drive system based on unknown state estimator and constraint adaptive hierarchical planning. [PDF]

Sci Rep
Song C, Du Q, Guo X.
europepmc   +1 more source

Advanced receiver design for AF-FD cooperative schemes. [PDF]

Sci Rep
Al-Hattab M, Mostafa H, Marey M.
europepmc   +1 more source

Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration. [PDF]

Sci Rep
Ali OM, Radwan AMA, Radwan OMA, Elsherbini MM.   +3 more
europepmc   +1 more source

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The Bias and Accuracy of Moment Estimators

Biometrika, 1970
SUMMARY A new method for finding the biases and covariances of moment estimators to order n-2 is outlined and compared with existing solutions. It is thought that the new approach is likely to be particularly useful for cases where moment estimation is complicated.
Robertson, C. A., Fryer, J. G.
openaire   +2 more sources

Moments estimation in Radon space

Pattern Recognition Letters, 1994
Summary: We show a method of obtaining general and orthogonal moments, specifically Legendre and Zernike moments, from the Radon Transform data of a two-dimensional function. The regular or geometric moments are first evaluated directly from the projection data and the orthogonal moments are derived from these regular moments.
Hiriyannaiah, Harish P, Ramakrishnan, KR
openaire   +3 more sources

Moment Estimators and Maximum Likelihood

Biometrika, 1958
where J'q2(x) P(x; 0) dx = Or, J'q(x) qq(x) P(x; 0) dx = 0 (r+ s). (2) To avoid undue complication at this stage we assume P(x; 0) is continuous throughout its range. We reconsider the restrictions on P in a subsequent section.
openaire   +1 more source