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RISParametric estimation for sub fractional Ornstein–Uhlenbeck process
Publisher: Elsevier Science
Year: 2013
Partial least squares classification for high dimensional data using the PCOUT algorithm
Publisher: Springer-Verlag
Year: 2013
Goodness of fit indices for partial least squares path modeling
Publisher: Springer-Verlag
Year: 2013
V optimal designs for heteroscedastic regression
Publisher: Elsevier Science
Year: 2014
OCTOPUS: Efficient query execution on dynamic mesh datasets
Publisher: IEEE
Year: 2014
A quantitative PGNAA study for use in aqueous solution measurements using Am-Be neutron source and BGO scintillation detector
Year: 2016
Abstract:
data libraries for two different procedures based on neural network and least squares methods. The results confirm the feasibility and precision of the proposed methods....
Kernel continuum regression
Year: 2013
Asymmetric least squares support vector machine classifiers
Publisher: Elsevier Science
Year: 2014
Estimation of the Lomax distribution in the Presence of Outliers
Year: 2016
Abstract:
In this paper, we find the moment, maximum likelihood, least squares and
weighted least squares estimators of the parameters of Lomax distribution in the presence
of outliers. Also, the mixture estimator of these four methods...
A new framework for designing linear-phase FIR filters based on extended least square errors
Year: 2006
Abstract:
In this paper a new iterative algorithm based on least square error method (LS) called extended LS (ELSE) is proposed to automatically design linear-phase FIR filters with any desired frequency response (DFR) and limited deviations. Minimizing a...