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RISParametric estimation for sub fractional Ornstein–Uhlenbeck process
ناشر: Elsevier Science
سال: 2013
Partial least squares classification for high dimensional data using the PCOUT algorithm
ناشر: Springer-Verlag
سال: 2013
Goodness of fit indices for partial least squares path modeling
ناشر: Springer-Verlag
سال: 2013
V optimal designs for heteroscedastic regression
ناشر: Elsevier Science
سال: 2014
OCTOPUS: Efficient query execution on dynamic mesh datasets
ناشر: IEEE
سال: 2014
A quantitative PGNAA study for use in aqueous solution measurements using Am-Be neutron source and BGO scintillation detector
سال: 2016
خلاصه:
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
سال: 2013
Asymmetric least squares support vector machine classifiers
ناشر: Elsevier Science
سال: 2014
Estimation of the Lomax distribution in the Presence of Outliers
سال: 2016
خلاصه:
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
سال: 2006
خلاصه:
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...