Results 11 to 20 of about 125,543 (299)
Estimation of Linear Models of Coregionalization by Residual Maximum Likelihood
European Journal of Soil Science, 2007 Summary Observations of ancillary soil properties spatially correlated to a soil property of interest may be used to increase the precision and reduce the sampling costs of a geostatistical survey. The relationship between such coregionalized properties must be expressed as a linear model of coregionalization but the conventional ...
Marchant, B. P., Lark, R. M.
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Robust estimation of the variogram by residual maximum likelihood
Geoderma, 2007 For spatial prediction of soil variables where the local mean can be expressed as a local trend, or a linear function of some auxiliary (external drift) variable, the state-of-the-art is to estimate the spatial covariance parameters of the residual variation by residual maximum likelihood (REML).
Marchant, B. P., Lark, R. M.
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Blind Estimation of Residual Timing Error in OFDM Receivers: A Non-Data-Aided Maximum-Likelihood Approach [PDF]
2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, 2006 This paper proposes a novel non-data-aided maximum likelihood (ML) approach for the estimation of the residual timing error in OFDM receivers. The novel approach effectively utilizes the finite alphabet property of the received symbol constellation to perform a near perfect residual timing error estimation.
Chandra R. N. Athaudage +1 more
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European Journal of Soil Science, 2013 Summary Soil data accumulated in national and regional archives derive from many sources and tend to be concentrated in zones of particular interest. Experimental variograms computed from such data by the usual method of moments can appear highly erratic, and therefore models fitted to them are likely to be ...
Marchant, B. P. +2 more
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Computers & Geosciences, 2006 The variogram is essential for local estimation and mapping of any variable by kriging. The variogram itself must usually be estimated from sample data. The sampling density is a compromise between precision and cost, but it must be sufficiently dense to encompass the principal spatial sources of variance.
Webster, R. +3 more
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IEEE Access, 2020 To resolve issues such as excessive residual vibrations and unsatisfactory balance effects in the balancing process, the particle swarm optimization (PSO)algorithm is combined with the least squares influence coefficient method of rotor dynamic balance ...
Yuan Cao, Fang Li, Jianguo Cao, Tao Wang
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A New Maximum Likelihood Estimator Formulated in Pole-Residue Modal Model [PDF]
Applied Sciences, 2019 Recently, a lot of efforts have been devoted to developing more precise Modal Parameter Estimation (MPE) techniques. This is explained by the necessity in civil, mechanical and aerospace engineering of obtaining accurate estimates for the modal parameters of the tested structures, as well as of determining reliable confidence intervals for these ...
Sandro Amador +3 more
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Estimation Procedures in Linear Mixed Effects Models for Repeated Measures Data [PDF]
The Egyptian Statistical Journal, 1993 The purpose of this paper is to derive estimation procedures; namely Maximum Likelihood (ML), Residual Maximum Likelihood (RML) and Minimum Norm Quadratic Unbiased estimates (MINQUE), for estimating the parameters and variance components in linear models
H.f. El-laithy
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Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability [PDF]
International Journal of Supply and Operations Management, 2017 Recently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as
Omid Kharazmi
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Genetics Selection Evolution, 2004 Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure.
Gilmour Arthur R +2 more
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