Results 41 to 50 of about 23,412 (229)
A Blended Sea Ice Concentration Product from AMSR2 and VIIRS
Remote Sensing, 2021 An effective blended Sea-Ice Concentration (SIC) product has been developed that utilizes ice concentrations from passive microwave and visible/infrared satellite instruments, specifically the Advanced Microwave Scanning Radiometer-2 (AMSR2) and the ...
Richard Dworak +3 more
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The equality between linear transforms of ordinary least squares and best linear unbiased estimator [PDF]
, 1998 The best linear unbiased estimator BLUE (CXb) of a linear transform CX b in the general Gauss-Markov model (y, E (y) = X b Cov (y) =a2v) is the linear transform C BLUE (Xb) of the best linear unbiased estimator BLUE (Xb) of Xb.
Groß, Jürgen, Trenkler, Götz
core
, 2010 Godambe (1955) give a general finite population sampling model and proved that a best linear unbiased estimator (BLUE) of population total does not exist when there is no measurement error.
Zhang, Ruitao
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Forest Ecosystems, 2020 Background Large area forest inventories often use regular grids (with a single random start) of sample locations to ensure a uniform sampling intensity across the space of the surveyed populations.
Steen Magnussen +6 more
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GEOGRAPHY MATTERS IN ONLINE HOTEL REVIEWS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In resonance with the popularity of user-generated contents (UGC) and the volunteered geographic information (VGI), this study crowdsourced 77,098 hotel reviews of 220 hotels provided by U.S. reviewers in the city of San Francisco, 2002 to 2015.
M. Wang, X. Zhou
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Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]
, 2007 This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared ...
MOLINA ISABEL +6 more
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Best Linear Unbiased Estimators for Repeated Surveys
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980 Summary Recent work on the problem of obtaining best linear unbiased estimators from a sample survey which is repeated on several occasions has centred on the effects of extending the model assumptions to allow for stochastic variation in the parameters being estimated.
openaire +2 more sources
Constrained Best Linear Unbiased Estimation
, 2017 The least squares (LS) estimator and the best linear unbiased estimator (BLUE) are two well-studied approaches for the estimation of a deterministic but unknown parameter vector. In many applications it is known that the parameter vector fulfills some constraints, e.g., linear constraints.
Lang, Oliver +2 more
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Ordered extreme ranked set sampling and its application in parametric estimation [PDF]
Journal of Statistical Theory and Applications (JSTA), 2016 Ranked set sampling (RSS) is applicable whenever ranking of a set of sampling units can be done easily by a judgment method or based on the measurement of an auxiliary variable which can be measured easily.
Manoj Chacko
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Desimal, 2023 The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met.
Sarmada Sarmada +2 more
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