Results 61 to 70 of about 23,412 (229)
Fast and accurate modelling of longitudinal and repeated measures neuroimaging data [PDF]
, 2014 Despite the growing importance of longitudinal data in neuroimaging, the standard analysis methods make restrictive or unrealistic assumptions (e.g., assumption of Compound Symmetry—the state of all equal variances and equal correlations—or spatially ...
Thompson, P.M. +11 more
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Best linear unbiased estimation for varying probability with and without replacement sampling
Special Matrices, 2019 When sample survey data with complex design (stratification, clustering, unequal selection or inclusion probabilities, and weighting) are used for linear models, estimation of model parameters and their covariance matrices becomes complicated.
Haslett Stephen
doaj +1 more source
Combination of measurements and the BLUE method
EPJ Web of Conferences, 2017 The most accurate method to combine measurements from different experiments is to build a combined likelihood function and use it to perform the desired inference.
Lista Luca
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Induced Ranked Set Sampling when Units are Inducted from Several Populations
Statistica, 2018 The method of ranked set sampling when units are to be inducted from several bivariate populations is introduced in this work. The best linear unbiased estimation of a common parameter of two bivariate Pareto distributions is discussed based on the n ...
P. Yageen Thomas, Anne Philip
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Noise Handling Capabilities of Multivariate Calibration Methods [PDF]
Modeling, Identification and Control, 2002 The noise handling capabilities of principal component regression (PCR) and partial least squares regression (PLSR) are somewhat disputed issues, especially regarding regressor noise.
Rolf Ergon
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The Best Linear Unbiased Estimator for Continuation of a Function
, 2010 We show how to construct the best linear unbiased predictor (BLUP) for the continuation of a curve in a spline-function model. We assume that the entire curve is drawn from some smooth random process and that the curve is given up to some cut point. We demonstrate how to compute the BLUP efficiently. Confidence bands for the BLUP are discussed. Finally,
Goldberg, Yair +2 more
openaire +2 more sources
Estimation of Modulation Index for Partial Response CPM Signal
IEEE Access, 2018 Continuous phase modulation (CPM) is a power and bandwidth efficient modulation scheme used in cellular, personal, and satellite communications among other applications.
Tayyaba Munawar +3 more
doaj +1 more source
Empirical Best Linear Unbiased Prediction for Out of Sample Areas
, 2005 Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random ...
Saei, Ayoub, Chambers, Ray
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Discrete-Time Linear Filtering in Arbitrary Noise
, 2008 The Kalman filter is a recursive Best Linear Unbiased Estimator (BLUE) for a linear dynamic system with uncorrelated white process and measurement noises.
Rong Li University +2 more
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Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]
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 error ...
Isabel Molina +2 more
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