Results 21 to 30 of about 190,253 (294)
Design-based composite estimation of small proportions in small domains
Nonlinear Analysis, 2023 Traditional direct estimation methods are inefficient for domains of a survey population with small sample sizes. To estimate the domain proportions, we combine the direct estimators and the regression-synthetic estimators based on domain-level ...
Andrius Čiginas
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Dynamic stress–strength reliability estimation of system with survival signature
Statistical Theory and Related Fields, 2018 In this paper, we proposed a dynamic stress–strength model for coherent system. It is supposed that the system consists of n components with initial random strength and each component is subjected to random stresses.
Yiming Liu +3 more
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The BLUE in continuous-time regression models with correlated errors [PDF]
, 2019 In this paper, the problem of best linear unbiased estimation is investigated for continuous-time regression models. We prove several general statements concerning the explicit form of the best linear unbiased estimator (BLUE), in particular when the ...
Dette, Holger +2 more
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EBLUP-SMALL AREA ESTIMATION METHOD FOR PER CAPITA EXPENDITURES IN BALI
E-Jurnal Matematika, 2022 Small Area Estimation (SAE) is a statistical technique for estimating the parameters of a sub-population with a small sample size. SAE aims to improve the accuracy of parameter estimation, with indirect estimation.
LUTHFATUL AMALIANA +1 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
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Best Linear Unbiased Estimators for Properties of Digitized Straight Lines [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986 This paper considers the problem of measuring properties of digitized straight lines from the viewpoint of measurement methodology. The measurement and estimation process is described in detail, revealing the importance of a step called ``characterization'' which was not recognized explicitly before.
L, Dorst, A W, Smeulders
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Journal of Statistical Theory and Applications (JSTA), 2020 The ranked-set sampling technique has been generalized so that a more efficient estimator may be obtained. This technique allows more than one unit from each set to be quantified.
A. Adatia, A.K.MD. Ehsanes Saleh
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TFInterpy: A high-performance spatial interpolation Python package
SoftwareX, 2022 Interpolation algorithms are essential tools for spatial analysis. The Kriging method satisfies the best linear unbiased estimation and is widely used in scenarios where high accuracy is required.
Zhiwen Chen, Baorong Zhong
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Analytical Derivation of the Inverse Moments of One-sided Correlated Gram Matrices with Applications [PDF]
, 2015 This paper addresses the development of analytical tools for the computation of the moments of random Gram matrices with one side correlation. Such a question is mainly driven by applications in signal processing and wireless communications wherein such ...
Al-Naffouri, Tareq Y +3 more
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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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