Results 1 to 10 of about 88,814 (288)
Concomitants of Order Statistics from a Bivariate Generalized Linear Exponential Distribution: Theory and Practice [PDF]
EntropyThis paper investigates the concomitants of order statistics from the bivariate generalized linear exponential (BGLE) distribution. We obtain the probability density function of a single concomitant and the joint probability density function of two ...
Areej M. AL-Zayd
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Combination of measurements and the BLUE method [PDF]
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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Best linear unbiased estimators in continuous time regression models [PDF]
, 2016 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 error process is a smooth process with one or several derivatives of the response process available for ...
Dette, Holger +2 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. Similarly, for the ordinary least squares estimator OLSE (CXb) = C OLSE (X) .
Groß, Jürgen, Trenkler, Götz
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Estimation of the parameter of L´evy distribution using ranked set sampling [PDF]
AUT Journal of Mathematics and Computing, 2021 Ranked set sampling is a statistical technique for data collection that generally leads to more efficient estimators than competitors based on simple random sampling.
Sahar Dorniani +2 more
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Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2021 We study the computational complexity and variance of multilevel best linear unbiased estimators introduced in [D. Schaden and E. Ullmann, SIAM/ASA J. Uncert. Quantif., (2020)]. We specialize the results in this work to PDE-based models that are parameterized by a discretization quantity, e.g., the finite element mesh size.
Daniel Schaden, Elisabeth Ullmann
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Stats, 2023 In this research, we design the Farlie–Gumbel–Morgenstern bivariate moment exponential distribution, a bivariate analogue of the moment exponential distribution, using the Farlie–Gumbel–Morgenstern approach.
Sasikumar Padmini Arun +3 more
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Muth Distribution and Estimation of a Parameter Using Order Statistics
Statistica, 2021 In this work, we have considered a lifetime distribution namely Muth distribution and pointed out instances where it appears as a good model to study the stochastic nature of the variable under consideration.
Muhammed Rasheed Irshad +2 more
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Interval-Valued Linear Model [PDF]
International Journal of Computational Intelligence Systems, 2015 This paper introduces a new type of statistical model: the interval-valued linear model, which describes the linear relationship between an interval-valued output random variable and real-valued input variables.
Xun Wang, Shoumei Li, Thierry Denœux
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Statistical modelling of rate gyros based on fully overlapping Allan variance
IET Science, Measurement & Technology, 2022 Angular random walk and rate random walk are two dominant random noise components which are inherent in almost gyroscopes. Therefore, modelling these noise components accurately is very important. Here, a modified algorithm is proposed for estimating the
Yong Gil Ri +2 more
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