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Published in 2020 at "Journal of Geodesy"
DOI: 10.1007/s00190-020-01356-w
Abstract: In this contribution, we propose a method for statistically evaluating the risk in a deformation monitoring system. When the structure under monitoring moves beyond tolerance, the monitor system should issue an alert. Only a very…
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Keywords:
risk;
usepackage;
estimation testing;
document ... See more keywords
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Published in 2018 at "Journal of Productivity Analysis"
DOI: 10.1007/s11123-018-0531-0
Abstract: We show how a wide range of stochastic frontier models can be estimated relatively easily using variational Bayes. We derive approximate posterior distributions and point estimates for parameters and inefficiency effects for (a) time invariant…
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Keywords:
variational bayes;
using variational;
estimation testing;
frontier models ... See more keywords
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Published in 2018 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-016-9151-3
Abstract: In this paper, we study an inference problem in generalized Ornstein–Uhlenbeck processes with an unknown change-point when the drift parameter is suspected to satisfy a linear restriction. The testing problem studied generalizes a very recent…
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Keywords:
change point;
generalized mean;
testing generalized;
estimation testing ... See more keywords
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1189569
Abstract: ABSTRACT In this paper, we study the estimation and inference for a class of semiparametric mixtures of partially linear models. We prove that the proposed models are identifiable under mild conditions, and then give a…
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Keywords:
testing semiparametric;
semiparametric mixtures;
estimation testing;
mixtures partially ... See more keywords
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1267765
Abstract: ABSTRACT We consider here the general class of distributions proposed by Sankaran and Gupta (2005) by zeroing in on two measures of reliability, R(t) = P(X > t) and P = P(X > Y). Thereafter,…
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Keywords:
class distributions;
general class;
estimation testing;
procedures reliability ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3158308
Abstract: In real life we often deal with independent but not identically distributed observations (i.n.i.d.o), for which the most well-known statistical model is the multiple linear regression model (MLRM) with non-random covariates. While the classical methods…
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Keywords:
estimation testing;
based nyi;
independent identically;
distributed observations ... See more keywords