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Beyond ownership: the critical role of digital literacy in shaping the impact of digital access on physical activity. [PDF]

Front Public Health
Li W, Ling Q.
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Robust Confidence Intervals for Digital Surface Models Using Satellite Photogrammetry

Roman Malinowski, Emmanuelle Sarrazin, Emmanuel Dubois, Loïc Dumas, Sébastien Destercke   +4 more
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Robust generalized confidence intervals

Communications in Statistics - Simulation and Computation, 2016
ABSTRACTMost interval estimates are derived from computable conditional distributions conditional on the data.
Weiyan Mu, Shifeng Xiong
openaire   +1 more source

Model robust confidence intervals

Journal of Statistical Planning and Inference, 1982
Abstract Confidence intervals are constructed for real-valued parameter estimation in a general regression model with normal errors. When the error variance is known these intervals are optimal (in the sense of minimizing length subject to guaranteed probability of coverage) among all intervals estimates which are centered at a linear estimate of the
Knafl, G., Sacks, J., Ylvisaker, D.
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Robust Confidence Intervals for Regression Parameters

Australian & New Zealand Journal of Statistics, 1998
The paper considers the problem of finding accurate small sample confidence intervals for regression parameters. Its approach is to construct conditional intervals with good robustness characteristics. This robustness is obtained by the choice of the density under which the conditional interval is computed.
Field, Christopher A., Welsh, A. H.
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Confidence intervals based on robust regression

Journal of Statistical Planning and Inference, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Field, Christopher, Zhou, Julie
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Robust multiple confidence intervals for contrasts

Computational Statistics & Data Analysis, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bachmaier, Martin, Precht, Manfred
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Robust confidence interval for the variance

Journal of Statistical Computation and Simulation, 1999
In this paper six confidence intervals for the variance of a distribution are proposed. Extensive simulation study is performed to evaluate the performance of the intervals. A confidence interval based on an L-estimate of scale is found to be robust; in otherwords, regardless of the sample size and the distribution considered in the study, its actual ...
Abdelrahim M. Barham, S. Jeyaratnam
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A Robust Confidence Interval for Location

Technometrics, 1987
Robust estimation procedures have been the subject of a large number of comparative studies. Less attention has been paid to confidence intervals and tests based on these procedures and to cases in which the underlying distribution is nonsymmetric. This article investigates the properties of just one interval M estimator of location.
Charles E. Du Mond, Russell V. Lenth
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