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Simple and Honest Confidence Intervals in Nonparametric Regression [PDF]
Quantitative Economics, 2016 We consider the problem of constructing honest confidence intervals (CIs) for a scalar parameter of interest, such as the regression discontinuity parameter, in nonparametric regression based on kernel or local polynomial estimators.
Timothy B. Armstrong, M. Kolesár
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The Shortest Clopper–Pearson Randomized Confidence Interval for Binomial Probability
Revstat Statistical Journal, 2017 Zieli´nski (2010) showed the existence of the shortest Clopper–Pearson confidence interval for binomial probability. The method of obtaining such an interval was presented as well. Unfortunately, the confidence interval obtained has one disadvantage: it
Wojciech Zieliński
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An extension of within-subject confidence intervals to models with crossed random effects [PDF]
Tutorials in Quantitative Methods for Psychology, 2017 A common problem in displaying within-subject data is that of how to show confidence intervals that accurately reflect the pattern of significant differences between conditions. The Cousineau-Morey method \parencite {c05,m08} is a widely used solution to
Politzer-Ahles, Stephen
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A calculator for confidence intervals [PDF]
Computer Physics Communications, 2002 A calculator program has been written to give confidence intervals on branching ratios for rare decay modes (or similar quantities) calculated from the number of events observed, the acceptance factor, the background estimate and the associated errors.
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Calculating confidence intervals for impact numbers
BMC Medical Research Methodology, 2006 Background Standard effect measures such as risk difference and attributable risk are frequently used in epidemiological studies and public health research to describe the effect of exposures.
Bender Ralf +3 more
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Fusing photovoltaic data for improved confidence intervals
AIMS Energy, 2017 Characterizing and testing photovoltaic modules requires carefully made measurements on important variables such as the power output under standard conditions.
Ansgar Steland
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
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Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects [PDF]
Tutorials in Quantitative Methods for Psychology, 2006 For the last 50 years of research in quantitative social sciences, the empirical evaluation of scientific hypotheses has been based on the rejection or not of the null hypothesis.
Dominic Beaulieu-Prévost
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Calculating unreported confidence intervals for paired data
BMC Medical Research Methodology, 2011 Background Confidence intervals (or associated standard errors) facilitate assessment of the practical importance of the findings of a health study, and their incorporation into a meta-analysis.
Fagerland Morten W, Hirji Karim F
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A Method for Confidence Intervals of High Quantiles
Entropy, 2021 The high quantile estimation of heavy tailed distributions has many important applications. There are theoretical difficulties in studying heavy tailed distributions since they often have infinite moments.
Mei Ling Huang, Xiang Raney-Yan
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