###### Robust confidenceintervals
In statistics a robust confidence interval is a robust modification of confidence intervals, meaning that one modifies the non- ... Before trusting the results of 100 objects weighed just three times each to have confidence intervals calculated from σ, it is ... The 200 extra weighings served only to detect and correct for operator error and did nothing to improve the confidence interval ... He could then use a bootstrap calculation to determine a confidence interval narrower than that calculated from σ, and so ...
###### Sam Weerahandi
Lee, J. C., and Lin, S. H. (2004). Generalized confidence intervals for the ratio of means of two normal populations. Journal ... Mathew, T. and Webb, D. W. (2005). Generalized p-values and confidence intervals for variance components: Applications to Army ... Bebu, I., and Mathew, T. (2009). Confidence intervals for limited moments and truncated moments in normal and lognormal models ... Weerahandi, S. (1993). Generalized Confidence Intervals. JASA, 88, 899-905. Wu, J.F., and Hamada, M.S. (2009). Experiments: ...
###### Bootstrapping (statistics)
... then percentile confidence-intervals are often inappropriate. There are several methods for constructing confidence intervals ... If the bootstrap distribution of an estimator is symmetric, then percentile confidence-interval are often used; such intervals ... confidence-interval for the population median is (26, 28.5), which is close to the interval for (25.98, 28.46) for the smoothed ... As a result, confidence intervals on the basis of a Monte Carlo simulation of the bootstrap could be misleading. Athreya states ...
###### Estimation statistics
... confidence intervals are also 83% prediction intervals: one experiment's confidence interval has an 83% chance of capturing any ... Confidence intervals behave in a predictable way. By definition, 95% confidence intervals have a 95% chance of capturing the ... As such, knowing a single experiment's 95% confidence intervals gives the analyst a plausible range for the population mean, ... Gardner, M. J.; Altman, D. G. (1986-03-15). "Confidence intervals rather than P values: estimation rather than hypothesis ...
###### Generalized additive model
Wahba, G. (1983). "Bayesian Confidence Intervals for the Cross Validated Smoothing Spline". Journal of the Royal Statistical ... Marra, G.; Wood, S.N. (2012). "Coverage properties of confidence intervals for generalized additive model components". ... Nychka, D. (1988). "Bayesian confidence intervals for smoothing splines". Journal of the American Statistical Association. 83. ... which can be used to produce confidence/credible intervals for the smooth components, f j {\displaystyle f_{j}} . The Gaussian ...
###### CLs method (particle physics)
... however it differs from standard confidence intervals in that the stated confidence level of the interval is not equal to its ... Suppose that q ( X ) {\displaystyle q(X)} is a test statistic from which the confidence interval is derived, and let p θ = P ( ... doi:10.1140/epjc/s10052-011-1554-0. Leon Jay Gleser (2002). "[Setting Confidence Intervals for Bounded Parameters]: Comment". ... Mark Mandelkern (2002). "Setting Confidence Intervals for Bounded Parameters". Statistical Science. 17 (2): 149-159. doi: ...
###### Statistical significance
"Confidence Interval or P-Value?". doi:10.3238/arztebl.2009.0335. StatNews #73: Overlapping Confidence Intervals and Statistical ... "Conclusions about statistical significance are possible with the help of the confidence interval. If the confidence interval ... Confidence levels and confidence intervals were introduced by Neyman in 1937. Statistical significance plays a pivotal role in ... ISBN 0-471-82211-6. Cumming, Geoff (2012). Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta- ...
###### Survival analysis
The hazard ratio HR = exp(coef) = 1.58, with a 95% confidence interval of 0.934 to 2.68. Because the confidence interval for HR ... Kaplan-Meier curve for aml with the confidence bounds. # By default, R includes the confidence interval. plot(aml.survfit, xlab ... Don't print the confidence interval. plot(aml.survfit, xlab = "Time (weeks)", ylab="Proportion surviving", conf.int=FALSE, main ... The summary output also gives upper and lower 95% confidence intervals for the hazard ratio: lower 95% bound = 1.15; upper 95% ...
###### Group size measures
Confidence interval for mean group size; Median group size, the median of group sizes calculated over groups; Confidence ... 2008) discuss the statistical problems associated with group size measures (calculating confidence intervals, 2-sample tests, ... Confidence interval for mean crowding. Imagine a sample with 3 groups, where group sizes are 1, 2, and 6 individuals, ... interval for median group size. As Jarman (1974) pointed out, average individuals live in groups larger than average. Therefore ...