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A united interpretation of different uncertainty intervals
(ELSEVIER SCI LTD, 2005)
The frequentist and Bayesian philosophies of statistical inference require different approaches to the calculation of an interval of uncertainty for a measurand. A frequentist (or classical) interval will have an associated ...
Bootstrap confidence intervals for industrial recurrent event data
(Sociedade Brasileira de Pesquisa Operacional, 2012)
Industrial recurrent event data where an event of interest can be observed more than once in a single sample unit are presented in several areas, such as engineering, manufacturing and industrial reliability. Such type of ...
Use of 95% confidence intervals in the reporting of between-group differences in randomized controlled trials: analysis of a representative sample of 200 physical therapy trials
(Associacao Brasileira Pesquisa Pos-graduacao Fisioterapia-abrapg-ft, 2019-07-01)
Objectives: To assess the prevalence of the use of 95% confidence intervals in the reporting of between-group differences in randomized controlled trials of physical therapy interventions and to determine if the prevalence ...
Confidence intervals: confidence level, sample size, and margin of error
(Wolfram Demonstration Project, 2016)
Confidence intervals: confidence level, sample size, and margin of error
(Wolfram Demonstration Project, 2011)
Confidence intervals to bound the value of time
(PERGAMON-ELSEVIER SCIENCE LTD, 2001)
The derivation of a subjective value of time (SVT) requires finding the marginal rate of substitution between travel time and cost in a travel choice model. In the typical case of models with linear-in-parameters utility ...
Efficient nonparametric confidence bands for receiver operating-characteristic curves
(SAGE Publications Ltd, 2018)
Non-asymptotic confidence bounds for the optimal value of a stochastic program
(EMAp - Escola de Matemática Aplicada, 2016)
We discuss a general approach to building non-asymptotic confidence bounds for stochastic optimization problems. Our principal contribution is the observation that a Sample Average Approximation of a problem supplies upper ...