Results 31 to 40 of about 422,849 (261)
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
doaj +1 more source
Using the confidence interval confidently [PDF]
Journal of Thoracic Disease, 2017 Biomedical research is seldom done with entire populations but rather with samples drawn from a population. Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a sample statistic and estimates of error in the sample to get a fair idea of the population parameter, not as a
openaire +2 more sources
Fixed-width confidence interval for a lognormal mean
International Journal of Mathematics and Mathematical Sciences, 2002 We consider the problem of constructing a fixed-width confidence interval for a lognormal mean. We give a Birnbaum and Healy type two-stage procedure to construct such a confidence interval. We discuss some asymptotic properties of the procedure. A three-
Makoto Aoshima, Zakkula Govindarajulu
doaj +1 more source
The power of confidence intervals [PDF]
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2002 We connect the power of Confidence Intervals in different Frequentist methods to their reliability. We show that in the case of a bounded parameter a biased method which near the boundary has large power in testing the parameter against larger alternatives and small power in testing the parameter against smaller alternatives is desirable.
GIUNTI C, LAVEDER, MARCO
openaire +4 more sources
Confidence interval calculation results.
, 2022 Confidence interval calculation results.
Zheng Shi (586636) +3 more
core +1 more source
Journal of Probability and Statistics, 2015 Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals ...
Daniel Turek
doaj +1 more source
Empirical Likelihood Inference for the Mean Past Lifetime Function
, 2022 In several fields, such as survival analysis, reliability theory, and forensic science, the mean past lifetime (MPL), also known as the expected inactivity time function, plays a vital role.
Defor, Edem
core +1 more source
Collabra: Psychology, 2019 Based on the observation that frequentist confidence intervals and Bayesian credible intervals sometimes happen to have the same numerical boundaries (under very specific conditions), Albers et al.
Ladislas Nalborczyk +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source