Estimation methods for the variance of Birnbaum-Saunders distribution containing zero values with application to wind speed data in Thailand [PDF]
PeerJThailand is currently grappling with a severe problem of air pollution, especially from small particulate matter (PM), which poses considerable threats to public health.
Natchaya Ratasukharom +2 more
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Establishment of Reference Interval of Serum Prolactin in an Indian Population [PDF]
Journal of Clinical and Diagnostic Research, 2014 Background: Reference data on serum prolactin levels based on a representative Indian sample are still lacking. The western normative laboratory values used for clinical diagnosis may not be applicable to Indian population. The objective of the study
Kapil Deb Lahiri +3 more
doaj +1 more source
Confidence interval how sure you are?
Journal of Applied Hematology, 2014 Previously, researchers were reported P value as a basis for conclusion, but in this era of evidence-based medicine we are interested now about the precision of the results obtained that allow us to make right decisions in health care practice.
Areej Abdul Ghani Al Fattani
doaj +1 more source
A New Exact Confidence Interval for the Difference of Two Binomial Proportions
Revstat Statistical Journal, 2020 We consider interval estimation of the difference between two binomial proportions. Several methds of constructing such an interval are known. Unfortunately those confidence intervals have poor coverage probability: it is significantly smaller than the ...
Wojciech Zieliński
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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
doaj +1 more source
Interval-Valued Intuitionistic Fuzzy Confidence Intervals
Journal of Intelligent Systems, 2019 Confidence intervals are useful tools for statistical decision-making purposes. In case of incomplete and vague data, fuzzy confidence intervals can be used for decision making under uncertainty.
Kahraman Cengiz +2 more
doaj +1 more source
Journal of Consulting and Clinical Psychology, 2015 OBJECTIVE Multilevel and latent growth models are frequently used interchangeably to examine differences between groups in trajectories of outcomes from controlled clinical trials.
A. Feingold
semanticscholar +1 more source
Simple Buehler-optimal confidence intervals on the average success probability of independent Bernoulli trials [PDF]
arXiv, 2022 One-sided confidence intervals are presented for the average of non-identical Bernoulli parameters. These confidence intervals are expressed as analytical functions of the total number of Bernoulli games won, the number of rounds and the confidence level. Tightness of these bounds in the sense of Buehler, i.e.
arxiv
Comparison of confidence interval methods for an intra-class correlation coefficient (ICC)
BMC Medical Research Methodology, 2014 BackgroundThe intraclass correlation coefficient (ICC) is widely used in biomedical research to assess the reproducibility of measurements between raters, labs, technicians, or devices.
semanticscholar +1 more source
The shortest confidence interval for Poisson mean [PDF]
arXiv, 2021 The existence of the shortest confidence interval for Poisson mean is shown. The method of obtaining such an interval is presented as well.
arxiv