Results 11 to 20 of about 3,348,916 (301)
scikit-learn-contrib/forest-confidence-interval: Version 0.6
Confidence intervals for scikit-learn forest ...
manoj kumar +15 more
core +1 more source
Wind Power Interval Forecasting Based on Confidence Interval Optimization
Most of the current wind power interval forecast methods are based on the assumption the point forecast error is subject to a known distribution (such as a normal distribution, beta distribution, etc.).
Xiaodong Yu +3 more
doaj +1 more source
Establishment of Reference Interval of Serum Prolactin in an Indian Population [PDF]
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
Sequential fixed width confidence intervals [PDF]
We consider the problem of constructing confidence intervals of fixed width d and confidence level γ for the success probability p in Bernoulli trials.
Asparouhov, Tihomir Zlatev
core +1 more source
Confidence Intervals for Stochastic Arithmetic [PDF]
Quantifying errors and losses due to the use of Floating-point (FP) calculations in industrial scientific computing codes is an important part of the Verification, Validation, and Uncertainty Quantification process. Stochastic Arithmetic is one way to model and estimate FP losses of accuracy, which scales well to large, industrial codes.
Sohier, Devan +5 more
openaire +6 more sources
Confidence interval how sure you are?
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
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
doaj +1 more source
Multivariate Confidence Intervals [PDF]
Confidence intervals are a popular way to visualize and analyze data distributions. Unlike p-values, they can convey information both about statistical significance as well as effect size. However, very little work exists on applying confidence intervals to multivariate data.
Korpela, Jussi +4 more
openaire +3 more sources
Confidence Intervals for Seroprevalence
This paper concerns the construction of confidence intervals in standard seroprevalence surveys. In particular, we discuss methods for constructing confidence intervals for the proportion of individuals in a population infected with a disease using a sample of antibody test results and measurements of the test's false positive and false negative rates.
DiCiccio, Thomas J. +3 more
openaire +2 more sources
A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored [PDF]
<i>Background</i>. The relation between methodological advances in estimation of confidence intervals (CIs) for incremental cost-effectiveness ratios (ICER) and estimation of cost effectiveness in the presence of censoring has not been ...
Briggs, AH +5 more
core +1 more source

