Confidence intervalThe problem of estimating the maximum possible earthquake magnitude m_max has attracted growing attention in recent years. Due to sparse data, the role of uncertainties becomes crucial. In this work, we determine the uncertainties related to the maximum magnitude in terms of ...
The end points of a confidence interval for the noncentrality parameter of noncentral χ2 or F are identified as upper and lower percentage points of a distribution. It is shown how these can be calculated by applying the inverse Cornish–Fisher expansion. The same procedure can be used to ...
A confidence interval is an estimate of an interval instatisticsthat may contain a population parameter. The unknown population parameter is found through a sample parameter calculated from the sampled data. For example, the population meanμis found using the sample meanx̅. The interval is gene...
normal approximation (as is the Wald method). Studies have shown however that this confidence interval is very conservative, having coverage levels as high as 99% for a 95% CI, and requiring significantly larger sample sizes for the same level of precision 1,2,3 . An alternate method, ...
The model has the EC50 as one of its parameters. This has the advantage that the EC50 and its confidence interval can be determined directly by nonlinear regression. Also, the tests for the presence of hormesis and lack of fit are described....
Introduces a computer package written for Mathematica, the purpose of which is to perform a number of difficult iterative functions with respect to the squared multiple correlation coefficient under the fixed and random models. These functions include computation of the confidence interval upper and lowe...
Software for quick calculation of p-values, confidence interval limits, or any other parameter for a test or confidence interval. Uses summary statistics instead of original data. Includes common tests and statistical distributions.
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The presented calculators have been designed using Wald’s confidence interval. The limitation of this confidence interval is that, it could go below 0% or above 100% in the confidence intervals if the users specify precision inappropriately in relation to the expected prevalence. Though we could ...
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