Life table statistics were calculated according to Hulting et al. [84] using SAS, with calculation of confidence intervals for all estimated parameters [85].
Data presented are census data; hence, significance tests or calculation of confidence intervals are redundant.
Compared to the ISO-GUM procedure, the Bayesian approach does not have any restrictions with respect to nonlinearities and calculation of confidence intervals.
In this work, approximated probability distributions for two common indicators (NSE and root mean square error) are derived with bootstrapping (block bootstrapping when dealing with time series), followed by bias corrected and accelerated calculation of confidence intervals.
Statistical methods were defined and applied to identify the correlation present in the sampled signals, propose improvements to the calculation of confidence intervals and understand interaction between different coherent flow features.
Because goodness-of-fit chi-square value was not significant for probit analysis, no heterogeneity factor was used in the calculation of confidence limits and LC20, LC50, and LC80 values.
Estimates of distribution quantiles are important risk measures of the frequency of occurrence of extreme hydrological events, and the calculation of confidence intervals for these quantiles (CIQs) is also essential, as it provides a measure of the statistical error involved in the estimation.
The calculation of confidence intervals are based upon the method of Fay and Feuer [50].
The calculation of confidence and the statistical comparisons are based on data from tested specimens, not from extrapolated data.
However, evidence is lacking about what are the appropriate methods for the calculation of confidence intervals for most clustering agreement measures.
For the statistical analysis, we have developed a novel approach that corrects measurements for the medium response (RPMI) and at the same time it allows the exact calculation of confidence intervals and p-values of hypothesis tests.
