Accumulate the next value weighted by its time duration and update accumulators.
Accumulate the next value weighted by its time duration and update accumulators.
the value to accumulate
the time of the observation
Show the flaw by printing the error message.
Show the flaw by printing the error message.
the method where the error occurred
the error message
Compute the confidence interval half-width for the given confidence level.
Compute the confidence interval half-width for the given confidence level.
the confidence level
Generate a header of statistical labels as a string.
Generate a header of statistical labels as a string.
the time of previous observation
Get the maximum value in sample.
Get the maximum value in sample.
the maximum sample value
the maximum sample value
Compute/estimate the sample mean.
Compute/estimate the sample mean.
Get the minimum value in sample.
Get the minimum value in sample.
the minimum sample value
the minimum sample value
Compute/estimate the mean square (ms).
Compute/estimate the mean square (ms).
The number of samples
The number of samples
the name for this statistic (e.
the name for this statistic (e.g., NumberInQueue or tellerQ)
Get the number of samples.
Get the number of samples.
Compute/estimate the root mean square (rms).
Compute/estimate the root mean square (rms).
Compute/estimate the sample standard deviation.
Compute/estimate the sample standard deviation.
Sum of the sample values
Sum of the sample values
Sum of the sample values squared
Sum of the sample values squared
Disable the tally method (it is for sample statistics, not time persistent statistics.
Disable the tally method (it is for sample statistics, not time persistent statistics.
the value to tally
Generate a row of statistical results as a string.
Generate a row of statistical results as a string.
Compute/estimate the sample variance.
Compute/estimate the sample variance. The denominator is one less for unbiased (n-1) vs. maximum likelihood (n) estimators. Also use n for population variance.
This class is used to collect values and compute time-persistent statistics on them (e.g., Number in Queue).