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
Return the last time statistics were recorded by this collector.
Return the maximum value in sample.
Return the maximum value in sample.
The maximum sample value
The maximum sample value
Compute/estimate the time-weighted mean.
Compute/estimate the time-weighted mean.
Return the minimum value in sample.
Return 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.g., NumberInQueue or tellerQ)
the name for this statistic (e.g., NumberInQueue or tellerQ)
Return the number of samples as a double.
Return the number of samples as a double.
Return the number of samples.
Return the number of samples.
Compute/estimate the root mean square (rms).
Compute/estimate the root mean square (rms).
Show the values of this collector's accumulators.
Show the values of this collector's accumulators.
Return the time observation began.
Return the summary statistics as a row/Array.
Return the summary statistics as a row/Array.
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 time-weighted variance.
Compute/estimate the time-weighted variance.
The
TimeStatistic
class is used to collect values and compute time-persistent statistics on them (e.g., Number in Queue).http://staff.unak.is/andy/Year%203%20Simulation/Laboratories/v4manual/internal.htm