AntitheticStatistic

Gets the unweighted average of the observations.

Gets the count for the number of the observations.

Gets the sum of squares of the deviations from the average This is the numerator in the classic sample variance formula

Gets the kurtosis of the data

Gets the lag-1 generate correlation of the unweighted observations. Note: See Box, Jenkins, Reinsel, Time Series Analysis, 3rd edition, Prentice-Hall, pg 31

Gets the lag-1 generate covariance of the unweighted observations. Note: See Box, Jenkins, Reinsel, Time Series Analysis, 3rd edition, Prentice-Hall, pg 31

Gets the maximum of the observations.

Gets the minimum of the observations.

Counts the number of observations that were negative, strictly less than zero.

Gets the skewness of the data

Gets the standard error of the observations. Simply the generate standard deviation divided by the square root of the number of observations

Gets the sum of the observations.

Gets the sample variance of the observations.

Gets the Von Neumann Lag 1 test statistic for checking the hypothesis that the data are uncorrelated Note: See Handbook of Simulation, Jerry Banks editor, McGraw-Hill, pg 253.

Counts the number of observations that were exactly zero.

Collect on the supplied value. Double.NaN, Double.NEGATIVE_INFINITY, and Double.POSITIVE_INFINITY values are counted as missing. Null values are not permitted.

Return a copy of the information as an instance of a statistic

Gets the confidence interval half-width. Simply the standard error times the confidence coefficient as determined by an appropriate sampling distribution

Computes the right most meaningful digit according to (int)Math.floor(Math.log10(a*getStandardError())) See doi 10.1287.opre.1080.0529 by Song and Schmeiser

Returns a String representation of the Statistic