Term Definition Status
Average - ACCEPTED
Categorical The values are categorical rather than continuous valued quantities. ACCEPTED
Circular average - ACCEPTED
Circular maximum distribution - ACCEPTED
Confidence Interval In statistics, a confidence interval (CI) is a type of interval estimate of a statistical parameter. It is an observed interval (i.e., it is calculated from the observations), in principle different from sample to sample, that frequently includes the value of an unobservable parameter of interest if the experiment is repeated. How frequently the observed interval contains the parameter is determined by the confidence level or confidence coefficient. ACCEPTED
Constant over interval The values are quantities that can be interpreted as constant for all time, or over the time interval to a subsequent measurement of the same variable at the same site. ACCEPTED
Continuous A quantity specified at a particular instant in time measured with sufficient frequency (small spacing) to be interpreted as a continuous record of the phenomenon. ACCEPTED
Count - ACCEPTED
Cumulative The values represent the cumulative value of a variable measured or calculated up to a given instant of time, such as cumulative volume of flow or cumulative precipitation. ACCEPTED
Incremental The values represent the incremental value of a variable over a time interval, such as the incremental volume of flow or incremental precipitation. ACCEPTED
Maximum - ACCEPTED
Median - ACCEPTED
Minimum - ACCEPTED
Mode The values are the most frequent values occurring at some time during a time interval, such as annual most frequent wind direction. ACCEPTED
Not applicable - ACCEPTED
Sporadic The phenomenon is sampled at a particular instant in time but with a frequency that is too coarse for interpreting the record as continuous. This would be the case when the spacing is significantly larger than the support and the time scale of fluctuation of the phenomenon, such as for example infrequent water quality samples. ACCEPTED
Standard deviation The values represent the standard deviation of a set of observations made over a time interval. Standard deviation computed using the unbiased formula SQRT(SUM((Xi-mean)^2)/(n-1)) are preferred. The specific formula used to compute variance can be noted in the methods description. ACCEPTED
Standard error of mean The standard error of the mean (SEM) quantifies the precision of the mean. It is a measure of how far your sample mean is likely to be from the true population mean. It is expressed in the same units as the data. ACCEPTED
Sum - ACCEPTED
Unknown The aggregation statistic is unknown. ACCEPTED
Variance The values represent the variance of a set of observations made over a time interval. Variance computed using the unbiased formula SUM((Xi-mean)^2)/(n-1) are preferred. The specific formula used to compute variance can be noted in the methods description. ACCEPTED