A statistical technique where there is a known theoretical distribution, and only a few unknown parameters need to be estimated. For example, people's heights, where we may know that heights have a Normal distribution, but need to estimate average height and its standard deviation. Statisticians prefer to use parametric statistics where possible, because they are less likely to miss a real effect; the statistics have greater power. Contrast with nonparametric statistics.
Used in Chap. 13: page 149
Also used in hcistats2e: Chap. 4: page 56; Chap. 10: page 110
Used in glossary entries: nonparametric statistics, Normal distribution, parameters, standard deviation (s.d., σ)
