- semiparametric
- semi·para·met·ric (sem″e-par″ə-metґrik) having elements of both parametric and nonparametric statistics; see
*semiparametric statistics,*under*statistics.*

*Medical dictionary.
2011.*

- semiparametric
- semi·para·met·ric (sem″e-par″ə-metґrik) having elements of both parametric and nonparametric statistics; see
*semiparametric statistics,*under*statistics.*

*Medical dictionary.
2011.*

**Semiparametric regression**— refers to regression models in which the predictor contains both parametric and nonparametric components … Wikipedia**Semiparametric model**— In statistics a semiparametric model is a model that has parametric and nonparametric components.A model is a collection of distributions: {P heta: heta in Theta} indexed by a parameter heta. * A parametric model is one in which the indexing… … Wikipedia**semiparametric statistics**— statistical methodology that combines both parametric and nonparametric elements; used for estimating population parameters when a function is unknown, such as the distribution function of a random variable that has not been observed … Medical dictionary**Linear regression**— Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia**Least squares**— The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… … Wikipedia**List of statistics topics**— Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia**Minimum message length**— (MML) is a formal information theory restatement of Occam s Razor: even when models are not equal in goodness of fit accuracy to the observed data, the one generating the shortest overall message is more likely to be correct (where the message… … Wikipedia**Minimum description length**— The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is … Wikipedia**Deviance (statistics)**— In statistics, deviance is a quality of fit statistic for a model that is often used for statistical hypothesis testing. The deviance for a model M0 is defined as Here denotes the fitted values of the parameters in the model M0, while denotes the … Wikipedia**Errors and residuals in statistics**— For other senses of the word residual , see Residual. In statistics and optimization, statistical errors and residuals are two closely related and easily confused measures of the deviation of a sample from its theoretical value . The error of a… … Wikipedia