Stepwise Regression

Stepwise Regression
The step-by-step iterative construction of a regression model that involves automatic selection of independent variables. Stepwise regression can be achieved either by trying out one independent variable at a time and including it in the regression model if it is statistically significant, or by including all potential independent variables in the model and eliminating those that are not statistically significant, or by a combination of both methods.

Stepwise regression has a number of drawbacks, according to some statisticians. These include incorrect results, an inherent bias in the process itself and the necessity for significant computing power to develop complex regression models through iteration.


Investment dictionary. . 2012.

Игры ⚽ Нужно сделать НИР?

Look at other dictionaries:

  • Stepwise regression — In statistics, stepwise regression includes regression models in which the choice of predictive variables is carried out by an automatic procedure. [Hocking, R. R. (1976) The Analysis and Selection of Variables in Linear Regression, Biometrics,… …   Wikipedia

  • Regression Analysis of Time Series — Infobox Software name = RATS caption = developer = Estima latest release version = 7.0 latest release date = 2007 operating system = Cross platform genre = econometrics software license = Proprietary website =… …   Wikipedia

  • 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

  • Nonlinear regression — See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… …   Wikipedia

  • Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …   Wikipedia

  • Least-angle regression — In statistics, least angle regression (LARS) is a regression algorithm for high dimensional data, developed by Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani. [cite journal author = Efron, Bradley coauthors = Hastie, Trevor;… …   Wikipedia

  • Множественная регрессия (multiple regression) — М. p. метод многомерного анализа, посредством к рого зависимая переменная (или критерий) Y связывается с совокупностью независимых переменных (или предикторов) X посредством линейного уравнения: Y = а + b1Х1 + b2Х2 + ... + bkXk. Коэффициенты… …   Психологическая энциклопедия

  • Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …   Wikipedia

  • Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… …   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

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”