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- #Redirect [[Economic model#Types of models]] ...44 bytes (6 words) - 07:36, 3 September 2008
- #REDIRECT [[Censored regression model]] ...39 bytes (4 words) - 21:25, 25 August 2006
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- #redirect [[regression analysis#Regression models]] {{R to section}} ...104 bytes (13 words) - 01:00, 2 February 2023
- ...is]] is the most common example of a proper linear model. [[Unit-weighted regression]] is the most common example of an '''improper linear model'''. ...t1 = Dawes | first1 = R. M. | title = The robust beauty of improper linear models in decision making | doi = 10.1037/0003-066X.34.7.571 | journal = American ...782 bytes (99 words) - 18:02, 25 October 2023
- ...e dependent and the independent variables are unknown. Censored regression models are used for data where only the value for the dependent variable is unknow ...ation and family status. However, such estimates undertaken using [[linear regression]] will be biased by the fact that for people who are unemployed it is not p ...3 KB (419 words) - 14:45, 4 March 2025
- ...ion model. The idea of standardization can be extended to apply to partial regression coefficients. [[Category:Structural equation models]] ...1 KB (167 words) - 01:47, 20 June 2017
- ...is available.<ref>{{cite book |first=Richard |last=Breen |title=Regression Models : Censored, Samples Selected, or Truncated Data |location=Thousand Oaks |pu ...Selection, and Limited Dependent Variables and a Simple Estimator for Such Models |journal=Annals of Economic and Social Measurement |volume=15 |pages=475–49 ...5 KB (620 words) - 04:48, 13 June 2023
- .... In each case, the designation "linear" is used to identify a subclass of models for which substantial reduction in the complexity of the related [[statisti ==Linear regression models== ...5 KB (740 words) - 23:29, 17 November 2024
- ...ly used is the [[ordinary least squares]] method used to estimate [[linear regression]]s. ...or censored. These include [[logit]], [[probit]] and [[Tobit model|Tobit]] models. ...869 bytes (110 words) - 11:37, 15 September 2019
- ...rt description|Regression models that combine parametric and nonparametric models}} {{Regression bar}} ...7 KB (1,073 words) - 02:39, 7 May 2022
- {{Short description|Category of regression analysis}} {{Regression bar}} ...7 KB (938 words) - 16:51, 20 March 2025
- * Kernel density estimation and regression (kernel regression) * Single index models ...2 KB (256 words) - 13:06, 11 May 2025
- ...tatbook.com/2/regression/multiple_regression.html Introduction to Multiple Regression] </ref> ...fixed [[mean]] of the dependent variable.<ref>[http://mtweb.mtsu.edu/stats/regression/level3/multicorrel/multicorrcoef.htm Multiple correlation coefficient]</ref ...6 KB (950 words) - 16:43, 31 March 2024
- ...east squares]], a method used in regression analysis for estimating linear models ...685 bytes (90 words) - 16:38, 1 March 2024
- ...t.<ref name=LB/> This portmanteau test is useful in working with [[ARIMA]] models. In the context of [[regression analysis]], including regression analysis with [[time series]] structures, a '''portmanteau test''' has been ...3 KB (482 words) - 11:39, 13 June 2025
- ...al [[Statistical model specification|specification]] test for the [[linear regression]] model. More specifically, it tests whether non-linear combinations of the ...69 |title=Tests for Specification Errors in Classical Linear Least Squares Regression Analysis |journal=[[Journal of the Royal Statistical Society, Series B]] |v ...3 KB (452 words) - 16:58, 10 June 2024
- ...ly estimated using [[regression analysis]], although some more generalized models such as [[sales comparison approach|sales adjustment grid]]s are special ca ...holding other housing characteristics fixed. In CPI calculations, hedonic regression is used to control the effect of changes in product quality. Price changes ...8 KB (1,161 words) - 14:45, 29 May 2025
- {{Short description|Statistical models used in econometrics}} ...itself is [[stochastic]]. However, it is also possible to use econometric models that are not tied to any specific economic theory.<ref name=sims80>{{cite j ...6 KB (753 words) - 20:14, 20 February 2025
- ...s a particularly simple one, and allows the model to be fitted by [[linear regression]]. ...ta |location=London |publisher=Methuen |isbn=0-416-10400-2 |chapter=Simple Regression |pages=33–42 }}</ref> ...5 KB (793 words) - 20:08, 22 May 2025
- {{Distinguish|text=[[Multiple linear regression]], [[Generalized linear model]] or [[General linear methods]]}} {{Regression bar}} ...12 KB (1,643 words) - 14:19, 3 June 2025
- ...led overlapping). The statistic tests the [[null hypothesis]] that the two models are equally close to the true data generating process, against the alternat With strictly non-nested models and [[iid]] exogenous variables, model 1 (2) is preferred with significance ...6 KB (831 words) - 09:31, 27 February 2025
- ==MAPE in regression problems== ...entage error is commonly used as a loss function for [[Regression analysis|regression problems]] and in model evaluation, because of its very intuitive interpret ...9 KB (1,445 words) - 07:42, 4 October 2024