ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Ramsey RESET-test funktsionaalse vormi jaoks×Valge test heteroskedastilisuse tuvastamiseks×
ValdkondÖkonomeetriaÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta19691980
LoojaJames B. RamseyHalbert White
TüüpTest for functional-form misspecificationGeneral test for heteroskedasticity
AlgallikasRamsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society: Series B, 31(2), 350–371. DOI ↗White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. DOI ↗
RööpnimetusedRESET test, regression specification error test, Ramsey RESET fonksiyonel form testiWhite's general heteroskedasticity test, White değişen varyans testi
Seotud43
KokkuvõteThe Ramsey RESET test, proposed by James Ramsey in 1969, is a general test for functional-form misspecification in a linear regression — for omitted nonlinear relationships between the response and the regressors. It adds powers of the fitted values to the model and checks whether they significantly improve the fit; if they do, the original linear specification has left systematic structure unexplained.The White test, introduced by Halbert White in 1980, is a general test for heteroskedasticity that makes no assumption about its functional form. It regresses the squared OLS residuals on the regressors, their squares, and their cross-products, so it can detect heteroskedasticity related to any of these terms. The same 1980 paper introduced the heteroskedasticity-consistent ('White') standard errors that are the standard remedy when the test rejects.
ScholarGateAndmestik
  1. v1
  2. 1 Allikad
  3. PUBLISHED
  1. v1
  2. 1 Allikad
  3. PUBLISHED

Mine otsingusse Laadi slaidid alla

ScholarGateVõrdle meetodeid: Ramsey RESET Test · White Test. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare