ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

اختبار بروش-بيجان للتباين غير المتجانس×الانحدار المربعات الصغرى الموزون (WLS)×
المجالالاقتصاد القياسيالإحصاء
العائلةRegression modelRegression model
سنة النشأة19791935
صاحب الطريقةTrevor Breusch & Adrian PaganAlexander Craig Aitken
النوعLagrange-multiplier test for heteroskedasticityWeighted linear estimator
المصدر التأسيسيBreusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. DOI ↗Aitken, A. C. (1935). IV.—On least squares and linear combination of observations. Proceedings of the Royal Society of Edinburgh, 55, 42–48. DOI ↗
الأسماء البديلةBP test, Breusch-Pagan-Godfrey test, Lagrange multiplier test for heteroskedasticity, Breusch-Pagan değişen varyans testiWLS, weighted regression, heteroscedasticity-corrected OLS, variance-weighted least squares
ذات صلة33
الملخصThe Breusch-Pagan test, introduced by Trevor Breusch and Adrian Pagan in 1979, is a Lagrange-multiplier test for heteroskedasticity — the condition where the variance of a regression's errors changes with the explanatory variables. It works by regressing the squared OLS residuals on candidate variables and checking whether they explain any of the residual variation, signalling that the constant-variance assumption is violated.Weighted Least Squares is a generalization of Ordinary Least Squares (OLS) regression that assigns each observation a weight inversely proportional to its error variance, thereby down-weighting high-variance data points and up-weighting precise ones. Introduced in its general matrix form by Alexander Craig Aitken in 1935, WLS is the canonical remedy when heteroscedasticity is present and the error variance structure is known or can be reliably estimated.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 3 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Breusch-Pagan Test · Weighted Least Squares. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare