পদ্ধতির তুলনা করুন

	হেটেরোস্কেডাস্টিসিটির জন্য গোল্ডফেল্ড-কোয়ান্ট পরীক্ষা	Weighted Least Squares (WLS)
ক্ষেত্র	অর্থমিতি	পরিসংখ্যান
পরিবার	Hypothesis test	Regression model
উদ্ভবের বছর	1965	1935
প্রবর্তক	Stephen Goldfeld & Richard Quandt	Alexander Craig Aitken
ধরন	F-ratio test for heteroskedasticity	Weighted linear estimator
মৌলিক উৎস	Goldfeld, S. M., & Quandt, R. E. (1965). Some tests for homoscedasticity. Journal of the American Statistical Association, 60(310), 539–547.	Aitken, A. C. (1935). IV.—On least squares and linear combination of observations. Proceedings of the Royal Society of Edinburgh, 55, 42–48.
অপর নাম	GQ Test, Goldfeld-Quandt Heteroskedasticity Test, Split-Sample Variance Ratio Test, Goldfeld-Quandt Homojenlik Testi	WLS, weighted regression, heteroscedasticity-corrected OLS, variance-weighted least squares
সম্পর্কিত	3	3
সারসংক্ষেপ	The Goldfeld-Quandt test, introduced by Stephen Goldfeld and Richard Quandt in 1965, is a classical diagnostic procedure for detecting heteroskedasticity in OLS regression. It operates by sorting observations according to a variable suspected of driving variance, omitting a central block, fitting separate regressions on the two tail sub-samples, and comparing their residual variances via an F-ratio. The test is particularly well-suited to situations where the error variance is believed to increase or decrease monotonically with an observed regressor.	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.