Web三、Breusch-Godfrey检验. BG检验克服了DW检验的缺陷,适合于高阶序列相关及模型中存在滞后被解释变量的情形。 考虑如下多元线性模型: … WebEarlier tests for multiple orders of autocorrelation The Breusch–Godfrey test The advantage of the B-G test over tests for AR(1) is that it may be applied to test a null hypothesis over a range of lag orders:. estat bgodfrey, lags(4) Breusch-Godfrey LM test for autocorrelation lags(p) chi2 df Prob > chi2 4 132.364 4 0.0000 H0: no serial ...
怎么用STATA检验时间序列数据的异方差和自相关? - Stata专版
WebBreusch-Godfrey Test . STATA NOTES: To demonstrate that replacing the missing value of . e. ˆ. 0 =0 , consider the following simple regression for the Phillips curve: INF DU e t … Web另一个用于检验残差自相关的效果较好的检验方法是 Breusch-Godfrey 检验,也被称为 LM (拉格朗日乘数)检验。假如p值小于一个特定值(例如0.05),则表明残差中存在显著的自相关性。 Breusch-Godfrey 检验 … child led provision
关于一元线性回归、自相关性与Stata实现_LegendCBT的博客 …
WebApr 16, 2024 · For this example, we’ll choose p = 3. import statsmodels.stats.diagnostic as dg #perform Breusch-Godfrey test at order p = 3 print(dg.acorr_breusch_godfrey(model, nlags=3)) (8.70314827, 0.0335094873, 5.27967224, 0.0403980576) The first value in the output represents the test statistic and the second value represents the corresponding p … WebJul 22, 2024 · R假设检验之Breusch-Godfrey检验(Breusch-Godfrey Test). 线性回归中的一个关键假设是残差之间不存在相关性,即残差是独立的。. 为了测试一阶自相关,我们 … WebJun 6, 2016 · 此检验称为“Breusch-Godfrey检验”(Breusch,1978;Godfrey,1978,简记BG)。DavidsonMacKinnon(1993)建议,把残差中因滞后而缺失的项用其期望值0来代替,以保持样本容量仍为,然后使用LM统计量Davidson-MacKinnon方法为Stata的默认设置。123.Q检验分别为扰动项的1至p阶自相关系数。 child led play quotes