Breusch-godfrey lm检验
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 检验类似于 Ljung-Box 检验,但它是专门用于回归模型的残差检 … Web知乎,中文互联网高质量的问答社区和创作者聚集的原创内容平台,于 2011 年 1 月正式上线,以「让人们更好的分享知识、经验和见解,找到自己的解答」为品牌使命。知乎凭借 …
Breusch-godfrey lm检验
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Webformula. a symbolic description for the model to be tested (or a fitted "lm" object). order. integer. maximal order of serial correlation to be tested. order.by. Either a vector z or a … WebMar 14, 2024 · Breusch-Godfrey Serial Correlation LM Test: F-statistic 4.347550 Probability 0.05975 ... 根据LM检验的判断规则nR方应该服从卡方分布,另外看残差滞后 …
WebApr 16, 2024 · To perform a Breusch-Godfrey test in Python, we can use the acorr_breusch_godfrey() function from the statsmodels library. The following step-by …
WebBP检验(Breusch-Pagan): 思路:存在异方差 → \varepsilon_i^2 对 \boldsymbol{x_i} 回归的回归系数不全为零 → \varepsilon_i^2 不可观测,用 e_i^2 替代 \varepsilon_i^2 进行辅助回归; 辅助回归: e_i^2 = \delta_1 + … WebSep 24, 2024 · 此外,还有white检验、G-Q检验和Breuch-Pagan LM检验。white检验不是stata官方的命令,需要单独下载补丁,G-Q检验则需要对变量有较多的先验认识。我重点介绍一下B-P LM检验在stata中的实现: 在执行完回归指令regress以后,用 hettest 变量名 这个命令就能实现。
Web在统计学中,BP检验(英語:Breusch–Pagan test)是1979年由布伦斯(英语:Trevor Breusch)和帕甘(英语:Adrian Pagan)提出的方法,用来检验线性回归模型中是否存 …
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: … g-yksoWebBG检验 BG检验也称LM检验 EViews操作 在原始模型估计窗口 点击View/Residual Tests/LM Test 选择滞后期数,默认为2 2-24 BG检验 Breusch-Godfrey Serial Correlation LM Test: F-statistic Obs*R-squared Test Equation: Dependent Variable: RESID 445.4201 192.3856 Prob. F(2,239) Prob. Chi-Square(2) 0.0000 0.0000 ... gylaine mahWebJul 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 … pimpahemmaWebJul 13, 2024 · Breusch & Godfrey检验的原假设就是: 所构造的F统计量为: 你图中报告的结果,F统计量的统计值为1.30377,对应p值为0.3080,远大于0.1,故不能够拒绝原假 … gyku japaneseWeb本文( 计量经济学英汉术语名词对照及解释.docx )为本站会员( b****6 )主动上传,冰豆网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知冰豆网(发送邮件至[email protected]或直接QQ联系客服 ... pimpackiukai onlineWebApr 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 … pi moving to mainnetThe Breusch–Godfrey test is a test for autocorrelation in the errors in a regression model. It makes use of the residuals from the model being considered in a regression analysis, and a test statistic is derived from these. The null hypothesis is that there is no serial correlation of any order up to p. Because the test is … See more In statistics, the Breusch–Godfrey test is used to assess the validity of some of the modelling assumptions inherent in applying regression-like models to observed data series. In particular, it tests for the presence of See more • Breusch–Pagan test • Durbin–Watson test • Ljung–Box test • Autoregressive-moving-average model See more • In R, this test is performed by function bgtest, available in package lmtest. • In Stata, this test is performed by the command estat bgodfrey. • In SAS, the GODFREY option of the MODEL statement in PROC AUTOREG provides a version of this test. See more • Godfrey, L. G. (1988). Misspecification Tests in Econometrics. Cambridge, UK: Cambridge. ISBN 0-521-26616-5. • Godfrey, L. G. (1996). "Misspecification Tests and Their Uses in … See more gyimesi racka juh