<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gd="http://schemas.google.com/g/2005"><id>tag:blogger.com,1999:blog-7958828565254404797.post3948656384412602358..comments</id><updated>2024-12-13T03:11:35.450-08:00</updated><title type='text'>Comments on ListenData: SAS: Time Series Forecasting - ARIMA</title><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://www.listendata.com/feeds/comments/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/3948656384412602358/comments/default'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/09/time-series-forecasting-arima-part-2.html'/><link rel="hub" href="http://pubsubhubbub.appspot.com/"/><author><name>Deepanshu Bhalla</name><uri>http://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>1</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-6198889265221292388</id><published>2017-07-24T06:22:08.097-07:00</published><updated>2017-07-24T06:22:08.097-07:00</updated><title type='text'>despite doing everything - using MINIC, my autocor...</title><content type='html'>despite doing everything - using MINIC, my autocorrelation is still significant, what should I do<br /><br /> Autocorrelation Check of Residuals <br /> <br /> To Chi- Pr &gt; <br /> Lag Square DF ChiSq --------------------Autocorrelations-------------------- <br /> <br /> 6 19.46 4 0.0006 -0.045 -0.094 0.282 -0.178 0.079 0.279 <br /> 12 41.37 10 &lt;.0001 -0.260 0.024 0.311 -0.199 0.005 -0.121 <br /> 18 64.20 16 &lt;.0001 -0.275 0.212 -0.075 -0.193 0.207 -0.072 <br /> 24 92.59 22 &lt;.0001 -0.125 0.151 -0.180 -0.168 0.272 -0.250 </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/3948656384412602358/comments/default/6198889265221292388'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/3948656384412602358/comments/default/6198889265221292388'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/09/time-series-forecasting-arima-part-2.html?showComment=1500902528097#c6198889265221292388' title=''/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/09/time-series-forecasting-arima-part-2.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-3948656384412602358' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/3948656384412602358' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="July 24, 2017 at 6:22 AM"/></entry></feed>