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    <title>topic Re: ARIMA (p,d,q) in laymen's terms in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA-p-d-q-in-laymen-s-terms/m-p/19570#M74</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;AR: p = order of the autoregressive part&lt;/P&gt;&lt;P&gt;I: d = degree of first differencing involved&lt;/P&gt;&lt;P&gt;MA: q = order of the moving average part&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I guess this is not the answer you were hoping for - the good news is that there is a vast amount of literature out there providing more detailed and also applied answers to your question. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My personal favourites include:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Forecasting: Methods and Applications - Makridakis, Wheelwright, and Hyndman&lt;/LI&gt;&lt;LI&gt;Time-Series Forecasting: Chatfield&lt;/LI&gt;&lt;LI&gt;Forecasting and Time Series: An Applied Approach - Bowerman and O'Connell&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;This list is by no means complete and other subscribers of this discussion forum will have their own preferences for sure.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For a more SAS specific forecasting book, with lots of examples, I can highly recommend: &lt;A href="https://support.sas.com/pubscat/bookdetails.jsp?catid=1&amp;amp;pc=57275"&gt;https://support.sas.com/pubscat/bookdetails.jsp?catid=1&amp;amp;pc=57275&lt;/A&gt; by Brocklebank and Dickey.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Furthermore you might want to consult the ever-growing amount of public statistical forecasting web pages, for example: &lt;A href="http://home.ubalt.edu/ntsbarsh/stat-data/forecast.htm"&gt;http://home.ubalt.edu/ntsbarsh/stat-data/forecast.htm&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Hyndman and Athanasopoulos are also working on a new online text­book on forecasting: &lt;A href="http://robjhyndman.com/fpp/"&gt;http://robjhyndman.com/fpp/&lt;/A&gt; - however, the chapter on ARIMA is still missing.&lt;/P&gt;&lt;P&gt;Again, this list is by no means complete and others might want to chime in as well.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;And of course, there is always the option to attend training classes offered by SAS education, which I can also highly recommend: &lt;A href="http://support.sas.com/training/us/paths/for.html"&gt;http://support.sas.com/training/us/paths/for.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Udo&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 22 Dec 2011 22:07:00 GMT</pubDate>
    <dc:creator>udo_sas</dc:creator>
    <dc:date>2011-12-22T22:07:00Z</dc:date>
    <item>
      <title>ARIMA (p,d,q) in laymen's terms</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA-p-d-q-in-laymen-s-terms/m-p/19569#M73</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I need to investigate how to build an ARIMA model, but can anyone describe for me the meaning of (p,d,q) in layman's terms... when and how to use them, and the difference between different scenarios?&amp;nbsp; Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Dec 2011 19:35:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA-p-d-q-in-laymen-s-terms/m-p/19569#M73</guid>
      <dc:creator>podarum</dc:creator>
      <dc:date>2011-12-22T19:35:08Z</dc:date>
    </item>
    <item>
      <title>Re: ARIMA (p,d,q) in laymen's terms</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA-p-d-q-in-laymen-s-terms/m-p/19570#M74</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;AR: p = order of the autoregressive part&lt;/P&gt;&lt;P&gt;I: d = degree of first differencing involved&lt;/P&gt;&lt;P&gt;MA: q = order of the moving average part&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I guess this is not the answer you were hoping for - the good news is that there is a vast amount of literature out there providing more detailed and also applied answers to your question. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My personal favourites include:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Forecasting: Methods and Applications - Makridakis, Wheelwright, and Hyndman&lt;/LI&gt;&lt;LI&gt;Time-Series Forecasting: Chatfield&lt;/LI&gt;&lt;LI&gt;Forecasting and Time Series: An Applied Approach - Bowerman and O'Connell&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;This list is by no means complete and other subscribers of this discussion forum will have their own preferences for sure.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For a more SAS specific forecasting book, with lots of examples, I can highly recommend: &lt;A href="https://support.sas.com/pubscat/bookdetails.jsp?catid=1&amp;amp;pc=57275"&gt;https://support.sas.com/pubscat/bookdetails.jsp?catid=1&amp;amp;pc=57275&lt;/A&gt; by Brocklebank and Dickey.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Furthermore you might want to consult the ever-growing amount of public statistical forecasting web pages, for example: &lt;A href="http://home.ubalt.edu/ntsbarsh/stat-data/forecast.htm"&gt;http://home.ubalt.edu/ntsbarsh/stat-data/forecast.htm&lt;/A&gt;&lt;/P&gt;&lt;P&gt;Hyndman and Athanasopoulos are also working on a new online text­book on forecasting: &lt;A href="http://robjhyndman.com/fpp/"&gt;http://robjhyndman.com/fpp/&lt;/A&gt; - however, the chapter on ARIMA is still missing.&lt;/P&gt;&lt;P&gt;Again, this list is by no means complete and others might want to chime in as well.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;And of course, there is always the option to attend training classes offered by SAS education, which I can also highly recommend: &lt;A href="http://support.sas.com/training/us/paths/for.html"&gt;http://support.sas.com/training/us/paths/for.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Udo&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Dec 2011 22:07:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA-p-d-q-in-laymen-s-terms/m-p/19570#M74</guid>
      <dc:creator>udo_sas</dc:creator>
      <dc:date>2011-12-22T22:07:00Z</dc:date>
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