<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Advice on time series analysis/ ancova on temporal data in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Advice-on-time-series-analysis-ancova-on-temporal-data/m-p/47519#M27096</link>
    <description>&lt;P&gt;I would like some&amp;nbsp; advise on how I should analyse my time series data.&lt;/P&gt;&lt;P&gt;I have hourly measurements of water temperature data for 5 months across 5 sites.&lt;BR /&gt;I have summarized my data in following way&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;1.Site(5 sites)&lt;/P&gt;&lt;P&gt;2.Day (0-150)&lt;BR /&gt;2. Month (June-October,&amp;nbsp; 5 levels)&lt;BR /&gt;3. Daily Mean Temperature(Response variable 1)&lt;BR /&gt;4. Daily Max Temperature (Response variable 2)&lt;BR /&gt;5.&amp;nbsp; daily standard deviation,or some other measure of variation (Response variable 3)&lt;BR /&gt;So I have 5 x 5 x 150 = 750 observations&lt;/P&gt;&lt;P&gt;I want to test the following : -&lt;BR /&gt;1. Is my response variable significantly different between sites.&lt;/P&gt;&lt;P&gt;2.Is there a monthly interaction? For example in month 1 there all sites have similar response and in month 2 the one site will have significantly higher response than other sites.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&amp;nbsp;I am planning to do a time - series / or a mixed model analysis by specifying an temporal autocorrelation structure.&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;For fixed effect I want the explanatory variables to be&lt;/P&gt;&lt;P&gt;Option 1- month (as factor) , site(as factor) and interaction of these two.&lt;BR /&gt;Option 2 - day (as a continous variable) and site (as factor) and intereaction of these two.&lt;/P&gt;&lt;P&gt;Since this is a time series data I am expecting significant temporal autocorrelation.&lt;BR /&gt;So when I do this analysis for mean and max temperature I should add a correlation structure. But I am not sure which variable should I use for correlation - month or Day ?&lt;/P&gt;&lt;P&gt;Also I want to do an anova/ancova on standard deviation of daily temperature, so for this do I still need to add a correlation structure ? Or since it is a deviation, the values become independent ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 22 Nov 2017 10:18:29 GMT</pubDate>
    <dc:creator>tsingh</dc:creator>
    <dc:date>2017-11-22T10:18:29Z</dc:date>
    <item>
      <title>Advice on time series analysis/ ancova on temporal data</title>
      <link>https://community.jmp.com/t5/Discussions/Advice-on-time-series-analysis-ancova-on-temporal-data/m-p/47519#M27096</link>
      <description>&lt;P&gt;I would like some&amp;nbsp; advise on how I should analyse my time series data.&lt;/P&gt;&lt;P&gt;I have hourly measurements of water temperature data for 5 months across 5 sites.&lt;BR /&gt;I have summarized my data in following way&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;1.Site(5 sites)&lt;/P&gt;&lt;P&gt;2.Day (0-150)&lt;BR /&gt;2. Month (June-October,&amp;nbsp; 5 levels)&lt;BR /&gt;3. Daily Mean Temperature(Response variable 1)&lt;BR /&gt;4. Daily Max Temperature (Response variable 2)&lt;BR /&gt;5.&amp;nbsp; daily standard deviation,or some other measure of variation (Response variable 3)&lt;BR /&gt;So I have 5 x 5 x 150 = 750 observations&lt;/P&gt;&lt;P&gt;I want to test the following : -&lt;BR /&gt;1. Is my response variable significantly different between sites.&lt;/P&gt;&lt;P&gt;2.Is there a monthly interaction? For example in month 1 there all sites have similar response and in month 2 the one site will have significantly higher response than other sites.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&amp;nbsp;I am planning to do a time - series / or a mixed model analysis by specifying an temporal autocorrelation structure.&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;For fixed effect I want the explanatory variables to be&lt;/P&gt;&lt;P&gt;Option 1- month (as factor) , site(as factor) and interaction of these two.&lt;BR /&gt;Option 2 - day (as a continous variable) and site (as factor) and intereaction of these two.&lt;/P&gt;&lt;P&gt;Since this is a time series data I am expecting significant temporal autocorrelation.&lt;BR /&gt;So when I do this analysis for mean and max temperature I should add a correlation structure. But I am not sure which variable should I use for correlation - month or Day ?&lt;/P&gt;&lt;P&gt;Also I want to do an anova/ancova on standard deviation of daily temperature, so for this do I still need to add a correlation structure ? Or since it is a deviation, the values become independent ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Nov 2017 10:18:29 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Advice-on-time-series-analysis-ancova-on-temporal-data/m-p/47519#M27096</guid>
      <dc:creator>tsingh</dc:creator>
      <dc:date>2017-11-22T10:18:29Z</dc:date>
    </item>
    <item>
      <title>Re: Advice on time series analysis/ ancova on temporal data</title>
      <link>https://community.jmp.com/t5/Discussions/Advice-on-time-series-analysis-ancova-on-temporal-data/m-p/47743#M27190</link>
      <description>&lt;P&gt;Hi, tsingh!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm pretty sure this is not what you'd like to hear, but here's my advice:&amp;nbsp; Consult with a professional statistician familiar with time series analyses with whom you can work through all the context and details of your application.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;There are so many questions that come to my mind about your application.&amp;nbsp; In my opinion, working through those isn't one of the strengths of a discussion forum, and your question presents a statistics problem, not necessarily a JMP problem.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Good luck!&lt;/P&gt;</description>
      <pubDate>Tue, 28 Nov 2017 04:49:56 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Advice-on-time-series-analysis-ancova-on-temporal-data/m-p/47743#M27190</guid>
      <dc:creator>Kevin_Anderson</dc:creator>
      <dc:date>2017-11-28T04:49:56Z</dc:date>
    </item>
  </channel>
</rss>

