1702 search results for "time series"

Hey! I made you some Wiener processes!

September 7, 2011
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Hey! I made you some Wiener processes!

Check them out. Here are thirty homoskedastic ones: > homo.wiener for (j in 1:30) {  for (i in 2:length(homo.wiener)) {          homo.wiener for (j in 1:30) {        plot( homo.wiener,           type = "l", col = rgb(.1,....

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Hey! I made you some Wiener processes!

September 7, 2011
By
Hey! I made you some Wiener processes!

Check them out. Here are thirty homoskedastic ones: > homo.wiener for (j in 1:30) {  for (i in 2:length(homo.wiener)) {          homo.wiener for (j in 1:30) {        plot( homo.wiener,           type = "l", col = rgb(.1,....

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2011 Perth City to Surf Stats

September 6, 2011
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2011 Perth City to Surf Stats

Like every year, August sees the thousands taking part in the Perth City to Surf, and with that comes the chance for some stats. Why? Curiosity more than anything, and to convince myself that my time in the 12km run … Continue reading →

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Example 9.4: New stuff in SAS 9.3– MI FCS

September 6, 2011
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Example 9.4: New stuff in SAS 9.3– MI FCS

We begin the new academic year with a series of entries exploring new capabilities of SAS 9.3, and some functionality we haven't previously written about.We'll begin with multiple imputation. Here, SAS has previously been limited to multivariate norma...

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Assessing the Forecasting Ability of Our Model

September 2, 2011
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Assessing the Forecasting Ability of Our Model

Today we wish to see how our model would have faired forecasting the past 20 values of GDP. Why? Well ask yourself this: How can you know where your going, if you don't know where you've been? Once you understand please proceed on with the following post.First recall the trend portion that we have already accounted for:> t=(1:258)> t2=t^2> trendy= 892.656210 +...

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Some Additional Thoughts on Useless Averages

Some Additional Thoughts on Useless Averages

In my last post, I described three situations where the average of a sequence of numbers is not representative enough to be useful: in the presence of severe outliers, in the face of multimodal data distributions, and in the face of infinite-variance distributions.  The post generated three interesting comments that I want to respond to here.First and foremost, I...

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SIGKDD 2011 Conference — Days 2/3/4 Summary

August 27, 2011
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SIGKDD 2011 Conference — Days 2/3/4 Summary

<< My review of Day 1. I am summarizing all of the days together since each talk was short, and I was too exhausted to write a post after each day. Due to the broken-up schedule of the KDD sessions, I group everything together instead of switching back and forth among a dozen different topics. By far the most enjoyable...

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25+ more ways to bring data into R

August 26, 2011
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25+ more ways to bring data into R

The rdatamarket post on the Revolutions blog and this post on Decision Stats reminded me about my list of Data APIs/feeds available as packages in R on Cross-Validated (which is a great site that you all should use).  Many of these packa...

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Fourier-Motzkin elimination with the editrules package

August 26, 2011
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Fourier-Motzkin elimination with the editrules package

Last week I talked about our editrules package at the useR!2011 conference. In the coming time I plan to write a short series of blogs about the functionality of editrules. Below I describe the eliminate and isFeasible functions. But first: a bit ...

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Fourier-Motzkin elimination with the editrules package

August 26, 2011
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Last week I talked about our editrules package at the useR!2011 conference. In the coming time I plan to write a short series of blogs about the functionality of editrules. Below I describe the eliminate and isFeasible functions. But first: … Continue reading →

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