Guest essay by Sheldon Walker
A quick recap for anybody who missed my first article.
My first article can be found here.
I have developed a new technique for analysing global warming (and other things). It is called Multi Trend Analysis, or MTA. It analyses the data in a time interval, by calculating the trend between every possible pair of points in the interval. The trend includes all of the data points between each pair of points as well. This can involve a lot of trends. To analyse the interval [January 1975 to December 1999] involves 16,920 trends. A trend is basically a linear regression.
I have developed methods that allow large numbers of trends to be analysed quickly, and the results displayed either graphically or in a table. A trend has 4 main attributes, a start date, an end date, a length, and a slope (with global warming, the…
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