Hello everybody, I am currently doing research on climate and climate change. I have reconstructed the climate of the past 130 years and now want to test its significance, compared with the real measured values. How should I test the significance of this model. I use Quattro Pro 9. It has a t-test, but the values are always 0,99935 or something like that. I get the impression this is to good to be true. It even displayed 1 as a result, while the graphs were certainly no perfect match (r=0,9). So what is the formula and how can I make it in Quattro Pro 9? Another thing is the use of a bicubic spline filter. I want to use it, as it often is used in climatology. But how do I make such a filter (in Quattro Pro, I use no other software). Is it appropriate to use such a way of optimising correlation? Do you know of any free available (on the net) software that works in Windows and will do the job for me (and lets me import my QPro data in it). Every help will be appreciated, so thanks in advance. Jorge =========================================================================== This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===========================================================================
