Multiple time-series
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From: Rogelio on 12 Aug 2010 09:18 "Sanette " <blugekko11(a)gmail.com> wrote in message <i40etg$jcd$1(a)fred.mathworks.com>... > > > Ok, Im not an expert in meteorology but i can help u with the modelliing issues. The "easy" model you can use is a OLS, i.e. linear regression model. Where you have a dependent variable ( I presume that in your case is visibility) and two independent variables ( in this case will be air preassure and wind speed). So, this model will "tell you" if the wind and the preasure have any influence in the visibility and the degree of it. It might be the case that a linear model, such as OLS, does not fit your data, i.e. the model is not helpful for your purposes. This you will know it by conducting the proper diagnostic tests for the OLS. I suggest u to get and introductory book to statistics and read a bit about OLS or wikipedia, so you can interprete correctly your results. Of course, this might be not what you are looking. Let me know if this sounds like what you need.< > > Thank you, I'll read up on it! But it definitely sounds like the first step in modelling I'd look into. Now just for the data incorporation. > Thank you kindly! how do you have your data? which format? you mention that the frequencies are not equal, right? which frequencies do you have? As I mendtion I do not know anything about meteorology but I pressume that it is inapropriate to use different frequencies in a OLS. The results will be not meaningful. Do you have any book of applied statistics in meteorology? |