📄 todo
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* Look at STARPAC ftp://ftp.ucar.edu/starpac/ and Statlibhttp://lib.stat.cmu.edu/ for more ideas* Try using the Kahan summation formula to improve accuracy for theNIST tests (see Brian for details, below is a sketch of the algorithm). sum = x(1) c = 0 DO i = 2, 1000000, 1 y = x(i) - c t = sum + y c = (t - sum) - y sum = t ENDDO* Prevent incorrect use of unsorted data for quartile calculationsusing a typedef for sorted data (?)* Rejection of outliers* Time series. Auto correlation, cross-correlation, smoothing (movingaverage), detrending, various econometric things. Integratedquantities (area under the curve). Interpolation of noisy data/fitting-- maybe add that to the existing interpolation stuff.What aboutmissing data and gaps? There is a new GNU package called gretl which does econometrics* Statistical tests (equal means, equal variance, etc).
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