MATLAB POLYSPACE RELEASE NOTES Uživatelský manuál stáhnout pdf (Strana 190)

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5 Data Analysis

The model has the advantage of being simple while following the up-and-down

trend. The accuracy of its predictive power, however, is questionable,

especially at the ends of the data.

General Linear Regression

Assuming that the data are periodic with a 1 2-hour period and a peak around

hour 7, it is reasonable to fit a sinusoidal model of the form:

yab t=+ −cos(( / )( ))212 7π

The coefficients a and b appear linearly. Use the MATLAB ml divide

(backslash) operator to fit general linear models:

c3 = count(:,3); % Data at intersection 3

tdata = (1:24)';

5-20

1 2 ... 185 186 187 188 189 190 191 192 193 194 195 ... 239 240

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