Regression Addendum
نویسنده
چکیده
Linear algebra is used to demonstrate two important assertions in the main text: (1) that the expectation value of the chi-square statistic χ is equal to the degrees of freedom—the number of data points less the number of fit parameters and (2) the “∆χ = 1” rule—which states that if any fit parameter is offset one standard deviation from its best-fit value, the minimum χ (with that parameter fixed there) will increase by one.
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