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c数值算法程序大全c15-2
15.2 Fitting Data to a Straight Line 661
as a distribution can be. Almost always, the cause of too good a chi-square fit
is that the experimenter, in a “fit” of conservativism, has overestimated his or her
measurement errors. Very rarely, too good a chi-square signals actual fraud, data
that has been “fudged” to fit the model.
A rule of thumb is that a “typical” value of for a “moderately” good fit is
. More precise is the statement that the statistic has a mean and a standard
v r P C S
i e e a
s a o
i r p m
t d
deviation , and, asymptotically for large , becomes normally distributed.
w a m y p
i r
e b s i l
In some cases the uncertainties associated with a set of measurements are not b l s g e
e i h p
s f o t
i n a
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