From Shapiro and Wilk's paper:
> The objective is to derive a test for the hypothesis that this is a
sample from a normal distribution with unknown mean mu and unknown
variance sigma^2
That is, the estimates of the mean and SD are folded into the
derivation of the test statistic.
If y
Wouldn't that be because the sample is not being compared to a specific
distribution but rather to many possible distributions by MC? [1]
If you think that need not be the case, perhaps you can write your own test...
but then it will probably be answering a different question?
[1] https://en.m.
Hi,
In ?shapiro.test, there seems to be no option to pass mean and sd
information of the Normal distribution which I want to compare my
sample data to.
For example in the code below, I want to test my sample to N(0, 10).
shapiro.test(rnorm(100, mean = 5, sd = 3))
Is there any way to pass the in
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