Can anyone help with this please?
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I have a set of N images. I train a classifier to label pixels in an image
as one of a set of classes. To estimate the accuracy of the classifier I use
cross-validation with k folds, training on k-1 and testing on 1. Thus the
estimated accuracy on an image
Can anyone recommend books or websites where I can find information
specific to SPC application in iron casting foundry?
TIA.
Best Regards,
ONG See Liang
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Herman Rubin wrote:
For prediction, we should estimate the distribution of
the errors and use that; the distribution of the errors
of estimate are not going to be too far from normal
compared to that, if the regression is a reasonable
model. Lack of near independence between the
If your interest is reliability then you don't need to do any statistical
comparisons. What you are describing is a case for generalizability theory
in which you use the data to estimate the variance components and then
estimate what the reliability would be if you vary the number of trials.
Recommend you decide first what is important for a specific
product/process.
Start with run charts - not to worry about full SPC.
See what that tells you about product consistency - I bet you will learn a
lot early on.
Then work toward more calculation intense charts.
Only a very few charts
most books talk about inferential statistics ... particularly those where
you take a sample ... find some statistic ... estimate some error term ...
then build a CI or test some null hypothesis ...
error in these cases is always assumed to be based on taking AT LEAST a
simple random sample
Hi, Dennis!
Yes, as you point out, most elementary textbooks treat only SRS
types of samples. But while (as you also point out) some more realistic
sampling methods entail larger sampling variance than SRS, some of them
have _smaller_ variance -- notably, stratified designs when the
On Sat, 21 Jul 2001 12:08:38 -0400, [EMAIL PROTECTED] wrote:
I am pleased (and relieved) to announce the publication of
Regression Modeling Strategies, With Applications to Linear
Models, Logistic Regression, and Survival Analysis
(Springer, June 2001).
[ ... ]
More information may be
At 03:55 PM 7/24/01 -0400, Donald Burrill wrote:
Hi, Dennis!
Yes, as you point out, most elementary textbooks treat only SRS
types of samples. But while (as you also point out) some more realistic
sampling methods entail larger sampling variance than SRS, some of them
have _smaller_
Dennis Roberts wrote:
but, we KNOW that most samples are drawn in a way that is WORSE than SRS ...
thus, essentially every CI ... is too narrow ... or, every test statistic
... t or F or whatever ... has a p value that is too LOW ...
what adjustment do we make for this basic problem?
We
Dennis Roberts writes:
most books talk about inferential statistics ... particularly those
where you take a sample ... find some statistic ... estimate some error
term ... then build a CI or test some null hypothesis ...
error in these cases is always assumed to be based on taking AT
my hypothesis of course is that more often than not ... in data collection
problems where sampling is involved AND inferences are desired ... we goof
far more often ... than do a better than SRS job of sampling
1. i wonder if anyone has really taken a SRS of the literature ... maybe
http://www.afslibrary.com/
The site for the Library of the American Foundry Society.
--
Aaron Gesicki
Sparta, Wisconsin
Coulee Country - 40 km from the Mississippi
AAW - Northeastern Wisconsin Coulee Region
Northeastern Wisconsin Woodworkers Guild
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