Yes, there are outliers that are removed at both ends of the dataset before the data is crunched... however when the program runs it automatically removes outliers, again at both ends, that would otherwise break the program. There is no data fix for this. If you wish to stop the removal of some of the program discarded outliers, then the method being used must have a parameter/weighting "refined".
What insults?
I'm not claiming that I'm well read, I'm claiming that I've actually seen it happen i.e. watched with breakpoints, siphoned off the outliers before they're automatically removed for further analysis (not data fixing). I was given a book to read in order to help me get my head around the methods being used and how the outcomes were being formed, but that was just 1 book briefly covering 5 or 6 "methodologies".
I didn't think!!! I experimented!!!
You're getting confused about how to apply stats. A line of best fit is not necessarily something that applies to surveys, however it does applies to physical laws and the like. So it's another strawman, and no valid points raised about the article in question (which didn't even have a straight line fitted, just in case you missed that bit).
"A shark on whiskey is mighty risky, but a shark on beer is a beer engineer" - Tad Ghostal
That's misapplication of methodology. If you'd read what Ocean posted you'd know that wasn't the case in that one, nor is it the case in any other where proper scientific method is observed.
That was directed at another poster entirely, hence why I quoted him. Perhaps you should just start with read.
"A shark on whiskey is mighty risky, but a shark on beer is a beer engineer" - Tad Ghostal
I didn't think!!! I experimented!!!
Seems to me you've already been lamenting the whole field as a sham based on his work, so it would be only courteous to say it to his face.
The misapplication to which I refer is you assuming such a method is used in the article under discussion; it's not, you'd know that if you read it and understood it.
"A shark on whiskey is mighty risky, but a shark on beer is a beer engineer" - Tad Ghostal
I was the one who "cornered" him. Been there, done that and gained understanding of his work. Something you should try someday.
I read it. I understood it. It's still best guess. You'd know that if you had any actual experience with these things. You quite obviously don't... but please carry on.
I didn't think!!! I experimented!!!
I didn't think!!! I experimented!!!
no not confused
i use stats when setting up tolerances of drawings H7/h6
If that aint a statistical fit i dont know what is
as for article quoted . . Im not sure which one u are referring to
Ocean the dear chap had some charts which showed how we are all doing fine finerer thanks to the like of bin sultan big daddie warburgs and uncle george (soros)
cos they paid taxes and all ( they do and is a good reason why they are to big to fail cos places like london need the tax take )
Now Ive read a fair bit and not often do u see texts sayin its all good in the emerald city with me green glasses on
but I will look into it and return ....
already ... if u look at the title... gdp to population.....all it would need is one lord palmerston or a prescott to lift the average up but i wont comment untill ive read it
finally never had a thing for strawmen ,...always preferred Dorothy me self
Sent from my SC-01G using Tapatalk
"Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."
Yeh, you're defintely confused about em, income stats has fuck all to do with setting engineering tolerances. You don't fit a straight line to income stats. The article from which the graph's ocean posted is of course what is being referred to, again, something you'd know if you werewellread. The only people bringing up such straight line fits are those playing with strawmen.
So, specifically, which bit refers to the removal of outliers?
"A shark on whiskey is mighty risky, but a shark on beer is a beer engineer" - Tad Ghostal
I didn't think!!! I experimented!!!
Mate only you are talking about fitting straight lines to income stats .... and as for the article seems your reading skills aint what they used to be
As I pointed out I haven't had the chance to read the article , which is why I differed and gave Ocean the benefit of the doubt UNTIL I could read the article . That is what I said .....
forget straw-man arguments , you just need to get the basics right first ..
In the mean time , wander downstairs , have a look at someone working , say an NC machine , somewhere near the machine there will be a clip board with all the measurements on it , upper deviations and lower .... good luck with those straight lines ..............
"Look, Madame, where we live, look how we live ... look at the life we have...The Republic has forgotten us."
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