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Statistical theory and methodology. Mathematical statistics. Parametric inference. Nonparametric inference.enThu, 08 Dec 2016 07:41:35 GMTvBulletin60http://www.talkstats.com/images/misc/rss.pngStatistics Help @ Talk Stats Forum - Statistical Research
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S-shapec urve goodness of fit
http://www.talkstats.com/showthread.php/67455-S-shapec-urve-goodness-of-fit?goto=newpost
Wed, 07 Dec 2016 06:44:33 GMThi,

I'm looking for a statistical test to prove (statistically) that the cumulative curve is S-shape

When I try to look for answer I get 2 types of answers:
1. test to prove that the data is from normal distribution. it is true that the cumulative curve of a normal distribution is S-shaped but it does not mean that every S-shape curve is from a normal distribution, this means that this test does not supply what i am looking for

2. ways to fit a S-shape curve to a data on a graph. This just gives an S-shape line that is close to the data but does not provide a statistical test to statistically significant prove that the data is from an S-shape form.

Thank you,
Mor
]]>Statistical Researchatlasmhttp://www.talkstats.com/showthread.php/67455-S-shapec-urve-goodness-of-fitPoisson point process
http://www.talkstats.com/showthread.php/67439-Poisson-point-process?goto=newpost
Tue, 06 Dec 2016 19:24:31 GMTI came across this in a network model:
*Distribute N points according to a homogeneous Poisson point process in a two-dimensional space of unit...I came across this in a network model:

Distribute N points according to a homogeneous Poisson point process in a two-dimensional space of unit area.

No more info was given. Could somebody enlighten me on what this means? Usually I think of this as:
1) Generate the random variable N = n distributed as Poisson for a given lambda and area.
2) Generate n uniform points in that area.

But here N is fixed. What would be a procedure for the statement in bold text above?
]]>Statistical Researchspinningfeatherhttp://www.talkstats.com/showthread.php/67439-Poisson-point-process