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Statistical theory and methodology. Mathematical statistics. Parametric inference. Nonparametric inference.enSat, 02 Jul 2016 08:47:35 GMTvBulletin60http://www.talkstats.com/images/misc/rss.pngStatistics Help @ Talk Stats Forum - Statistical Research
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Poisson process
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Fri, 01 Jul 2016 11:51:37 GMTDear statisticians,
I have a question that is of great importance for my master thesis in insurance science. I have obtained a dataset that...Dear statisticians,

I have a question that is of great importance for my master thesis in insurance science. I have obtained a dataset that records the aggregate claim size per individual in connection to health care insurance for a certain policy year. What I do not observe, however, is the number of claims that the individuals effectively made.

Now---for a reason that is too complex to explain---I want to model claim size (per individual) in terms of "times that the individual claimed 50 dollar". My question therefore is: could this ("the number of times that an individual's cumulative health care cost exceeds a multiplicity of 50") possibly be interpreted as a Poisson process? And if not, is there another frequency distribution that could address this issue?

Many thanks in advance, B.
]]>Statistical Researchkulstudenthttp://www.talkstats.com/showthread.php/65677-Poisson-processWhich interrater reliability test to chose and how to set up the data matrix?
http://www.talkstats.com/showthread.php/65675-Which-interrater-reliability-test-to-chose-and-how-to-set-up-the-data-matrix?goto=newpost
Fri, 01 Jul 2016 09:24:28 GMTI have a question regarding which interrater reliability test I should use.
The situation is as follows: 12 judges rated 20 profiles with 14...I have a question regarding which interrater reliability test I should use.

The situation is as follows: 12 judges rated 20 profiles with 14 questions (each profile was rated with the same 14 questions). I want to know to what degree the raters agreed in their judgments.

I was thinking about using ICC (should I use single or average measures?)/Fleisch Kappa/Krippendorf's alpha. But I'm not sure which one to take. Next to that, depending on the reliability test, how should I organize the dataset?

Thanks in advance for your input!
]]>Statistical ResearchMaartenthhttp://www.talkstats.com/showthread.php/65675-Which-interrater-reliability-test-to-chose-and-how-to-set-up-the-data-matrixGoodness of fit test for categorical data with non-negative real numbersca
http://www.talkstats.com/showthread.php/65668-Goodness-of-fit-test-for-categorical-data-with-non-negative-real-numbersca?goto=newpost
Thu, 30 Jun 2016 14:48:40 GMTAn experiment that I conduct has 5 outcomes: A, B, C and D. I conduct 12 trials for this experiment. I observe, for example:
Outcome : Frequency...An experiment that I conduct has 5 outcomes: A, B, C and D. I conduct 12 trials for this experiment. I observe, for example:

Outcome : Frequency
A : 2
B : 3
C : 0
D : 5
E : 2

Now, I have a model that predicts the frequency. However, the predictions are non-negative real numbers. For example:

Outcome : Predicted frequency
A : 1.75
B : 2.77
C : 0.11
D : 3.82
E : 3.55

I attempted to use the Pearson's Chi-square goodness of fit test to evaluate . However, since the values of frequency are below 5, I read that this test is not the best choice (= reliable). So, I attempted to use Fisher's exact test. The limitation of Fisher's exact test is that the data has to be non-negative integers.

My question: Is there a way to evaluate the p-value between the observed and predicted sets of data where the predicted data are not integers, but non-negative real numbers. The values of frequency are often lesser than 5.
]]>Statistical Researchbakwashttp://www.talkstats.com/showthread.php/65668-Goodness-of-fit-test-for-categorical-data-with-non-negative-real-numbersca