Claims experience monitoring

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Date: 2013-08-05 02:12:14 Hypothesis testing Design of experiments Econometrics Statistical hypothesis testing F-test Confidence interval Likelihood-ratio test Economic model Null hypothesis Statistics Statistical inference Statistical tests		Claims experience monitoring Add to Reading List Source URL: fbe.unimelb.edu.au Download Document from Source Website File Size: 269,48 KB Share Document on Facebook

	The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract DocID: 1uUlT - View Document
	Appendix 5 Computing the Power of Statistical Tests There are two types of errors that one can make when performing a statistical test. A false positive (a Type I error) occurs when the null hypothesis is rejected when DocID: 1u93f - View Document
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