- Central limit theorem: the cornerstone of modern statistics
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Kwak SG, Kim JH
- KMID: 2377414
- Korean J Anesthesiol.
- 2017 Apr;70(2):144-156.
- doi: 10.4097/kjae.2017.70.2.144
According to the central limit theorem, the means of a random sample of size, n, from a population with mean, µ, and variance, σ², distribute normally with mean, µ, and... -
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- A study on the Statistical Distribution and Testing of Variation Indicies at the Small Area Variation Analysis
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Nam J, Lee S, Cho W
- KMID: 2282983
- Korean J Prev Med.
- 1999 Feb;32(1):80-87.
OBJECTIVES: The Study of Small Area Variation(SAV) is most interesting issue in the health care researches. Most studies of SAV have been concluded the existences of variation on the basis... -
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- Pre-Operative Perfusion Skewness and Kurtosis Are Potential Predictors of Progression-Free Survival after Partial Resection of Newly Diagnosed Glioblastoma
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Paik W, Kim HS, Choi CG, Kim SJ
- KMID: 2351171
- Korean J Radiol.
- 2016 Feb;17(1):117-126.
- doi: 10.3348/kjr.2016.17.1.117
OBJECTIVE: To determine whether pre-operative perfusion skewness and kurtosis derived from normalized cerebral blood volume (nCBV) histograms are associated with progression-free survival (PFS) of patients after partial resection of newly... -
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