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The t-test assumes that the two populations have identical standard deviations; the test tends to be unreliable if the assumption is false and the sizes of the two samples are very different (Welch's t-test would be better). Comparing the means of the populations via AIC, as in the example above, has an advantage by not making such assumptions.
Hirotugu Akaike. Hirotsugu Akaike (赤池 弘次, Akaike Hirotsugu, IPA: [akaike çiɾotsɯɡɯ], November 5, 1927 – August 4, 2009) was a Japanese statistician. [1] In the early 1970s, he formulated the Akaike information criterion (AIC). AIC is now widely used for model selection, which is commonly the most difficult aspect of statistical ...
v. t. e. In statistics, the Bayesian information criterion (BIC) or Schwarz information criterion (also SIC, SBC, SBIC) is a criterion for model selection among a finite set of models; models with lower BIC are generally preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC).
The following is a list of the volumes of the Auditing and Accounting Guide series published by the American Institute of Certified Public Accountants (AICPA). The list was compiled using the resources of the University of Mississippi library. The list also includes titles from the earlier series: AICPA Accounting Guides and AICPA Industry ...
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Glycated hemoglobin. Glycated hemoglobin, glycohemoglobin, glycosylated hemoglobin is a form of hemoglobin (Hb) that is chemically linked to a sugar. Several types of glycated hemoglobin measures exist, of which HbA1c, or simply A1c, is a standard single test. [1] Most monosaccharides, including glucose, galactose, and fructose, spontaneously ...