By Lawrynowicz J. (Ed)
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Additional resources for Analytic Functions Kozubnik 1979: Proceedings
5 Confidence Interval on the Ratio of Variances of Two Normal Distributions This section approaches the question of giving a confidence interval on the ratio 21/22 of the variances of two distributions N1(1,1) and N2(2,2) with unknown means and variances. Let x11,x12,. , x1n1 be a random sample of n1 observations from N1 and x21,x22,. , x2n2 be a random sample of n2 observations from N2. f. f. in the denominator. Appendix contains a description of the F distribution. We can also compute one-sided confidence intervals.
September 18–19, 2006. 12. Esbensen, K. ; Minkkinen, P. Guest Editors. In Chemometrics and Intelligent Laboratory Systems, Vol. 74, 1, 2004, Special issue: 50 years of Pierre Gy’s Theory of Sampling, Proceedings First World Conference on Sampling and Blending (WCSB1). Tutorials on Sampling: Theory and Practice. 13. Lars, P. Pierre Gy’s Theory of Sampling (TOS) – In Practice: Laboratory and Industrial Didactics Including a First Foray into Image Analytical Sampling, Phd Thesis, ACABS Research Group, Aalborg University Esbjerg, Niels Bohrs Vej 8, Dk-67000 Esbjerg, Denmark, 2005.
FA[t] is a random component characterized by neighboring fragments that are different and the resulting proportion of a given size fraction changing in a chaotic and unpredictable way at very short time intervals, regardless of the fact that these fragments may originate at the same place earlier in the process. fB[t] is a nonrandom, nonperiodic component, essentially continuous, which is an inherent property of the feed heading to the plant, for example, the slowly changing hardness of the ore.
Analytic Functions Kozubnik 1979: Proceedings by Lawrynowicz J. (Ed)