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The analysis of univariate count data involves pairs of random variables@ Yi; Xi of m observations, while in the bivariate and multivariate, analysis data of k pairs ofrandom variables Yij; Xij; i = I;:::; m; j = I;:::; k; are involved. The fundamental goal of the work is, based on the appropriate model assumptions to obtain good estimates for the attribute totals such as: estimating the defective or damage totals, ie, estimating the defective totals Y in a specific factory containing a known total amount of the productions, or estimating the proportions of those defective or damage totals…mehr

Produktbeschreibung
The analysis of univariate count data involves pairs of random variables@ Yi; Xi of m observations, while in the bivariate and multivariate, analysis data of k pairs ofrandom variables Yij; Xij; i = I;:::; m; j = I;:::; k; are involved. The fundamental goal of the work is, based on the appropriate model assumptions to obtain good estimates for the attribute totals such as: estimating the defective or damage totals, ie, estimating the defective totals Y in a specific factory containing a known total amount of the productions, or estimating the proportions of those defective or damage totals with respect to the total amount of the items, as well as, constructing reliable confidence intervals for the proportion, or constructing confidence intervals for any linear combination of these proportions (which may describe some monetary gain or loss).
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Autorenporträt
In 1988 hold a B. Sc of Statistics from Sebha University. In 1998 got a M. Sc in the field of Informatic and Numerical analysis from the University of Gdansk, Poland. And in 2011 got a PhD in Mathematics from University of Magdeburg Germany. Currently lecturer at the college of technical engineering Brak Libya.