abstract:             partial knowledge is one of the main factors to take into account when dealing with the improvement of administration of multiple choice questions (mcq). various strategies have been proposed for this factor in traditional testing environment. so this study proposed a confidence based assessment (cba) as a sufficient solution & want to compare the effect of cba scoring sys...

In this paper, we present the Anderson-Darling (AD) and Kolmogorov-Smirnov (KS) goodness of fit statistics for stationary and non-stationary random fields. Namely, we adopt an easy-to-apply method based on a random projection of a Hilbert-valued random field onto the real line R, and then, applying the well-known AD and KS goodness of fit tests. We conclude this paper by studying the behavior o...

We evaluated and compared various broken-line regression models and SAS (SAS Inst. Inc., Cary, NC) procedures for estimating nutrient requirements from nutrient dose response data. We used the SAS (Version 9) procedures NLIN and NLMixed and the response data of Parr et al. (2003), who evaluated the isoleucine requirement of growing swine. The SAS NLIN was used to fit 2 different broken-line reg...

Map Generalization is one of the hotspot issues in GIS. It is the most imperative field for intelligence in GIS. The uncertainty and data quality of map generalization should be attached importance to in map generalization. The conventional methods of process of line generalization in map generalization are be introduced in this paper, and analysis decline in the quality of integrated because o...

Combining results presented in two papers in this Monthly yields the following elementary result. Any line of best fit for the zeros of a polynomial is a line of best fit for its critical points. This note gives a generalization of results on cubic polynomials presented in [1]. Our notation will follow that paper. A line of best fit for a set of points in the plane is defined, as in [1, p. 682]...

A. Gyarfas J. Lehel COMPUTER AND AUTOMATION INSTITUTE HUNGARIAN ACADEMY OF SCIENCES 1111 BUDAPEST KENDE UTCA 13-17