Two studies investigated the effects of prosody, context and thematic fit on off-line and on-line processing of sentences like John greeted Paul yesterday and Ben today. Such sentences are ambiguous between the so-called 'nongapping' reading, where John greeted Ben, and the highly unpreferred 'gapping' reading, where Ben greeted Paul. Participants listen to dialogues and give a speeded response...

A graph coloring algorithm that immediatly colors the vertices taken from a list without looking ahead or changing colors already assigned is called an one-line coloring algorithmm. We study in this paper on-line oriented coloring algorithms. Firstly, we investigate the First-Fit algorithm and we try to characterize the F F-optimall graphs that is the graphs for which there exists a linear orde...

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In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and variance 2 σ . Given a sample of N observations on X and Y, the method of least squares estimates β0 and β1 as well as various other quantities that describe the precision of the estimates and the goodness-of-fit of the straight line to the d...

In many areas of human practice, one needs to approximate a set of points P1, . . . , Pn ∈ R representing experimental data or observations by a simple geometric shape, such as a line, plane, circular arc, elliptic arc, and spherical surface. This problem is known as fitting amodel object line, circle, sphere, etc. to observed data points. The best fit is achieved when the geometric distances f...

Within the framework of classical linear regression model stochastic optimal design criteria are considered. As examples a line fit model and a k-way linear fit model are taken. If the optimal design does not exist, an approach consisting in choosing the efficient design is suggested.

In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and variance 2 σ . Given a sample of N observations on X and Y, the method of least squares estimates β0 and β1 as well as various other quantities that describe the precision of the estimates and the goodness-of-fit of the straight line to the d...