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. Intonationsforschungen 1988 Schwarzschild, Roger 1999. GIVENness, AvoidF and other constraints on the placement of focus. In: Natural
Schwarzschild, Roger 1999. GIVENness, AvoidF and other constraints on the placement of focus. In: Natural Language Semantics 7:141–177. Schwarzschild R. GIVENness, AvoidF and other constraints
1266 Eberhart LH, Döring HJ, Holzrichter P, Roscher R, Seeling W: Therapeutic suggestions given during neurolept-naesthesia decrease postoperative nausea and vomiting. Eur J
1 Introduction The determination of credit risk losses is influenced not only by the probability of default (PD) but also by the extent of loss given default (LGD). While there are several advanced solutions for PD modeling of mortgages in Hungary
structure. Manuscript. University of Potsdam. Féry, Caroline — Frank Kügler to appear. Pitch accent scaling on given, new and focused constituents in German. In: Journal of Phonetics. Frey
increasing pressure for publication among academics has given rise to a debate whether the gap between the more important scholarly journals and the less important ones is widening. For example, a point of discussion may be whether or not it is true that
that training given to intensive care nurses in VAP increased the level of knowledge and harmony in nurses, and thus reduced the VAP rate. Moreover, it has been reported that there is a great need for multicentered studies on this subject, and that an
Abstract
The purpose of the paper is to present some kind of characterization for coarsest or finest elements in a subcategory of MER that induce an element of another given subcategory.
Consider a two-dimensional discrete random variable (X, Y) with possible values 1, 2, . . . , I for X and 1, 2, . . . , J for Y. For specifying the distribution of (X, Y), suppose both conditional distributions of X given Y and Y given X are specified. In this paper, we address the problem of determining whether a given set of constraints involving marginal and conditional probabilities and expectations of functions are compatible or most nearly compatible. To this end, we incorporate all those information with the Kullback-Leibler (K-L) divergence and power divergence statistics to obtain the most nearly compatible probability distribution when the two conditionals are not compatible, under the discrete set up. Finally, a comparative study is carried out between the K-L divergence and power divergence statistics for some illustrative examples.
Summary We discuss the question, under which conditions Proinov’s upper bound for the quadrature error of functions having a given modulus of continuity is not improvable. Improvability usually holds if the quadrature formula is not a Riemannian sum. We derive a condition on the second Peano kernel yielding always the sharpness of Proinov’s result. This condition is applicable to Gaussian quadrature.