Antitrust Prohibitions as a General Limit to the Exercise of Exclusive Trademark Rights

2020 ◽  
pp. 8-16
Author(s):  
A. B. Kashevarov ◽  
Ya. V. Sklyarova
Keyword(s):  
General Limit

Measuring Attentional Demand in Continuous Dual-task Performance

1997 ◽  
Vol 50 (4) ◽  
pp. 821-840 ◽  
Author(s):  
Patrick A. Bourke
Keyword(s):  
Task Performance ◽  
Dual Task ◽  
Alternative Possibility ◽  
Interval Scale ◽  
Attentional Demand ◽  
Attentional Demands ◽  
Intuitive Appeal ◽  
Dual Task Performance ◽  
General Limit ◽  
Dual Task Interference

Despite its intuitive appeal, the commonly held assumption that there is some general limitation on dual-task performance has been shown to be seriously flawed (Allport 1980; Navon 1984). Central to this has been the inability to measure the attentional demands of tasks, without which there is no way to determine whether their joint demands exceed the hypothetical general limit. In the absence of such a measure, dual-task interference can always be explained by the alternative possibility that specific interference has occurred. A method is described in which the attentional demands of tasks can be measured and cross validated by the use of two scales. Two experiments are described in which a general attentional limit is found; the measurement of attentional demand is consistent across scales and can be made at a level of precision approximating that of an interval scale.

scholarly journals The n-Point Condition and Rough CAT(0)

2013 ◽  
Vol 1 ◽  
pp. 58-68 ◽  
Author(s):  
Stephen M. Buckley ◽  
Bruce Hanson
Keyword(s):  
Length Space ◽  
General Limit ◽  
Point Condition ◽  
Hausdorff Limits

Abstract We show that for n ≥ 5, a length space (X; d) satisfies a rough n-point condition if and only if it is rough CAT(0). As a consequence, we show that the class of rough CAT(0) spaces is closed under reasonably general limit processes such as pointed and unpointed Gromov-Hausdorff limits and ultralimits.

On the maximum of sums of random variables and the supremum functional for stable processes

1969 ◽  
Vol 6 (2) ◽  
pp. 419-429 ◽  
Author(s):  
C.C. Heyde
Keyword(s):  
Limit Theorem ◽  
Stable Distribution ◽  
Random Variables ◽  
Domain Of Attraction ◽  
Stable Processes ◽  
Stable Law ◽  
Sums Of Random Variables ◽  
Symmetric Stable Distribution ◽  
General Limit ◽  
General Limit Theorem

Let Xi, i = 1, 2, 3, … be a sequence of independent and identically distributed random variables which belong to the domain of attraction of a stable law of index a. Write S0= 0, Sn = Σ i=1nXi, n ≧ 1, and Mn = max0 ≦ k ≦ nSk. In the case where the Xi are such that Σ1∞n−1Pr(Sn > 0) < ∞, we have limn→∞Mn = M which is finite with probability one, while in the case where Σ1∞n−1Pr(Sn < 0) < ∞, a limit theorem for Mn has been obtained by Heyde [9]. The techniques used in [9], however, break down in the case Σ1∞n−1Pr(Sn < 0) < ∞, Σ1∞n−1Pr(Sn > 0) < ∞ (the case of oscillation of the random walk generated by the Sn) and the only results available deal with the case α = 2 (Erdos and Kac [5]) and the case where the Xi themselves have a symmetric stable distribution (Darling [4]). In this paper we obtain a general limit theorem for Mn in the case of oscillation.

Single-clause when-defining models in English monolingual pedagogical dictionaries

2020 ◽  
Author(s):  
Bartosz Ptasznik
Keyword(s):  
Identification Accuracy ◽  
Personal Pronoun ◽  
Linear Mixed Effects ◽  
Modelling Analysis ◽  
Abstract Nouns ◽  
General Limit ◽  
Class Information ◽  
Indefinite Pronoun ◽  
Level Of Significance ◽  
English Monolingual

Abstract The paper is concerned with the single-clause when-definition, which is a common folk-defining style that has been established by lexicographers in English monolingual learners’ dictionaries (the Big Five), especially the Longman Dictionary of Contemporary English and Cambridge Advanced Learner’s Dictionary. In brief, the single-clause when-definition format can be applied to explain the meaning of abstract nouns and it closely resembles the double-clause (full-sentence) definition, which can also begin with a subordinating conjunction such as when or if. However, the when-definition does not include the word which is being defined (definiendum) and it is formed out of a single, subordinate clause. This definition-type has received metalexicographers’ attention as it appears to, in general, limit the effectiveness of correct extraction of word class information from abstract noun entries in contrast to the traditional defining model – the analytical definition. In this paper, an attempt is made to investigate two types of single-clause when-defining models: (1) when + personal pronoun; and (2) when + indefinite pronoun (someone/something).1 The collected evidence from the Linear Mixed-effects Modelling analysis indicates that the effect of when-definition type on syntactic class identification accuracy is statistically significant at the 8% level of significance, with the when + personal pronoun defining style being the superior defining model.

scholarly journals The Coupon Collector's Problem Revisited: Asymptotics of the Variance

2012 ◽  
Vol 44 (1) ◽  
pp. 166-195 ◽  
Author(s):  
Aristides V. Doumas ◽  
Vassilis G. Papanicolaou
Keyword(s):  
Large Class ◽  
Limit Distribution ◽  
Limit Theorems ◽  
Gumbel Distribution ◽  
Coupon Collector’S Problem ◽  
Second Moments ◽  
General Limit ◽  
Coupon Collector's Problem

We develop techniques for computing the asymptotics of the first and second moments of the number TN of coupons that a collector has to buy in order to find all N existing different coupons as N → ∞. The probabilities (occurring frequencies) of the coupons can be quite arbitrary. From these asymptotics we obtain the leading behavior of the variance V[TN] of TN (see Theorems 3.1 and 4.4). Then, we combine our results with the general limit theorems of Neal in order to derive the limit distribution of TN (appropriately normalized), which, for a large class of probabilities, turns out to be the standard Gumbel distribution. We also give various illustrative examples.

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