98,142 research outputs found
Joshua Davis: Author of Spare Parts
No full textCitation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University
Steven Johnson Author Talk Poster
No full textK-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book
On the left tail asymptotics for the limit law of supercritical Galton-Watson processes in the Böttcher case
No full textFleischmann K, Wachtel V. On the left tail asymptotics for the limit law of supercritical Galton-Watson processes in the B\"ottcher case. Ann. Inst. Henri Poincar\'{e} Probab. Stat. 2009;45(1):201-225
Properties of states of super--stable motion with branching of index
No full textFleischmann K, Mytnik L, Wachtel V. Properties of states of super--stable motion with branching of index . In: Probability in complex physical systems. Springer Proc. Math. Vol 11. Springer, Heidelberg; 2012: 409-421
Precise Tail Behaviour of Some Dirichlet Series
No full textIksanov A, Wachtel V. Precise Tail Behaviour of Some Dirichlet Series. Journal of Theoretical Probability . 2024;37(3):2704-2737.Let eta(1), eta(2),& mldr; be independent copies of a random variable eta with zero mean and finite variance which is bounded from the right, that is, eta 0. Considering different types of the asymptotic behaviour of the probability P {eta is an element of [b - x,b]} as x -> 0+, we derive precise tail asymptotics of the random Dirichlet series & sum;(k >= 1 )k(-alpha)eta(k) for alpha is an element of (1/2,1]
Gender differences in left ventricular structure and function during hypertensive treatment (The LIFE Study).
No full textGender Differences in Left Ventricular Structure and Function During Antihypertensive Treatment: the Losartan Intervention for Endpoint Reduction in Hypertension Study.
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Other Side of the Trade Imbalance: What Will Japan Do?
No full textWith the mounting U.S. trade deficit, much attention has centered on the role of U.S. macroeconomic policy and economic structure as contributing factors. This paper contends that the economic structure and policies of Japan have also done much to contribute to the trade imbalance. Institutional features of Japan's macroeconomy and industrial structure which have promoted her large trade surplus are discussed and industrial policies evaluated. Given the nature and magnitude of the role played by Japan in causing the bilateral trade imbalance, the next question the paper addresses is how Japan might best act to alleviate this imbalance. This section of the paper examines fiscal, monetary and other policy initiatives Japan might take to reduce the trade imbalance. The evidence stresses the desirability of expanding Japan's services industries, particularly leisure-related services.
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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