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Abstract  

We consider an empirical process based upon ratios of selected pairs of spacings, generated by independent samples of arbitrary sizes. As a main result, we show that when both samples are uniformly distributed on (possibly shifted) intervals of equal lengths, this empirical process converges to a mean-centered Brownian bridge of the form B C(u) = B(u)−6Cu(1−u) Σ0 1 B(s)ds, where B(·) denotes a Brownian bridge, and C, a constant. The investigation of the class of Gaussian processes {B C(·): C ∈ ℝ} leads to some unexpected distributional identities such as B 2(·)

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B(·). We discuss this and similar results in an extended framework.

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Abstract

With the rapid development of the Internet, there is a need for evaluating the public visibility of universities on the Internet (i.e., web visibility) in terms of its implications for university management, planning, and governance. The data were collected in December 2010 by using Yahoo, one of the most widely used search engines. Specifically, we gathered “Single Mention” data to measure the number of times that each university was mentioned on websites. In addition, we collected network-based data on Single Mentions. We obtained another data set based on the 2010 world university rankings by Shanghai Jiao Tong University (SJTU). We employed several analytical methods for the analysis, including correlations, nonparametric tests (e.g., the Mann–Whitney test), and multidimensional scaling (MDS). The significant positive correlation between university rankings and web visibility suggests that indicators of web visibility can function as a proxy measure of conventional university rankings. Another distinctive implication can be drawn from the pattern of a disparity in web visibility stemming from the linguistic divide, that is, universities in English-speaking countries dominated the central positions in various network structures of web visibility, whereas those in non-English-speaking countries were located in the periphery of these structures. In this regard, further research linking web visibility to university management, planning, and governance is needed.

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369 375 Anderson, P. K. and B. B. Rann. 1995. A nonparametric test for comparing two samples where all observations are either right of left censored. Biometrics 51: 323

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] Mann B. H. Nonparametric tests against trend , Econometrica , Vol. 13 , No. 3 , 1945 , pp. 245 – 259 . [15] Kendall

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. [20] Mann H. B. Nonparametric tests against trend , Econometrica , Vol. 13 , No. 3 , 1945 , pp. 4 – 259 . [21

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-015-1561-4 Mann , H.B. 1945 : Nonparametric tests against trend . – Econometrica , 13 , pp.  245 – 259 . 10.2307/1907187 Mapurisa , B

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not obey normal distributions (as is clear from the distributions in Fig. 2 ), which means the conventional t -test is not applicable. Brockett and Golany ( 1996 ) suggested using a Mann–Whitney nonparametric test for this reason. By applying this

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Postpartum female sexual dysfunctions in Hungary: A cross-sectional study

Oral presentation at the 13th Conference of the Hungarian Medical Association of America – Hungary Chapter (HMAA-HC) at 30–31 August 2019, in Balatonfüred, Hungary

Developments in Health Sciences
Authors: K. SzÖllŐsi and L. Szabó

percentage. Nonparametric tests were used to assess the association between infant feeding method and FSFI scores, as well as between urinary incontinence and FSFI scores. The research was permitted by Semmelweis University's Regional Research Ethics

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parametric tests, Kruskal–Wallis test which is a nonparametric test is opted. It does not assume an underlying distribution for the test variables. Because, distribution of values of socio-cognitive properties of scientists does not necessarily follow a

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. women), we performed nonparametric tests (Mann–Whitney- U tests, two-tailed) given that most variables were not normally distributed. Prevalence rates were calculated based on available cutoff scores for each questionnaire. Categorical variables

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