منابع مشابه
Cartogram Visualization for Bivariate Geo-Statistical Data
We describe bivariate cartograms, a technique specifically designed to allow for the simultaneous comparison of two geo-statistical variables. Traditional cartograms are designed to show only a single statistical variable, but in practice, it is often useful to show two variables (e.g., the total sales for two competing companies) simultaneously. We illustrate bivariate cartograms using Dorling...
متن کاملA statistical test for outlier identification in data envelopment analysis
In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...
متن کاملTest of symmetry for semiparametric bivariate copula
The copula function is a multivariate distribution whose marginal distributions are uniformly distributed on the interval [0,1], this function called copula that ties the joint and the margins together. One important class of copula models is that of semiparametric copula models. In this paper, a semiparametric copula and its properties are introduced also a test of symmetry for semiparametric ...
متن کاملA multivariate uniformity test for the case of unknown support
A test for the hypothesis of uniformity on a support S ⊂ R is proposed. It is based on the use of multivariate spacings as those studied in Janson (1987). As a novel aspect, this test can be adapted to the case that the support S is unknown, provided that it fulfils the shape condition of λ-convexity. The consistency properties of this test are analyzed and its performance is checked through a ...
متن کاملA Competitive Test for Uniformity of Monotone Distributions
We propose a test that takes random samples drawn from a monotone distribution and decides whether or not the distribution is uniform. The test is nearly optimal in that it uses at most O(n √ log n) samples, where n is the number of samples that a genie who knew all but one bit about the underlying distribution would need for the same task. Conversely, we show that any such test would require Ω...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Statistics
سال: 2014
ISSN: 2356-6892,2314-8314
DOI: 10.1155/2014/740831