Results 21 to 30 of about 270,694 (310)
Expected values and standard deviations of order statistics from a logistic distribution are given for sample sizes $n = 1,2, \cdots, 10$ and $n = 15, 20, 50$, and 100, and summarized in graphs to facilitate interpolation to other sample sizes. For $n \leqq 10$ the results are compared with asymptotic approximations.
Birnbaum, Allan, Dudman, Jack
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Order Statistics and Benford′s Law [PDF]
Fix a baseB> 1 and letζhave the standard exponential distribution; the distribution of digits ofζbaseBis known to be very close to Benford′s law. If there exists aCsuch that the distribution of digits ofCtimes the elements of some set is the same as that ofζ, we say that set exhibits shifted exponential behavior baseB.LetX1, …,XNbe i.i.d.r.v.
Steven J. Miller, Mark J. Nigrini
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On a Characterization of a Power Distribution
A measure of dependence called pseudo-covariance and related to covariance was proposed by Pawlas and Szynal [4]. It was used, among other things, in a characterization of a power distribution. Here we generalized that result.
Pawlas Piotr, Szynal Dominik
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The Weibull Marshall–Olkin Lindley distribution: properties and estimation
We obtain some properties of the Weibull Marshall–Olkin Lindley distribution. Its hazard rate function can be increasing, decreasing, bathtub-shaped, decreasing-increasing-decreasing and unimodal.
Ahmed Z. Afify +3 more
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Some Limit Behavior of Order Statistics With Variable Ranks [PDF]
In the present investigation we prove that any sequence of order statistics, with nondecreasing variable rank sequence, is mixing in the sense of Renyi.
M.A. El-Shandidy, H.M Barakat
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混合指数分布顺序统计量的性质(On properties of order statistics from the mixed exponential distribution)
Let {Xs, 1≤s≤n} be independent and identically distributed, and X1:n, X2:n, …, Xn:n be the corresponding order statistics.
KUANGNeng-hui(匡能晖)
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A User-Friendly Algorithm for Detecting the Influence of Background Risks on a Model
Background, or systematic, risks are integral parts of many systems and models in insurance and finance. These risks can, for example, be economic in nature, or they can carry more technical connotations, such as errors or intrusions, which could be ...
Nadezhda Gribkova, Ričardas Zitikis
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Independence of Order Statistics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Falk, M., Reiss, R.-D.
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THORS: An Efficient Approach for Making Classifiers Cost-Sensitive
In this paper, we propose an effective THresholding method based on the Order Statistic, called THORS, to convert an arbitrary scoring-type classifier, which can induce a continuous cumulative distribution function of the score, into a cost-sensitive one.
Ye Tian, Weiping Zhang
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A New Family of Truncated Nadarajah-Haghighi-G Properties with Real Data Applications
In this paper, the [0,1] truncated Nadarajah Haghighi- G family is introduced, and some of its statistical properties such as expansion of its PDF are derived. In addition, quantile function, survival function, hazard rate function, reversed hazard rate
Khalaf H. Al-Habib +2 more
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