Data Distributions and Moments
Alternative Tools of Statistical Analysis: L-moments and TL-moments of Probability Distributions
... probability distributions and obtained sample data sets, parameter estimation of theoretical probability distributions and hypothesis testing of parameter values for theoretical probability ...
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On the moments and distribution of discrete Choquet integrals from continuous distributions
... From the previous example, it clearly appears that one strong prerequisite before being able to apply the previous theoretical results is the knowledge of the expression of the game ν in terms of n. In practical ...
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Correlations between statistical moments of soil aggregate size distributions
... size distributions are quantified by higher- order statistical parameters: skewness, flatness, superskewness, superflatness, hyperskewness and hyperflatness ...experimental data from six independent ...
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Energy Dependence Of Moments Of Net-proton Multiplicity Distributions At Rhic.
... current data provide the most relevant measurements over the widest range in μ B (20 –450 MeV) to date for the CP search, and for comparison with the baryon number susceptibilities computed from QCD to understand ...
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Frequency Analysis of Stream Flow Data Using L-moments of Probability Distributions for Estimation of Peak Flood Discharge
... carried out FFA using rainfall and peak flows for three mesoscale catchments in northern Germany. Thus, the studies reported didn’t suggest applying a particular distribution for FFA for different region or country. This ...
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L Moments and TL Moments as an Alternative Tool of Statistical Data Analysis
... probability distributions and obtained sample data sets, parameter estimation of theoretical probability distribu- tions and hypothesis testing of parameter values for theoretical probability ...
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On selection of probability distributions of annual maximum daily rainfalls using TL-moments
... Probability distributions are used to analyze data in many disciplines and are often complicated by certain characteristics such as large range, variation or ...extreme data, TL-moments are ...
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Generalised Lambda Distributions by Method of Moments and Maximum Likelihood using the JSE-ASI Returns
... Hence, they introduced the class of hyperbolic distributions which can be fitted to empirical returns with high accuracy. This was the application of GHD to the increments of financial market price processes ...
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Link of moments before and after transformations, with an application to resampling from fat-tailed distributions
... 4 The transformation-based naive bootstrap, as an application of our method The purpose of this section is to illustrate the usefulness of our expansion to solve the problem of invalidity and bad performance of the naive ...
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Simulating Burr Type VII Distributions through the Method of L-moments and L-correlations
... conventional moments are that they (a) exist for any distribution with finite mean, and their estimates are (b) nearly unbiased for any sample size and less affected from sampling variability, and (c) more robust ...
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Link of moments before and after transformations, with an application to resampling from fat-tailed distributions
... to data before ranking and building models; see Delaigle and Hall ( 2012 ) for the case of fat-tailed genomic data and Taylor ( 1986 ) whose result can be extended by our ...fat-tailed data where the ...
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Great Minds Think Alike, and Fools Seldom Differ: A Theory on the Moments of Firms' Performance Distributions.
... When data on the mean and variance of historical performance is obtained from such accounts, and examined to discover systematic relationships across firms, such relationships are found, but their character is not ...
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Comparisons of the LH Moments and the L Moments
... LH moments method with L moments method. LH moments, a generalization of L moments, based on linear combinations of higher-order statistics was introduced for charactering the upper part of ...
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First study of the negative binomial distribution applied to higher moments of net-charge and net-proton multiplicity distributions
... √ s NN = 7 . 7–200 GeV of between ≈ 2–2 . 5. The Poisson values for κσ 2 are always exactly equal to one. For the NBD baseline the values are also independent of centrality, except for the most cen- tral bin, which shows ...
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Moments of Matrix Variate Skew Elliptically Contoured Distributions
... The moments of matrix variate distributions are necessary both in theory and in applications, but often, their derivation is not straightforward and can constitute a work in and of ...two moments, ...
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Moments of Continuous Bi-Variate Distributions: An Alternative Approach
... .These moments are obtained by the use of bi-variate moment generating functions, when they ...bi-variate distributions and is shown to be easy to use even when the powers of the random variables being ...
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Perturbative Renormalisation for Low Moments of Generalised Parton Distributions with Clover Fermions
... e John von Neumann-Institut f¨ ur Computing NIC, Deutsches Elektronen-Synchrotron DESY, 15738 Zeuthen, Germany f Deutsches Elektronen-Synchrotron DESY, 22603 Hamburg, Germany We present the non-forward quark matrix ...
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Stability of a characterization of normal distributions based on the first two conditional moments
... |e z −1| ≤ |z|e |z| , (1.4) for any complex number z, is usedseveral times. 2. Stability of the characterization given by Theorem 1.1. In this section, we show that the characterization of normal distributions ...
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On the Extension of the Three Term Recurrence Relation to Probabilities Distributions without Moments
... Department of Mathematics, College of Science, Qassim University, Al-Mulida, Saudi Arabia Abstract In this paper, we extend the three-term recurrence relation for orthogonal polynomials associated with a probability ...
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Characterizations of a Class of Distributions by Dual Generalized Order Statistics and Truncated Moments
... truncated moments, (ii) truncated moment of certain functions of the n th order statistic, (iii) single truncated moment of certain functions of the random variable and (iv) moments of dual generalized ...
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