Results 1 to 10 of about 159 (149)

Signatures of the Anthropocene: Population Genomic Structure Detected in Pennsylvania Coyotes. [PDF]

open access: yesEcol Evol
Coyotes rapidly expanded across eastern North America and are highly dispersive ecological generalists, leading prior studies to report little spatial genetic structure. Using genome‐wide data from 1199 coyotes sampled over a decade in the northeastern United States, we detected subtle but significant population structure, with two weakly clinal ...
Marshall CA   +15 more
europepmc   +2 more sources

Chebyshev–Edgeworth-Type Approximations for Statistics Based on Samples with Random Sizes

open access: yesMathematics, 2021
Second-order Chebyshev–Edgeworth expansions are derived for various statistics from samples with random sample sizes, where the asymptotic laws are scale mixtures of the standard normal or chi-square distributions with scale mixing gamma or inverse ...
Gerd Christoph, Vladimir V. Ulyanov
doaj   +1 more source

Analysis of quasi-lattice distributions of statistics from finite population

open access: yesLietuvos Matematikos Rinkinys, 2004
Edgeworth expansions are used for approximation of quantiles, estimation of parameters, construction of confidence intervals and testing hypothesis. Paper shows how to construct  ` `  long'' Edgewort asymptotic expansions.
Jurgita Turkuvienė, Algimantas Bikelis
doaj   +3 more sources

Second Order Chebyshev–Edgeworth-Type Approximations for Statistics Based on Random Size Samples

open access: yesMathematics, 2023
This article completes our studies on the formal construction of asymptotic approximations for statistics based on a random number of observations.
Gerd Christoph, Vladimir V. Ulyanov
doaj   +1 more source

Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing

open access: yesMathematics, 2022
This paper analytically derives a stability test for the probability distribution of a random variable that follows the Edgeworth–Sargan density, also called Gram–Charlier.
Ignacio Mauleón
doaj   +1 more source

Edgeworth expansions for network moments

open access: yesThe Annals of Statistics, 2022
Network method of moments arXiv:1202.5101 is an important tool for nonparametric network inference. However, there has been little investigation on accurate descriptions of the sampling distributions of network moment statistics. In this paper, we present the first higher-order accurate approximation to the sampling CDF of a studentized network moment ...
Yuan Zhang, Dong Xia
openaire   +4 more sources

Second Order Expansions for High-Dimension Low-Sample-Size Data Statistics in Random Setting

open access: yesMathematics, 2020
We consider high-dimension low-sample-size data taken from the standard multivariate normal distribution under assumption that dimension is a random variable.
Gerd Christoph, Vladimir V. Ulyanov
doaj   +1 more source

Asymptotic expansions for distribution of sums quasi-lattice random variables

open access: yesLietuvos Matematikos Rinkinys, 2011
Althoug Chebyshev [3] and Edeworth [5] had conceived of the formal expansions for distribution of sums of independent random variables, but only in Cramer’s work [4] was laid a proper foundation of this problem.
Algimantas Bikelis   +2 more
doaj   +1 more source

On the Validity of the Formal Edgeworth Expansion

open access: yesThe Annals of Statistics, 1978
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bhattacharya, R. N., Ghosh, J. K.
openaire   +2 more sources

Rearranging Edgeworth-Cornish-Fisher expansions [PDF]

open access: yesEconomic Theory, 2009
17 pages, 3 ...
Chernozhukov, Victor   +2 more
openaire   +6 more sources

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