Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion

K. Spitzer; Marta Pelizzola; Andreas Futschik

doi:10.1214/19-AOAS1301

Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion

K. Spitzer, Marta Pelizzola, Andreas Futschik

Department of Data Analysis and Econometrics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	202-220
Number of pages	19
Journal	Annals of Applied Statistics
Volume	14
Issue number	1
DOIs	https://doi.org/10.1214/19-AOAS1301
Publication status	Published - 2020

Fields of science

101018 Statistics
106007 Biostatistics
509 Other Social Sciences

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Digital Transformation

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10.1214/19-AOAS1301

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title = "Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion",

author = "K. Spitzer and Marta Pelizzola and Andreas Futschik",

year = "2020",

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journal = "Annals of Applied Statistics",

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T1 - Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion

AU - Spitzer, K.

AU - Pelizzola, Marta

AU - Futschik, Andreas

PY - 2020

Y1 - 2020

UR - https://www.jku.at/ifas

U2 - 10.1214/19-AOAS1301

DO - 10.1214/19-AOAS1301

M3 - Article

SN - 1941-7330

VL - 14

SP - 202

EP - 220

JO - Annals of Applied Statistics

JF - Annals of Applied Statistics

IS - 1

ER -

Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion

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JKU Focus areas

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