Confidence intervals for estimating the population signal-to-noise ratio: a simulation study

Confidence intervals for estimating the population signal-to-noise ratio: a simulation study Article

George, Florence, Kibria, BM Golam. (2012). Confidence intervals for estimating the population signal-to-noise ratio: a simulation study . JOURNAL OF APPLIED STATISTICS, 39(6), 1225-1240. 10.1080/02664763.2011.644527

cited authors

George, Florence; Kibria, BM Golam

sustainable development goals

SDG 03: Good Health and Well-being

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publication date

January 1, 2012

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https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000304484400005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=e451fd656366bf1ec5554941920a9ccb

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JOURNAL OF APPLIED STATISTICS Journal

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COEFFICIENT
Mathematics
Physical Sciences
Science & Technology
Statistics & Probability
average width
confidence interval
coverage probability
signal-to-noise ratio
simulation study
skewed distributions

FIU Discovery

Confidence intervals for estimating the population signal-to-noise ratio: a simulation study Article

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sustainable development goals

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