On Inference of Partially Correlated Data

Hani M. Samawi; Robert L. Vogel

doi:10.15406/bbij.2014.2.00019

On Inference of Partially Correlated Data

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University

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

Abstract

This editorial was published in Biometrics and Biostatistics International Journal.

Original language	American English
Journal	Biometrics and Biostatistics International Journal
Volume	2
DOIs	https://doi.org/10.15406/bbij.2014.2.00019
State	Published - Jan 26 2015

Disciplines

Biostatistics
Community Health
Public Health

Keywords

Inference
Partially correlated data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.15406/bbij.2014.2.00019License: CC BY

https://doi.org/10.15406/bbij.2014.2.00019

Cite this

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title = "On Inference of Partially Correlated Data",

abstract = " This editorial was published in Biometrics and Biostatistics International Journal. ",

keywords = "Inference, Partially correlated data",

author = "Samawi, \{Hani M.\} and Vogel, \{Robert L.\}",

year = "2015",

month = jan,

day = "26",

doi = "10.15406/bbij.2014.2.00019",

language = "American English",

volume = "2",

journal = "Biometrics and Biostatistics International Journal",

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T1 - On Inference of Partially Correlated Data

AU - Samawi, Hani M.

AU - Vogel, Robert L.

PY - 2015/1/26

Y1 - 2015/1/26

N2 - This editorial was published in Biometrics and Biostatistics International Journal.

AB - This editorial was published in Biometrics and Biostatistics International Journal.

KW - Inference

KW - Partially correlated data

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpubs/137

UR - https://doi.org/10.15406/bbij.2014.2.00019

U2 - 10.15406/bbij.2014.2.00019

DO - 10.15406/bbij.2014.2.00019

M3 - Article

VL - 2

JO - Biometrics and Biostatistics International Journal

JF - Biometrics and Biostatistics International Journal

ER -

On Inference of Partially Correlated Data

Abstract

Disciplines

Keywords

UN SDGs

Access to Document

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