On intraclass structure estimation in the growth curve model

Veronika Kopčová; Ivan Žežula

doi:10.1007/s00362-017-0973-x

On intraclass structure estimation in the growth curve model

Veronika Kopčová^*, Ivan Žežula

^*Corresponding author voor dit werk

Onderzoeksoutput › Academic › peer review

2 Citaten (Scopus)

Samenvatting

In this paper the growth curve model, with the data correlated according to uniform structure, is considered. It represents a useful statistical model for a variety of areas. Our aim is to present various estimators of unknown variance parameters and compare their statistical properties. In the first part the review of known results for different estimators of ρ and σ² and their properties is given. The aim is to compare and order these estimators based on biasedness and mean square error.

Originele taal-2	English
Pagina's (van-tot)	1085–1106
Aantal pagina's	22
Tijdschrift	Statistical Papers
Volume	61
Nummer van het tijdschrift	3
DOI's	https://doi.org/10.1007/s00362-017-0973-x
Status	Published - 1-jun.-2020
Extern gepubliceerd	Ja

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abstract = "In this paper the growth curve model, with the data correlated according to uniform structure, is considered. It represents a useful statistical model for a variety of areas. Our aim is to present various estimators of unknown variance parameters and compare their statistical properties. In the first part the review of known results for different estimators of ρ and σ2 and their properties is given. The aim is to compare and order these estimators based on biasedness and mean square error.",

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AU - Žežula, Ivan

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AB - In this paper the growth curve model, with the data correlated according to uniform structure, is considered. It represents a useful statistical model for a variety of areas. Our aim is to present various estimators of unknown variance parameters and compare their statistical properties. In the first part the review of known results for different estimators of ρ and σ2 and their properties is given. The aim is to compare and order these estimators based on biasedness and mean square error.

KW - Covariance components

KW - GMANOVA

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KW - Intraclass correlation structure

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On intraclass structure estimation in the growth curve model

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