The genetic analysis of repeated measures. II the Karhunen-Loève expansion

Peter C.M. Molenaar; Dorret I. Boomsma

doi:10.1007/BF01065503

The genetic analysis of repeated measures. II the Karhunen-Loève expansion

Peter C.M. Molenaar
, Dorret I. Boomsma

Human Development and Family Studies

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

5 Scopus citations

Abstract

A new approach to the genetic analysis of time series of arbitrary length and with arbitrary covariance function is outlined. This approach is based on the simultaneous eigenvalue decomposition of the covariance matrices of the original time series obtained from monozygotic (MZ) and dizygotic (DZ) twins. The method is illustrated with computer-simulated twin data.

Original language	English (US)
Pages (from-to)	229-242
Number of pages	14
Journal	Behavior Genetics
Volume	17
Issue number	3
DOIs	https://doi.org/10.1007/BF01065503
State	Published - May 1987

All Science Journal Classification (ASJC) codes

Ecology, Evolution, Behavior and Systematics
Genetics
Genetics(clinical)

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10.1007/BF01065503

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title = "The genetic analysis of repeated measures. II the Karhunen-Lo{\`e}ve expansion",

abstract = "A new approach to the genetic analysis of time series of arbitrary length and with arbitrary covariance function is outlined. This approach is based on the simultaneous eigenvalue decomposition of the covariance matrices of the original time series obtained from monozygotic (MZ) and dizygotic (DZ) twins. The method is illustrated with computer-simulated twin data.",

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N2 - A new approach to the genetic analysis of time series of arbitrary length and with arbitrary covariance function is outlined. This approach is based on the simultaneous eigenvalue decomposition of the covariance matrices of the original time series obtained from monozygotic (MZ) and dizygotic (DZ) twins. The method is illustrated with computer-simulated twin data.

AB - A new approach to the genetic analysis of time series of arbitrary length and with arbitrary covariance function is outlined. This approach is based on the simultaneous eigenvalue decomposition of the covariance matrices of the original time series obtained from monozygotic (MZ) and dizygotic (DZ) twins. The method is illustrated with computer-simulated twin data.

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JO - Behavior Genetics

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The genetic analysis of repeated measures. II the Karhunen-Loève expansion

Abstract

All Science Journal Classification (ASJC) codes

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