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Journal of Veterinary and Animal Sciences

Volume: 50 Issue: 1

  • Open Access
  • Research Article

MIXED MODEL REPEATED MEASURES ANALYSIS OF VARIANCE FOR MILK YIELD DATA

J. V.Ammu1, V. L.Gleeja2, K. A. Mercey3 and A. Prasad4

1. PG Scholar  Department of Statistics, College of Veterinary and Animal Sciences, Mannuthy, Thrissur 2. Assistant Professor 3. Professor 4. Assistant Professor and Head, Cattle breeding farm, Thumburmuzhy, email: [email protected]

Year: 2019, Page: 45-48,

Received: Feb. 26, 2018 Accepted: April 14, 2018 Published: Jan. 1, 2019

Abstract

In most of the animal experiments, observations are taken from the animals at different points of time. Such data is known as repeated measures data and analysis of such data is to be carried out using mixed models. Determination of the most appropriate covariance structure is very importantwhile using mixed models. In present days, some of the journals like Canadian Journal of Animal Science accept only those papers which are reporting mixed procedure to analyse the data sets that include repeated measurements. Hence, a study was conducted about the use of mixed models for repeated measures data. In this paper the method is illustrated with milk yield data.It is recommended that the mixed model be used for analysis of repeated measures designs in animal studies.

Keywords: Mixed model, Repeated measures, Covariance structure

References

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