2021
DOI: 10.1007/s11250-020-02520-2
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Structural equation models for slaughtering weight prediction for broilers

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Cited by 4 publications
(2 citation statements)
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“…The hierarchical linear model (HLM) is an important multivariate statistical analysis method. This method not only considers variations in the data at the same level but also variations in the data between different levels; thus, it is suitable for processing nonhomogeneous data, which endows this model with significant advantages [ 37 ]. Structural equation modeling (SEM) is another research method that has been widely used recently.…”
Section: Methodsmentioning
confidence: 99%
“…The hierarchical linear model (HLM) is an important multivariate statistical analysis method. This method not only considers variations in the data at the same level but also variations in the data between different levels; thus, it is suitable for processing nonhomogeneous data, which endows this model with significant advantages [ 37 ]. Structural equation modeling (SEM) is another research method that has been widely used recently.…”
Section: Methodsmentioning
confidence: 99%
“…Senger et al (2017) established a psychological relationship between certain factors and the business performance of dairy cows. Rauber et al (2021) predicted the body weight of broilers at the time of harvest. Yu et al ( 2021) established an association between socioeconomic factors and soil erosion, and Chandra and Kumar (2021) examined the relationship between vaccine use and economic performance.…”
Section: Introductionmentioning
confidence: 99%