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Full-Text Articles in Physical Sciences and Mathematics
Developing Prediction Equations For Carcass Lean Mass In The Prescence Of Proportional Measurement Error, Zachary J. Hass, Ziqi Zhou, Bruce A. Craig
Developing Prediction Equations For Carcass Lean Mass In The Prescence Of Proportional Measurement Error, Zachary J. Hass, Ziqi Zhou, Bruce A. Craig
Conference on Applied Statistics in Agriculture
Published prediction equations for carcass lean mass are widely used by commercial pork producers for carcass valuation. These regression equations have been derived under the assumption that the predictors, such as back fat depth, are measured without error. In practice, however, it is known that these measurements are imperfect, with a variance that is proportional to the mean. In this paper, we consider both a linear and quadratic true relationship and compare regression fits among two methods that account for this error versus simply ignoring the additional error. We show that biased estimates of the relationship result if measurement error …
02. Animal Science, University Of Central Oklahoma
02. Animal Science, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
06. Computer Science, University Of Central Oklahoma
06. Computer Science, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
04. Botany, University Of Central Oklahoma
04. Botany, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
07. Criminal Justice, University Of Central Oklahoma
07. Criminal Justice, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
09. Environmental Science, University Of Central Oklahoma
09. Environmental Science, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
11. Genetics, University Of Central Oklahoma
11. Genetics, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
12. Kinesiology, University Of Central Oklahoma
12. Kinesiology, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
08. Engineering, University Of Central Oklahoma
08. Engineering, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
10. Forensic Science, University Of Central Oklahoma
10. Forensic Science, University Of Central Oklahoma
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No abstract provided.
05. Chemistry, University Of Central Oklahoma
05. Chemistry, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
14. Optometry, University Of Central Oklahoma
14. Optometry, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
15. Pharmacy, University Of Central Oklahoma
15. Pharmacy, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
18. Statistics, University Of Central Oklahoma
18. Statistics, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
17. Psychology, University Of Central Oklahoma
17. Psychology, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
19. Zoology, University Of Central Oklahoma
19. Zoology, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
03. Biology, University Of Central Oklahoma
03. Biology, University Of Central Oklahoma
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No abstract provided.
13. Mathematics, University Of Central Oklahoma
13. Mathematics, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
16. Physics, University Of Central Oklahoma
16. Physics, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.