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Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models

Year 2018, Volume: 1 Issue: 2, 47 - 50, 22.12.2018

Abstract

In the study, the data obtained to describe the body characteristics of the Hairpin were utilized in the businesses that were registered with Karaman Province Breeding Sheep Goat Breeders Association. Body weights of 130 goats, 2, 3, 4, 5, 6 and 7 years old and 50 goats, 2, 3 and 4 years old, selected by simple random sampling method were used in the data of total 900. In the study, Pearson correlation coefficient for variables providing parametric test prerequisites, and Spearman correlation analysis for variables not providing parametric test prerequisites. In the regression analysis, "live weight" dependent variable and other variables were determined as independent variables and parametric and nonparametric regression methods were applied. Univariate and multivariable regression models were applied for the whole data set. When all analyzes are evaluated, univariate regression models give lower determination coefficients (R2) than multivariate models. In this case, it has been deemed appropriate to use a multivariate regression model instead of a univariate model in order to make a correct prediction.However, in practice, univariate Quadratic or Cubic regression methods can be used for researchers. 

References

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  • Lee, T.C.M., Solo, V., 1999. Bandwith selection for local linear regression: a simulation study. Comput. Statist., 14, 515-532.
  • Härdle, W., Muller, M., Sperlıch, S., Werwatz, A., 2004. Nonparametric and semiparametric models. Springer, New York.
  • Farebrother, R.W., 1976. Further results on the mean square error of ridge regression. J.R Stat .Soc. B, 38:248-250.
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  • Robınson, M.P., 1988. Root-N-Consistent semiparametric regression Econometrica, 56(4): 931-954.
  • Tabakan, G., Akdenız, F., 2008. Difference based ridge estimator of parameters in partial linear model. Statistical Papers, DOI: 10.1007/s00362- 008-0192-6 (SCI Expanded).
  • Ünalan, A., Ceyhan A., 2017. Kilis Keçilerinin Canlı Ağırlık ve Bazı Vücut Ölçüleri Üzerinde Cinsiyet Etkisinin Belirlenmesi, Harran Tarım ve Gıda Bilimleri Dergisi, 21(2): 219-226.
Year 2018, Volume: 1 Issue: 2, 47 - 50, 22.12.2018

Abstract

References

  • Ruppert, D., Wand, M.P., Carroll, R.J., 2003. Semiparametric regression. Cambridge University Press.
  • Lee, T.C.M., Solo, V., 1999. Bandwith selection for local linear regression: a simulation study. Comput. Statist., 14, 515-532.
  • Härdle, W., Muller, M., Sperlıch, S., Werwatz, A., 2004. Nonparametric and semiparametric models. Springer, New York.
  • Farebrother, R.W., 1976. Further results on the mean square error of ridge regression. J.R Stat .Soc. B, 38:248-250.
  • Rao, C.R., Toutenburg, H., 1995. Linear models: least squares and alternatives. Springer Verlag, New York.
  • Robınson, M.P., 1988. Root-N-Consistent semiparametric regression Econometrica, 56(4): 931-954.
  • Tabakan, G., Akdenız, F., 2008. Difference based ridge estimator of parameters in partial linear model. Statistical Papers, DOI: 10.1007/s00362- 008-0192-6 (SCI Expanded).
  • Ünalan, A., Ceyhan A., 2017. Kilis Keçilerinin Canlı Ağırlık ve Bazı Vücut Ölçüleri Üzerinde Cinsiyet Etkisinin Belirlenmesi, Harran Tarım ve Gıda Bilimleri Dergisi, 21(2): 219-226.
There are 8 citations in total.

Details

Primary Language English
Subjects Veterinary Surgery
Journal Section Articles
Authors

Yasin Demıraslan

İftar Gurbuz This is me

Omer Gurkan Dılek This is me

Sukru Ozudogru This is me

Ozcan Ozgel This is me

Publication Date December 22, 2018
Published in Issue Year 2018 Volume: 1 Issue: 2

Cite

APA Demıraslan, Y., Gurbuz, İ., Dılek, O. G., Ozudogru, S., et al. (2018). Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models. International Journal of Veterinary and Animal Research, 1(2), 47-50.
AMA Demıraslan Y, Gurbuz İ, Dılek OG, Ozudogru S, Ozgel O. Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models. IJVAR. December 2018;1(2):47-50.
Chicago Demıraslan, Yasin, İftar Gurbuz, Omer Gurkan Dılek, Sukru Ozudogru, and Ozcan Ozgel. “Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models”. International Journal of Veterinary and Animal Research 1, no. 2 (December 2018): 47-50.
EndNote Demıraslan Y, Gurbuz İ, Dılek OG, Ozudogru S, Ozgel O (December 1, 2018) Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models. International Journal of Veterinary and Animal Research 1 2 47–50.
IEEE Y. Demıraslan, İ. Gurbuz, O. G. Dılek, S. Ozudogru, and O. Ozgel, “Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models”, IJVAR, vol. 1, no. 2, pp. 47–50, 2018.
ISNAD Demıraslan, Yasin et al. “Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models”. International Journal of Veterinary and Animal Research 1/2 (December 2018), 47-50.
JAMA Demıraslan Y, Gurbuz İ, Dılek OG, Ozudogru S, Ozgel O. Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models. IJVAR. 2018;1:47–50.
MLA Demıraslan, Yasin et al. “Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models”. International Journal of Veterinary and Animal Research, vol. 1, no. 2, 2018, pp. 47-50.
Vancouver Demıraslan Y, Gurbuz İ, Dılek OG, Ozudogru S, Ozgel O. Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models. IJVAR. 2018;1(2):47-50.