Year 2020, Volume 3 , Issue 4, Pages 138 - 145 2020-10-01

Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity

Cem TIRINK [1]


In this study, it was aimed to compare the performance of proposed estimators in the presence of multicollinearity that will be used in regression analysis as an alternative to Least Squares. Birth weight was estimated by using placental features such as sex, placental efficiency, total cotyledon numbers, large cotyledon weight, medium cotyledon weight, small cotyledon weight, large cotyledon number, medium cotyledon number, small cotyledon number, large cotyledon width, medium cotyledon width, small cotyledon width, large cotyledon length, medium cotyledon length, small cotyledon length, large cotyledon depth, medium cotyledon depth, small cotyledon depth for Bafra sheep breed. In the presence of multicollinearity, more reliable models can be obtained by using some estimator. The performances of the Ridge and Liu estimators, which are suggested methods for this situation, were compared. MSE, RMSE, rRMSE, MAPE, R2, and AIC were used as model comparison criteria. As a result of, in the presence of multicollinearity; Liu estimator is recommended as an alternative method to Least Squares.
Least squares, Ridge estimator, Liu estimator, Multicollinearity, Placental characteristics
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Primary Language en
Subjects Engineering
Journal Section Research Articles
Authors

Orcid: 0000-0001-6902-5837
Author: Cem TIRINK (Primary Author)
Institution: Igdir University, Faculty of Agriculture, Department of Animal Science
Country: Turkey


Dates

Publication Date : October 1, 2020

Bibtex @research article { bsengineering789200, journal = {Black Sea Journal of Engineering and Science}, issn = {}, eissn = {2619-8991}, address = {bsjsci@blackseapublishers.com}, publisher = {Uğur ŞEN}, year = {2020}, volume = {3}, pages = {138 - 145}, doi = {10.34248/bsengineering.789200}, title = {Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity}, key = {cite}, author = {Tırınk, Cem} }
APA Tırınk, C . (2020). Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity . Black Sea Journal of Engineering and Science , 3 (4) , 138-145 . DOI: 10.34248/bsengineering.789200
MLA Tırınk, C . "Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity" . Black Sea Journal of Engineering and Science 3 (2020 ): 138-145 <https://dergipark.org.tr/en/pub/bsengineering/issue/56486/789200>
Chicago Tırınk, C . "Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity". Black Sea Journal of Engineering and Science 3 (2020 ): 138-145
RIS TY - JOUR T1 - Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity AU - Cem Tırınk Y1 - 2020 PY - 2020 N1 - doi: 10.34248/bsengineering.789200 DO - 10.34248/bsengineering.789200 T2 - Black Sea Journal of Engineering and Science JF - Journal JO - JOR SP - 138 EP - 145 VL - 3 IS - 4 SN - -2619-8991 M3 - doi: 10.34248/bsengineering.789200 UR - https://doi.org/10.34248/bsengineering.789200 Y2 - 2020 ER -
EndNote %0 Black Sea Journal of Engineering and Science Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity %A Cem Tırınk %T Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity %D 2020 %J Black Sea Journal of Engineering and Science %P -2619-8991 %V 3 %N 4 %R doi: 10.34248/bsengineering.789200 %U 10.34248/bsengineering.789200
ISNAD Tırınk, Cem . "Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity". Black Sea Journal of Engineering and Science 3 / 4 (October 2020): 138-145 . https://doi.org/10.34248/bsengineering.789200
AMA Tırınk C . Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity. BSJ Eng. Sci.. 2020; 3(4): 138-145.
Vancouver Tırınk C . Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity. Black Sea Journal of Engineering and Science. 2020; 3(4): 138-145.