Evaluating of beef cattle performance and profitability using robust regression analysis
Yıl: 2019 Cilt: 23 Sayı: 3 Sayfa Aralığı: 277 - 286 Metin Dili: İngilizce DOI: 10.29050/harranziraat.504857 İndeks Tarihi: 30-12-2020
Evaluating of beef cattle performance and profitability using robust regression analysis
Öz: There are several variables affecting the beef cattle performance and profitability. In therelated literature, regression analysis is performed to find the contribution of the variables onprofitability in different managing systems. Least squares (LS) estimation method is mostlyused in regression analysis. However, it is optimal when the distribution of the error terms isnormal. In this study, we revise Koknaroglu et al. (2005) study in which regression analysis isused under normality assumption. Different from the mentioned study, we use a robustestimation method called M-estimation since the error terms do not follow a normaldistribution according to Shapiro-Wilk normality test. We obtain parameter estimates andtheir standard errors along with the coefficient of determination. It is observed that theresults obtained based on M-estimation are more reliable than their LS counterparts withrespect to 𝑅2 criterion.
Anahtar Kelime: Besi sığırı performansının ve karlılığının dayanıklı regresyon analizi ile değerlendirilmesi
Öz: Besi sığırı performansını ve karlılığını etkileyen birkaç değişken vardır. İlgili literatürde, farklı yönetim sistemlerinde karlılığı etkileyen değişkenlerin katkısını bulmak için regresyon analizi kullanılmıştır. Regresyon analizinde çoğunlukla en küçük kareler (LS) tahmin yöntemi kullanılır. Ancak, bu yöntem hata terimlerinin dağılımının normal olması durumunda optimaldir. Bu çalışmada, normallik varsayımı altında regresyon analizinin kullanıldığı Koknaroğlu ve ark. (2005) çalışması revize edilmiştir. Shapiro-Wilk normallik testine göre hata terimleri için normallik varsayımını sağlanmadığından, diğer çalışmadan farklı olarak, bu çalışmada, M-tahmini adı verilen dayanıklı/robust tahmin yöntemi kullanılmıştır. Belirleme katsayısı ile birlikte parametre tahminleri ve onların standart hataları elde edilmiştir. Sonuç olarak, 𝑅2 kriterine göre, M-tahminine dayalı olarak elde edilen sonuçların, LS tahmin edicilerinden daha güvenilir olduğu gözlenmiştir.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | Koknaroglu H, ACITAS S, SENOGLU B (2019). Evaluating of beef cattle performance and profitability using robust regression analysis. , 277 - 286. 10.29050/harranziraat.504857 |
| Chicago | Koknaroglu Hayati,ACITAS SUKRU,SENOGLU BIRDAL Evaluating of beef cattle performance and profitability using robust regression analysis. (2019): 277 - 286. 10.29050/harranziraat.504857 |
| MLA | Koknaroglu Hayati,ACITAS SUKRU,SENOGLU BIRDAL Evaluating of beef cattle performance and profitability using robust regression analysis. , 2019, ss.277 - 286. 10.29050/harranziraat.504857 |
| AMA | Koknaroglu H,ACITAS S,SENOGLU B Evaluating of beef cattle performance and profitability using robust regression analysis. . 2019; 277 - 286. 10.29050/harranziraat.504857 |
| Vancouver | Koknaroglu H,ACITAS S,SENOGLU B Evaluating of beef cattle performance and profitability using robust regression analysis. . 2019; 277 - 286. 10.29050/harranziraat.504857 |
| IEEE | Koknaroglu H,ACITAS S,SENOGLU B "Evaluating of beef cattle performance and profitability using robust regression analysis." , ss.277 - 286, 2019. 10.29050/harranziraat.504857 |
| ISNAD | Koknaroglu, Hayati vd. "Evaluating of beef cattle performance and profitability using robust regression analysis". (2019), 277-286. https://doi.org/10.29050/harranziraat.504857 |
| APA | Koknaroglu H, ACITAS S, SENOGLU B (2019). Evaluating of beef cattle performance and profitability using robust regression analysis. Harran Tarım ve Gıda Bilimleri Dergisi, 23(3), 277 - 286. 10.29050/harranziraat.504857 |
| Chicago | Koknaroglu Hayati,ACITAS SUKRU,SENOGLU BIRDAL Evaluating of beef cattle performance and profitability using robust regression analysis. Harran Tarım ve Gıda Bilimleri Dergisi 23, no.3 (2019): 277 - 286. 10.29050/harranziraat.504857 |
| MLA | Koknaroglu Hayati,ACITAS SUKRU,SENOGLU BIRDAL Evaluating of beef cattle performance and profitability using robust regression analysis. Harran Tarım ve Gıda Bilimleri Dergisi, vol.23, no.3, 2019, ss.277 - 286. 10.29050/harranziraat.504857 |
| AMA | Koknaroglu H,ACITAS S,SENOGLU B Evaluating of beef cattle performance and profitability using robust regression analysis. Harran Tarım ve Gıda Bilimleri Dergisi. 2019; 23(3): 277 - 286. 10.29050/harranziraat.504857 |
| Vancouver | Koknaroglu H,ACITAS S,SENOGLU B Evaluating of beef cattle performance and profitability using robust regression analysis. Harran Tarım ve Gıda Bilimleri Dergisi. 2019; 23(3): 277 - 286. 10.29050/harranziraat.504857 |
| IEEE | Koknaroglu H,ACITAS S,SENOGLU B "Evaluating of beef cattle performance and profitability using robust regression analysis." Harran Tarım ve Gıda Bilimleri Dergisi, 23, ss.277 - 286, 2019. 10.29050/harranziraat.504857 |
| ISNAD | Koknaroglu, Hayati vd. "Evaluating of beef cattle performance and profitability using robust regression analysis". Harran Tarım ve Gıda Bilimleri Dergisi 23/3 (2019), 277-286. https://doi.org/10.29050/harranziraat.504857 |
