Türkiyede hayvancılık sektöründe lojistik regresyon uygulamalarının önemi lojistik regresyon uygulamaları/alanları
Lojistik regresyon analizi ikili bağımlı değişkenleri modellemek için uygulanabilen en çok tercihedilen regresyon metotlarından biridir. Lojistik regresyon X1, X2, , Xn gibi bağımsızdeğişkenleri ile iki olası kategori için O veya 1 gibi kodlanmış Y ikili bağımlı değişkeniarasındaki ilişkiyi tanımlamak için kullanılan matematiksel modelleme yaklaşımıdır. Buradabağımsız değişkenler sürekli, kesikli, ikili veya bunların karışımı olabilir. Bu çalışmada lojistikregresyon modelleri araştırmaktadır. En çok olabilirlik metotları lojistik modelin parametrelerinitahmin etmek için kullanılır. Katsayıların yorumu odds oran değerleriyle yapılır. Bir başkadeyişle bu araştırmada, ikili sonuç değişkeni ile hem sürekli hem de kesikli değişkenlerdenoluşan bağımsız değişkenler kümesi arasındaki ilişkiyi tanımlayabilen lojistik regresyon analiziincelenmiştir. Kısaca, bu çalışmada lojistik regresyonun hayvancılıkta uygulanabilirliği elealınmıştır.
The importance of logistic regression implementations in the Turkish livestock sector and logistic regression implementations /fields
Logistic regression analysis is one of the mostly preferred regression methods that can beimplemented in modelling binary dependent variables. Logistic regression is a mathematicalmodelling approach used to define the relationship between such independent variables as X1,X2, , Xn and Y binary dependent variable which is coded as 0 or 1 for two possible categories.The independent variables may be continuous, discrete, binary or a combination of them. In thispaper, logistic regression models are researched. Maximum likelihood methods may be used toestimate the parameters of the logistic model. The interpretations of coefficients are made withodds rate values. In other words, in this paper, the logistic regression analysis has been reviewedthat can define the relationship between the binary result variable and independent variablescomprising of both continuous and discrete variables. Shortly, the applicability of logisticregression in the livestock has been researched.
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- ISSN: 1300-6819
- Yayın Aralığı: Yılda 4 Sayı
- Yayıncı: İbrahim TOBİ
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