Determination of Outliers in Growing Quail's Data with Different Sample Size

Authors : Ufuk KARADAVUT, Atilla TAŞKIN

Pages : 99-111

Doi:10.29050/harranziraat.303175

View : 39 | Download : 10

Publication Date : 2017-03-25

Article Type : Research Paper

Abstract :The aim of this study was to use as an alternative to MSS estimators M of Robust Regression estimators method is to examine the outlier in Japanese quail body weight data. During 15 weeks in the study, body weight measurements of 150 Japanese quails were recorded weekly. To determine the effect of outliers, quails were randomly divided into three groups and 10, 20 and 30 samplings were performed from each group, respectively. To conclude, it was concluded that the estimator M of outliers on the results of estimation methods can be used with success in this regard. Also, the number of samples increases that marred the outliers was identified and therefore they cannot emerge.
Keywords : M estimator, Outlier, Quail, Regression, Richards function