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Robust and diagnostic regression analyses
Communications in Statistics - Theory and Methods, 1982Graphical methods of diagnostic regression analysis are applied to three examples in which least squares and robust regression analyses give substantially different results. The diagnostic tools lead to the identification of data deficiencies and model inadequacies.
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Significance testings in regression analyses
2015Ordinary least squares is one of the most popular approaches for fitting regression models in the social sciences. However, it has been well documented that ordinary least squares is very sensitive to minor deviations from assumptions (e.g., Andrews ...
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Regression Analyses or Decision Trees?
2019Karar ağaçları algoritması, veri madenciliği teknikleri içinde önemli bir sınıflandırma yöntemidir. Karar ağacı, kök düğümü, dalları ve yaprak düğümleri olan ağaç yapısında sınıflandırma ve regresyon modelleri oluşturur. Bağımlı değişken iki kategorili olduğunda regresyon analizine alternatif bir yöntem olarak tercih edilen lojistik regresyon analizi ...
KOCARIK GACAR, Burcu +1 more
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Analyses of Two Different Regression Models and Bootstrapping
2012Regression methods are used to explain the relationship between a single response variable and one or more explanatory variables. Graphical methods are generally the first step and are used to identify models that can be explored to describe the relationship.
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