TY  - JOUR
T1  - Regresyon Analizinde Kullanılan Yanlı Tahmin Edicilerin Etkinliklerinin Karşılaştırılması
TT  - A Study on the Use of Jackknife Method in Biased Estimates
AU  - Yıldız, Nilgün
PY  - 2019
DA  - August
DO  - 10.18185/erzifbed.500442
JF  - Erzincan University Journal of Science and Technology
PB  - Erzincan Binali Yıldırım Üniversitesi
WT  - DergiPark
SN  - 2149-4584
SP  - 886
EP  - 892
VL  - 12
IS  - 2
LA  - tr
AB  - Regresyon analizinde,katsayıları tahmin etmek için en yaygın olarak kullanılan yöntem, En küçükkareler (EKK) yöntemidir. Bu yönteminin kullanılabilmesi için değişkenlerarasında ilişki olmaması gerekir. Açıklayıcı değişkenlerin birbirleriyleilişkili olduğu durumlarda EKK tahmin yönteminin kullanılması yanlış modelbulgularına ve kullanımına neden olur. Bu tür birbiriyle bağımlılık gösterenbağımsız değişkenlerle analiz yapmak için farklı yanlı tahmin edicilergeliştirilmiştir. Literatürde, yaygın olarak kullanılan yanlı tahmin ediciler,gerek gerçek veri gerekse Monte Carlo simülasyonu yapılarak kendi aralarındakarşılaştırılmıştır.
KW  - EKK
KW  - Çoklu iç ilişki
KW  - Ortalama karesel hata
KW  - Liu-tipi tahmin edici
N2  - In the regression analysis, the most widely used method for estimatingthe coefficients of the ordinary least squares (OLS) method. For this method tobe used, there should be no relationship between variables. In cases whereexplanatory variables are related to each other, the use of OLS estimationmethod will lead to incorrect model findings and usage. Different-sided estimatorswere developed to analyze with such interdependent independent variables. Inthe literature, commonly used biased estimators are compared among themselvesby performing real data and Monte Carlo simulation.
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UR  - https://doi.org/10.18185/erzifbed.500442
L1  - https://dergipark.org.tr/tr/download/article-file/797546
ER  -