Shrinkage Estimation and Bootstrap Confidence Interval for Scale Parameter of Laplace Distribution
Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, cilt.23, sa.3, ss.933-940, 2023 (TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 23 Sayı: 3
- Basım Tarihi: 2023
- Doi Numarası: 10.35414/akufemubid.1231989
- Dergi Adı: Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi
- Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.933-940
- Gazi Üniversitesi Adresli: Evet
Özet
In this study, a biased estimator is proposed for the scale parameter of Laplace distribution. First, it is
theoretically shown that the mean square error of the biased estimator is smaller than that of the
maximum likelihood estimator. Then the maximum likelihood estimator is compared with the obtained
biased estimator by means of a simulation study using the relative efficiency of these estimators. In
addition, confidence intervals are constructed for the scale parameter of Laplace distribution with
bootstrap method in order to compare them with each other in a different way.