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APPML
2006
131views more  APPML 2006»
13 years 4 months ago
Improvement in estimating the population mean in simple random sampling
This paper proposes some estimators for the population mean using the ratio estimators presented in [C. Kadilar, H. Cingi, Ratio estimators in simple random sampling, Applied Math...
Cem Kadilar, Hulya Cingi
AMC
2006
188views more  AMC 2006»
13 years 4 months ago
Ratio estimators for the population variance in simple and stratified random sampling
We propose some ratio-type variance estimators using ratio estimators for the population mean in literature. We obtain mean square error (MSE) equations of proposed estimators and...
Cem Kadilar, Hulya Cingi
BMCBI
2010
124views more  BMCBI 2010»
13 years 5 months ago
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model
Background: The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homo...
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya,...
BMCBI
2006
165views more  BMCBI 2006»
13 years 4 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang