Ratio Estimators using Robust Regression

Yıl 2007, Cilt: 36 Sayı: 2, 181 - 188, 01.02.2007

C. Kadılar M. C - - H. Çıngı

Anahtar Kelimeler

-

Kaynakça

• Birkes, D. and Dodge, Y. Alternative Methods of Regression (John Wiley & Sons, 1993).
• Candan, M. Robust Estimators in Linear Regression Analysis (Hacettepe University, De- partment of Statistics, Master Thesis (in Turkish), 1995).
• Cochran, W. G. Sampling Techniques (John Wiley and Sons, New-York, 1977).
• Chambers R. L. Outlier robust finite population estimation, Journal of the American Sta- tistical Association 81, 1063–1069, 1986.
• Chatterjee, S. and Price, B. Regression Analysis by Example, (Wiley, Second Edition, 1991).
• Hampel, F. R., Ronchetti, E. M., Rousseeww, P. J. and Stahel, W. A. Robust Statistics (John Wiley & Sons, 1986).
• Huber, P. Robust Statistics (Wiley, New York, 1981).
• Kadilar, C. and Cingi, H. Ratio estimators in stratified random sampling, Biometrical Jour- nal 45, 218–225, 2003.
• Kadilar, C. and Cingi, H. Estimator of a population mean using two auxiliary variables in simple random sampling, International Mathematical Journal 5, 357–360, 2003.
• Kadilar, C. and Cingi, H. Ratio estimators in simple random sampling, Applied Mathemat- ics and Computation 151, 893–902, 2004.
• Kadilar, C. and Cingi, H. A new estimator using two auxiliary variable, Applied Mathe- matics and Computation 162, 901–908, 2005.
• Kadilar, C. and Cingi, H. A new ratio estimator in stratified random sampling, Communi- cations in Statistics: Theory and Methods 34, 597–602, 2005.
• Rousseeuw, P. and Leroy, A. Robust Regression and Outlier Detection, (Wiley, New York, ). Singh, H. P. and Kakran, M. S. A modified ratio estimator using known coefficient of kurtosis of an auxiliary character, unpublished, 1993.
• Sisodia, B. V. S. and Dwivedi, V. K. A modified ratio estimator using coefficient of variation of auxiliary variable, Journal of Indian Society Agricultural Statistics 33, 13–18, 1981.
• Upadhyaya, L. N. and Singh, H. P. Use of transformed auxiliary variable in estimating the finite population mean, Biometrical Journal 41, 627–636, 1999.