On Two Properties of an Unequal Probability Sampling Scheme.
A. Chaudhuri, A.K. Adhikary (1989)
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A. Chaudhuri, A.K. Adhikary (1989)
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D. Adhvaryu, P.C. Gupta (1983)
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A.M. Pedgaonkar, S.G. Prabhu-Ajgaonkar (1978)
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L. N. Sahoo, J. Sahoo, Mariano Ruiz Espejo (1998)
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This paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normality (asymmetry).
J. Oderfeld (1951)
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Pranab Kumar Sen (1995)
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Ross, Sheldon M. (1994)
Journal of Applied Mathematics and Stochastic Analysis
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T.J. Rao, S. Sengupta, B.K. Sinha (1991)
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Jaroslav Hájek (1959)
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Wojciech Niemiro, Jacek Wesołowski (2001)
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Two-stage sampling schemes arise in survey sampling, especially in situations when the complete update of the frame is difficult. In this paper we solve the problem of fixed precision optimal allocation in two special two-stage sampling schemes. The solution is based on reducing the original question to an eigenvalue problem and then using the Perron-Frobenius theorem.