This paper considers the one-sample sign test for population quantiles in general ranked set sampling, and proposes a weighted sign test because observations with different ranks are not identically distributed. It is shown analytically that optimal weight always improves the Pitman efficiency for all distributions. For each quantile, the sampling allocation that maximizes the sign test efficacy is identified and shown to not depend on the population distribution. Moreover, distribution-free confidence intervals for quantiles based on ordered values of optimal ranked set samples are discussed. (C) 2010 Elsevier B.V. All rights reserved.
机构:
McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, CanadaSt Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
Balakrishnan, N.
Li, T.
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St Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, CanadaSt Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
机构:St Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
Balakrishnan, N.
Li, T.
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机构:
St Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, CanadaSt Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
机构:
McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, CanadaSt Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
Balakrishnan, N.
Li, T.
论文数: 0引用数: 0
h-index: 0
机构:
St Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, CanadaSt Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
机构:St Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada
Balakrishnan, N.
Li, T.
论文数: 0引用数: 0
h-index: 0
机构:
St Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, CanadaSt Francis Xavier Univ, Dept Math Stat & Comp Sci, Antigonish, NS B2G 2W5, Canada