A test statistic based on ranked set sampling for two normal means
Autor: | Meral Ebegil, Fikri Gökpinar, Yaprak Arzu Özdemir |
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Rok vydání: | 2017 |
Předmět: |
Statistics and Probability
One- and two-tailed tests 020209 energy 02 engineering and technology 01 natural sciences 010104 statistics & probability F-test Modeling and Simulation Statistics 0202 electrical engineering electronic engineering information engineering Chi-square test Test statistic Z-test 0101 mathematics Goldfeld–Quandt test Student's t-test Statistic Mathematics |
Zdroj: | Communications in Statistics - Simulation and Computation. 46:8077-8085 |
ISSN: | 1532-4141 0361-0918 |
Popis: | In this study, we considered a hypothesis test for the difference of two population means using ranked set sampling. We proposed a test statistic for this hypothesis test with more than one cycle under normality. We also investigate the performance of this test statistic, when the assumptions hold and are violated. For this reason, we investigate the type I error and power rates of tests under normality with equal and unequal variances, non-normality with equal and unequal variances. We also examine the performance of this test under imperfect ranking case. The simulation results show that derived test performs quite well. |
Databáze: | OpenAIRE |
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