Factorial designs have been widely used in many scientific fields. In this case, rank-based tests can be an option for inferential procedures. This paper applies the GEE technique to rank transformed data and derives a unified Find pdf and cdf of for wilcoxon rank test-type rank test which can be used in any factorial design. The asymptotic properties of the proposed test are derived under the null and contiguous local alternative hypotheses.
As a major contribution of this article, incorporating the rank transform statistic into the GEE framework provides a powerful tool to derive general asymptotic results of the rank-based methods and facilitates the migration of inferential procedures for GEE to rank-based methods. Small sample corrections for the proposed Wald-type rank test using GEE are also investigated. Simulation studies confirmed the validity of the proposed Wald-type rank test using GEE in large sample studies as well as that performances of the proposed small sample corrected tests are similar to the Wald-type rank test proposed in previous studies in a two-way repeated measures design. Wald-type rank tests using GEE supplied.
Check if you have access through your login credentials or your institution. We use daily positions of futures market participants to identify informed traders. These data contain 8,921 unique traders. We identify between 94 and 230 traders as overnight informed and 91 as intraday informed with little overlap. We find that characteristics such as experience, position size, trading activity, and type of positions held offer significant predictive power for who is informed. An analysis of daily trader profits confirms that we select highly profitable traders.