E-collaboration researchers usually employ P values for hypothesis testing, a common practice in a variety of other fields. This is also customary in many methodological contexts, such as analyses of path models with or without latent variables, as well as simpler tests that can be seen as...

This article introduces and investigates the properties of a new bootstrap method for time-series data, the kernel block bootstrap. The bootstrap method, although akin to, offers an improvement over the tapered block bootstrap of Paparoditis and Politis (2001), admitting kernels with unbounded...

Compare the accuracy of two continuous-scale tests is increasing important when a new test is developed. The traditional approach that compares the entire areas under two Receiver Operating Characteristic (ROC) curves is not sensitive when two ROC curves cross each other. A better approach to...

The aim of statistical analysis and inference is to draw meaningful conclusions. In the case where there is prior knowledge of stochastic orderings or inequalities, it is desirable to incorporate this information in the estimation. This avoids possible unrealistic estimates, and may also lead to...

Tian and Dixon (2022) derived the variance of the estimator of cross-sectional distribution of durations (CSD). In this paper, we apply both Fieller's method and the Delta method to derive confidence interval of CSD using this variance formula. (CSD) is a new estimator derived by Dixon (2012)....

Reporting effect sizes and corresponding confidence intervals is increasingly demanded, which generates interest to analyze the performance of confidence intervals around effect sizes. As effect sizes take on the value zero in case of no effect per definition, not only the inclusion of the...

This article introduces and investigates the properties of a new bootstrap method for time-series data, the kernel block bootstrap. The bootstrap method, although akin to, offers an improvement over the tapered block bootstrap of Paparoditis and Politis (2001), admitting kernels with unbounded...

Reporting effect sizes and corresponding confidence intervals is increasingly demanded, which generates interest to analyze the performance of confidence intervals around effect sizes. As effect sizes take on the value zero in case of no effect per definition, not only the inclusion of the...