cannot be constructed. Therefore, the authors have proposed a bootstrap method to construct the hypothesis test for them on … the basis of p -value. Findings The authors have shown that by increasing n , the bootstrap method has better output …

profits. Design/methodology/approach – To identify the main source of momentum profits, first, the bootstrap method with … replacement was used. Then, to eliminate the existence of the small sample bias, the bootstrap method without replacement and the … block bootstrap method were employed. In this case, when the authors draw the observations without replacement the random …

fluctuations not forecasted by Gaussian models. This paper applies a resampling method based on the bootstrap and a bias … long and short positions. Our aim is to utilize the advantages of this model, but still use the bootstrap resampling method …

direct measures of in ationary expectations, the Kalman filter method, and the residual-based bootstrap procedure (in order …

the bootstrap technique to measure the productivity changes of a sample of 19 out of 20 Ghanaian life insurance firms for …

significant in the long run. Bootstrap panel granger causality analysis was applied in testing the nature and direction of causal …

bootstrap methods to address this issue. Despite this, no software package in any language has yet offered the recently … implements nonparametric estimation along with multiple new bootstrap-assisted inference methods. It provides a range of … bootstrap techniques for constructing pointwise confidence intervals and simultaneous bands for parameter curves. Additionally …