This article emphasizes the reliability of bootstrap sample sizes and block sizes at small replicates of B. The truncated geometric bootstrap method estimates of standard error and other measures of statistical precession such as bias, coefficient of variation, ratio and root mean square error are employed as a basis for comparison for both small and large sample sizes and block sizes. It is illustrated with real data.
