Abstract:
Studies on the iteration procedure in double bootstrap method have given a great
impact on confidence interval performance. However, the procedure was claimed to
be complicated and demand intensive computer processor. Considering this problem,
an alternative procedure was proposed in this research. Despite of using small
sampling sequence, this research was aimed to increase the accuracy estimation using
a second replication number which resulted in a large sampling sequence of double
bootstrap. In this paper, the alternative double bootstrap method was hybrid onto an
example model and its performance was based on Studentised interval. The performance
was examined in simulation study and real sample data of sukuk Ijarah. The
result showed that hybrid double bootstrap model gave more accurate estimation in
terms of its shorter length when dealing with various parameter values and has
shown to improve the single bootstrap estimation.
