Applied Mathematics

Volume 5, Issue 13 (July 2014)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.83  Citations  

Truncated Geometric Bootstrap Method for Time Series Stationary Process

HTML  Download Download as PDF (Size: 877KB)  PP. 2057-2061  
DOI: 10.4236/am.2014.513199    2,978 Downloads   3,837 Views   Citations


This paper introduced a bootstrap method called truncated geometric bootstrap method for time series stationary process. We estimate the parameters of a geometric distribution which has been truncated as a probability model for the bootstrap algorithm. This probability model was used in resampling blocks of random length, where the length of each blocks has a truncated geometric distribution. The method was able to determine the block sizes b and probability p attached to its random selections. The mean and variance were estimated for the truncated geometric distribution and the bootstrap algorithm developed based on the proposed probability model.

Cite this paper

Olatayo, T. (2014) Truncated Geometric Bootstrap Method for Time Series Stationary Process. Applied Mathematics, 5, 2057-2061. doi: 10.4236/am.2014.513199.

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