An overview on various ways of bootstrap methods
Venus Khim‐Sen Liew
Abstract
Open-access reader
Venus Khim‐Sen Liew
Abstract
Open-access reader
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which would otherwise be difficult if not totally impossible. Nowadays, bootstrapping has become an important aspect in research. This paper reviews various ways of bootstrapping data for cross-sectional and time series samples. Various ways of bootstrapping confidence intervals for estimators, an important application of bootstrap methods, are also discussed in this paper. Several other applications of bootstrap methods are briefly mentioned preceding to the concluding remarks this paper.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which would otherwise be difficult if not totally impossible. Nowadays, bootstrapping has become an important aspect in research. This paper reviews various ways of bootstrapping data for cross-sectional and time series samples. Various ways of bootstrapping confidence intervals for estimators, an important application of bootstrap methods, are also discussed in this paper. Several other applications of bootstrap methods are briefly mentioned preceding to the concluding remarks this paper.
Key concepts: Bootstrapping (finance), Estimator, Computer science, Bootstrap aggregating, Bootstrap model, Series (stratigraphy), Confidence interval, Econometrics