Bootstrapping : an integrated approach with Python and Stata
- Berlin : De Gruyter, 2021
- viii, 120 p. ; ill., 25 cm
Includes bibliographical references.
Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.
9783110694406
Variance Estimation Methods Arithmetic mean Compute the standard Descriptive statistics Hypothesis testing kurtosis Permutation test Point estimate Sampling distribution Shapiro-Wilk test Transformation