Название: Bootstrapping: An Integrated Approach with Python and Stata
Автор: Felix Bittmann
Издательство: De Gruyter
Год: 2021
Страниц: 128
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB
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.
As bootstrapping is based on a simple statistical concept, this book only requires knowledge about basic statistics. While formulas are often helpful to convey ideas in a precise fashion, the main objective of this book is to be as understandable as possible to a wide audience, so that everyone can profit from the many benefits that bootstrapping delivers.
The main objective of the present book is to convey the central ideas of the technique and demonstrate its flexibility and elegance. Based on this knowledge, each reader should be able to apply bootstrapping to his or her own work and benefit from its many advantages.
Автор: Felix Bittmann
Издательство: De Gruyter
Год: 2021
Страниц: 128
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB
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.
As bootstrapping is based on a simple statistical concept, this book only requires knowledge about basic statistics. While formulas are often helpful to convey ideas in a precise fashion, the main objective of this book is to be as understandable as possible to a wide audience, so that everyone can profit from the many benefits that bootstrapping delivers.
The main objective of the present book is to convey the central ideas of the technique and demonstrate its flexibility and elegance. Based on this knowledge, each reader should be able to apply bootstrapping to his or her own work and benefit from its many advantages.
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