{
"item_title" : "Bootstrapping",
"item_author" : [" Felix Bittmann "],
"item_description" : "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. ",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/11/069/440/3110694409_b.jpg",
"price_data" : {
"retail_price" : "36.99", "online_price" : "36.99", "our_price" : "36.99", "club_price" : "36.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Bootstrapping : An Integrated Approach with Python and Stata
Overview
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.
Customers Also Bought
Details
- ISBN-13: 9783110694406
- ISBN-10: 3110694409
- Publisher: de Gruyter
- Publish Date: April 2021
- Dimensions: 9.61 x 6.69 x 0.28 inches
- Shipping Weight: 0.48 pounds
- Page Count: 128
Related Categories
