{
"item_title" : "Statistical Methods for Handling Incomplete Data",
"item_author" : [" Jae Kwang Kim", "Jun Shao "],
"item_description" : "Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. This book covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/03/211/813/103211813X_b.jpg",
"price_data" : {
"retail_price" : "65.99", "online_price" : "65.99", "our_price" : "65.99", "club_price" : "65.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Statistical Methods for Handling Incomplete Data
by Jae Kwang Kim and Jun Shao
Other Available Formats
Overview
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. This book covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9781032118130
- ISBN-10: 103211813X
- Publisher: CRC Press
- Publish Date: January 2024
- Dimensions: 9.21 x 6.14 x 0.79 inches
- Shipping Weight: 1.18 pounds
- Page Count: 380
Related Categories
