{
"item_title" : "Bayesian Modeling of Spatio-Temporal Data with R",
"item_author" : [" Sujit Sahu "],
"item_description" : "This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/36/727/798/0367277980_b.jpg",
"price_data" : {
"retail_price" : "140.00", "online_price" : "140.00", "our_price" : "140.00", "club_price" : "140.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Overview
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780367277987
- ISBN-10: 0367277980
- Publisher: CRC Press
- Publish Date: March 2022
- Dimensions: 9.21 x 6.14 x 0.94 inches
- Shipping Weight: 1.72 pounds
- Page Count: 434
Related Categories
