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{ "item_title" : "Advances and Innovations in Statistics and Data Science", "item_author" : [" Wenqing He", "Liqun Wang", "Jiahua Chen "], "item_description" : "This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/108/331/3031083318_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances and Innovations in Statistics and Data Science|Wenqing He

Advances and Innovations in Statistics and Data Science

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Overview

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

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Details

  • ISBN-13: 9783031083310
  • ISBN-10: 3031083318
  • Publisher: Springer
  • Publish Date: October 2023
  • Dimensions: 9.21 x 6.14 x 0.73 inches
  • Shipping Weight: 1.09 pounds
  • Page Count: 332

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