Quantitative Methods of Data Analysis for the Physical Sciences and Engineering (Hardcover)
暫譯: 物理科學與工程的數據分析定量方法 (精裝版)

Professor Douglas G. Martinson

  • 出版商: Cambridge
  • 出版日期: 2018-09-20
  • 售價: $1,560
  • 貴賓價: 9.8$1,529
  • 語言: 英文
  • 頁數: 626
  • 裝訂: Hardcover
  • ISBN: 1107029767
  • ISBN-13: 9781107029767
  • 相關分類: Data Science
  • 下單後立即進貨 (約5~7天)

相關主題

商品描述

This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as self-contained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes.

商品描述(中文翻譯)

本書對於研究生和實務工作者所需的大多數新穎且重要的數據分析定量方法提供了全面而深入的介紹。近年來,隨著計算能力的提升,數據分析方法迅速發展,因此理解這些方法對於充分利用數據並從噪聲中提取信號至關重要。本書在用簡單的解釋和詳細的說明插圖來解釋困難概念方面表現出色。本書最獨特之處在於專注於功率譜的信心界限及其正確解釋,這在其他書籍中很少見或完全缺失。同樣,本書也對如何通過期望值來評估不確定性進行了徹底的討論,並介紹了易於應用和理解的自助法(Bootstrap 方法)。本書的寫作方式使每種方法的描述儘可能自成一體。書中提供了許多示例以澄清解釋,並在突出框中提供了用戶提示。