Statistical Shape Analysis: With Applications in R (Wiley Series in Probability and Statistics) 2/e

A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis

Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features.  Examples include comparing brain shape in schizophrenia; investigating protein molecules in bioinformatics; and describing growth of organisms in biology.

This book is a significant update of the highly-regarded `Statistical Shape Analysis’ by the same authors.  The new edition lays the foundations of landmark shape analysis, including geometrical concepts and statistical techniques, and extends to include analysis of curves, surfaces, images and other types of object data. Key definitions and concepts are discussed throughout, and the relative merits of different approaches are presented.

The authors have included substantial new material on recent statistical developments and offer numerous examples throughout the text.  Concepts are introduced in an accessible manner, while retaining sufficient detail for more specialist statisticians to appreciate the challenges and opportunities of this new field.  Computer code has been included for instructional use, along with exercises to enable readers to implement the applications themselves in R and to follow the key ideas by hands-on analysis.

Statistical Shape Analysis: with Applications in R will offer a valuable introduction to this fast-moving research area for statisticians and other applied scientists working in diverse areas, including archaeology, bioinformatics, biology, chemistry, computer science, medicine, morphometics and image analysis

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這是一本全面修訂和更新的書籍，介紹了現代統計方法在形狀分析中的應用。

形狀分析是一種重要的工具，在許多學科中使用幾何特徵來比較物體。例如，在精神分裂症中比較腦形狀；在生物信息學中研究蛋白質分子；以及在生物學中描述生物體的生長。

這本書是同一作者高度評價的《統計形狀分析》的重要更新。新版奠定了地標形狀分析的基礎，包括幾何概念和統計技術，並擴展到曲線、曲面、圖像和其他類型的物體數據的分析。重要的定義和概念貫穿全書，並介紹了不同方法的相對優點。

作者在最新的統計發展方面增加了大量新材料，並在全文中提供了許多示例。概念以易於理解的方式介紹，同時保留足夠的細節，以便更專業的統計學家能夠理解這個新領域的挑戰和機遇。書中還包含了用於教學的計算機代碼，以及練習題，讓讀者能夠在R中實施應用並通過實際分析來理解關鍵思想。

《統計形狀分析：在R中的應用》將為統計學家和其他應用科學家提供有價值的介紹，他們在各個領域工作，包括考古學、生物信息學、生物學、化學、計算機科學、醫學、形態計量學和圖像分析。

（以上為翻譯結果，請注意，原文中的空行已被移除）