Statistical Methods and Applications Using Quantiles
暫譯: 使用分位數的統計方法與應用

以統一且現代化的方式介紹以分位數（quantiles）為基礎的統計方法，串聯傳統迴歸、分布建模與當代資料分析。這套方法不再侷限於以平均數為基礎的分析，而是透過分位數函數，建立一套用於建模條件分布與邊際分布的完整架構。

Marco Geraci is Professor of Statistics and Medical Statistics at Sapienza University of Rome and an internationally recognised expert in quantile-based statistical methods. His research focuses on the development of flexible modelling approaches for complex data, with applications in the health and social sciences. He has held academic positions at University College London, the University of Manchester, and the University of South Carolina. His work has been widely cited, with several publications recognized as highly cited contributions in statistics. Professor Geraci was Statistical Editor of the Journal of Child Health Care and has served on the editorial boards of leading statistical journals, including the Journal of the Royal Statistical Society Series A. He is a Fellow of the Royal Statistical Society and a member of the editorial board of Significance. He is also the author of widely used R packages for quantile modelling, which have contributed to the uptake of modern statistical methods in applied research.

Marco Geraci 是 Sapienza University of Rome 的統計學與醫學統計學教授，也是國際公認的分位數統計方法專家。他的研究著重於為複雜資料開發具彈性的建模方法，並將其應用於健康與社會科學領域。他曾任職於 University College London、University of Manchester 及 University of South Carolina。其研究成果獲廣泛引用，其中數篇論文更被認定為統計學領域的高引用貢獻。

Geraci 教授曾擔任 Journal of Child Health Care 的統計編輯，並曾任多本重要統計期刊的編輯委員，包括 Journal of the Royal Statistical Society Series A。他是 Royal Statistical Society 的 Fellow，也是 Significance 編輯委員會的成員。此外，他還是多個廣泛使用之 R 分位數建模套件的作者，這些套件促進了現代統計方法在應用研究中的採用。