Exercise Book of Statistical Inference
暫譯: 統計推論練習本

Gasperoni, Francesca, Ieva, Francesca, Paganoni, Anna Maria

Exercise Book of Statistical Inference
  • 出版商: Springer
  • 出版日期: 2025-05-22
  • 售價: $3,390
  • 貴賓價: 9.5 折 $3,221
  • 語言: 英文
  • 頁數: 293
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 303186669X
  • ISBN-13: 9783031866692

    • 海外代購書籍(需單獨結帳)

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商品描述

This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science.

商品描述(中文翻譯)

本書的目的是幫助學生從統計推斷的理論和方法概念過渡到其在計算機上的實現。書的第一部分主要集中在需要用筆和紙解決的練習，以便學生能夠應用從引理和定理中獲得的知識；而第二部分則包含實驗室，涉及算法的手動實現以及學習內建工具以有效分析來自現實世界問題的數據集。為了優化對所開發主題的理解並指導讀者進行學習，本書分為幾個章節，每個章節都包括一個介紹部分，回顧統計推斷的理論基礎，接著是第二部分的練習，每個練習都附有詳細的紙本解答，並在適當的情況下使用軟體進行解答。本書的目標讀者為統計學、數學、工程學的本科生，以及數據科學的研究生課程。

作者簡介

Francesca Gasperoni is currently employed in the pharmaceutical sector as trial statistician. Before moving to industry, she was a researcher at the MRC Biostatistics Unit (Cambridge, UK) and her research focussed on advanced statistical modelling for electronic heath records. During her PhD, obtained at Politecnico of Milan (Italy), she worked as teaching assistant for several courses of Probability and Statistics.

Francesca Ieva is Associate Professor of Statistics at the Department of Mathematics of the Polytechnic of Milan. She deals with statistical learning in the biomedical field and statistical modeling for complex data coming from the world of healthcare research. Since 2021 she is associate head of the Health Data Science Center of Human Technopole.

Anna Maria Paganoni is Full Professor of Statistics at the Department of Mathematics of the Polytechnic of Milan. She deals with statistical modeling and analysis of highly complex data with particular attention to the biomedical field and learning analytics. She is responsible for several competitively funded research projects. She is currently Coordinator of the Course of Studies in Mathematical Engineering, and delegate of the Rector for "Data Strategy".

作者簡介(中文翻譯)

Francesca Gasperoni 目前在製藥行業擔任試驗統計師。在進入業界之前，她曾是英國劍橋的MRC生物統計單位的研究員，研究重點是電子健康記錄的先進統計建模。在米蘭理工大學（意大利）獲得博士學位期間，她擔任多門概率與統計課程的教學助理。 Francesca Ieva 是米蘭理工大學數學系的統計學副教授。她專注於生物醫學領域的統計學習以及來自醫療研究世界的複雜數據的統計建模。自2021年以來，她擔任人類技術中心健康數據科學中心的副主任。 Anna Maria Paganoni 是米蘭理工大學數學系的全職統計學教授。她專注於高度複雜數據的統計建模和分析，特別關注生物醫學領域和學習分析。她負責多個競爭性資助的研究項目。目前，她是數學工程學程的協調員，並擔任校長的「數據策略」代表。

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