商品描述
This book presents a practical introduction to statistical consulting through 36 carefully designed hypothetical case studies drawn from realistic problems that resemble those commonly encountered in statistical consulting and applied research using data. Every case study is self-contained and focuses on the essential ideas needed to understand and apply the relevant methods. Discussions are intentionally concise and centered on key concepts, modelling choices, and interpretation of results. A standardized workflow is used across different cases so that readers can quickly orient themselves when approaching a new problem. The case studies collectively cover a broad range of statistical methods commonly used in practice.
The book can serve both as a teaching resource and as a practical reference. Students can use it as an exercise-oriented companion for developing applied statistical skills through many case studies, while researchers and practitioners from diverse fields may consult it to find a case study resembling their own analytical situation and adapt the accompanying codes and workflow to their own work.
Key Features:
- Hypothetical yet realistic case studies allow comprehensive coverage of topics and practical issues.
- Familiar everyday cases remove unnecessary mental load while focusing on essential ideas and concepts.
- The example-to-method approach leads to growth of abilities while deepening understanding of methods.
- A standardized workflow makes complex problems approachable and abstract problem-solving skills learnable.
- Complete R codes make learnt methods immediately applicable and adaptable to readers' own work.
Lei Hua is a professor in the School of Mathematical and Statistical Sciences at the Northern Illinois University. His research focuses on multivariate non-Gaussian, dependence modelling, and quantitative risk management. He earned a PhD in statistics from the University of British Columbia.
商品描述(中文翻譯)
本書透過 36 個精心設計的假設案例，提供統計諮詢的實務導論。這些案例取材自貼近現實的問題，類似於統計諮詢與資料應用研究中常見的情境。每個案例皆獨立成篇，聚焦於理解並應用相關方法所需的核心概念。內容討論刻意保持精簡，集中說明關鍵概念、建模選擇，以及結果的解讀。不同案例皆採用標準化工作流程，讓讀者在面對新問題時能迅速掌握方向。整體而言，這些案例涵蓋了實務中常用的廣泛統計方法。
本書既可作為教學資源，也可作為實務參考書。學生可以將本書作為以練習為導向的學習夥伴，透過大量案例培養應用統計能力；來自不同領域的研究人員與實務工作者，則可從中尋找與自身分析情境相似的案例，並將隨附的程式碼與工作流程調整後應用於自己的工作。
主要特色：
- 假設但貼近現實的案例，讓本書能完整涵蓋各類主題與實務問題。
- 熟悉的日常情境可降低不必要的認知負擔，同時聚焦於核心概念與重要觀念。
- 透過「從範例到方法」的學習方式，在深化方法理解的同時，逐步提升實作能力。
- 標準化工作流程讓複雜問題更容易處理，也使抽象的問題解決能力變得可學習。
- 完整的 R 程式碼讓讀者能立即應用所學方法，並依據自身工作需求進行調整。
Lei Hua 任職於 Northern Illinois University 數學與統計科學學院，擔任教授。他的研究聚焦於多變量非高斯模型、相依性建模，以及量化風險管理。他於 University of British Columbia 取得統計學博士學位。
作者簡介
Lei Hua is a professor in the School of Mathematical and Statistical Sciences at the Northern Illinois University. His research focuses on multivariate non-Gaussian, dependence modelling, and quantitative risk management. He earned a PhD in statistics from the University of British Columbia.
作者簡介(中文翻譯)
Lei Hua 是 Northern Illinois University 數學與統計科學學院的教授。他的研究專注於多變量非 Gaussian 分布、相依性建模，以及量化風險管理。他在 University of British Columbia 取得統計學博士學位。
