Practical Statistical Consulting: Learning from Everyday Cases Using R
暫譯: 實用統計諮詢:使用 R 從日常案例中學習
Hua, Lei
- 出版商: CRC
- 出版日期: 2026-10-21
- 售價: $7,580
- 貴賓價: 9.5 折 $7,201
- 語言: 英文
- 頁數: 298
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041157894
- ISBN-13: 9781041157892
-
相關分類:
R 語言、機率統計學 Probability-and-statistics
尚未上市,無法訂購
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入門。這些案例取材自貼近現實的問題,類似於統計諮詢與使用資料進行應用研究時常見的情境。每個案例皆可獨立閱讀,並聚焦於理解與應用相關方法所需的核心概念。內容說明刻意保持精簡,著重於關鍵概念、建模選擇,以及結果的解讀。不同案例皆採用標準化的工作流程,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上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輔助教材,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,則可以查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種主題與實務問題。
- 熟悉的日常情境可減少不必要的認知負擔,讓讀者專注於核心想法與概念。
- 從範例出發學習方法,能在加深對方法理解的同時,逐步提升實作能力。
- 標準化的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,並調整後運用於自己的工作。
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 分析、相依性建模,以及定量風險管理。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高斯模型、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。