Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R

Heumann, Christian, Schomaker, Michael, Shalabh

Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R

相關主題

商品描述

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference.

The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.

商品描述(中文翻譯)

現在已進入第二版的這本入門統計學教科書，傳達了發展和培養統計思維所需的基本概念和工具。它介紹了描述性、推論性和探索性統計方法，並指導讀者進行定量數據分析的過程。這一修訂和擴展的版本新增了有關邏輯回歸、簡單隨機抽樣（包括自助法）和因果推斷的新章節。

本書主要針對商業管理、社會科學、醫學、政治學和宏觀經濟學等學科的本科生。書中包含大量的範例、練習和解答，並提供統計程式語言 R 的電腦程式碼，以及補充材料，幫助讀者迅速將這些方法應用到自己的實際情況中。

作者簡介

Dr. Christian Heumann is a Professor at the Department of Statistics, LMU Munich, Germany, where he teaches students in both the Bachelor's and Master's programs. His research interests include statistical modeling, computational statistics and methods for missing data, also in connection with causal inference. Recently, he has begun exploring statistical methods in natural language processing.

Dr. Michael Schomaker is a Researcher and Heisenberg Fellow at the Department of Statistics, LMU Munich, Germany. He is an honorary Senior Lecturer at the University of Cape Town, South Africa and previously worked as an Associate Professor at UMIT - University for Health Sciences, Medical Informatics and Technology, Austria. For many years he has taught both undergraduate and post-graduate students from various disciplines, including the business and medical sciences, and has written contributions for various introductory textbooks. His research focuses on causal inference, missing data, model averaging, and HIV and public health.

Dr. Shalabh is a Professor at the Indian Institute of Technology Kanpur, India. As a post-doctoral researcher he worked at the University of Pittsburgh, USA and LMU Munich, Germany. He has over twenty-five years of experience in teaching and research. His main research areas are linear models, regression analysis, econometrics, error-measurement models, missing data models and sampling theory.

作者簡介(中文翻譯)

Dr. Christian Heumann 是德國慕尼黑大學統計系的教授，教授學士和碩士課程的學生。他的研究興趣包括統計建模、計算統計以及缺失數據的方法，並與因果推斷相關。最近，他開始探索自然語言處理中的統計方法。

Dr. Michael Schomaker 是德國慕尼黑大學統計系的研究員和海森堡研究員。他是南非開普敦大學的榮譽高級講師，並曾擔任奧地利健康科學、醫療資訊與技術大學（UMIT）的副教授。多年來，他教授來自各個學科的本科生和研究生，包括商業和醫學科學，並為各種入門教科書撰寫貢獻。他的研究重點是因果推斷、缺失數據、模型平均以及HIV和公共衛生。

Dr. Shalabh 是印度坎普爾印度理工學院的教授。作為博士後研究員，他曾在美國匹茲堡大學和德國慕尼黑大學工作。他在教學和研究方面擁有超過二十五年的經驗。他的主要研究領域包括線性模型、迴歸分析、計量經濟學、誤差測量模型、缺失數據模型和抽樣理論。

類似商品