Statistical Foundations, Reasoning and Inference: For Science and Data Science
暫譯: 統計基礎、推理與推斷：科學與數據科學的應用
Kauermann, Göran, Küchenhoff, Helmut, Heumann, Christian
- 出版商: Springer
- 出版日期: 2021-10-01
- 售價: $4,890
- 貴賓價: 9.5 折 $4,646
- 語言: 英文
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030698262
- ISBN-13: 9783030698263
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
商品描述
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
商品描述(中文翻譯)
這本教科書提供了現代統計學和數據科學中必不可少的統計原則、概念和方法的全面介紹。涵蓋的主題包括基於似然的推斷、貝葉斯統計、回歸、統計檢定以及不確定性的量化。此外，本書還探討了在現代數據分析中有用的統計思想，包括自助法（bootstrapping）、多變量分佈建模、缺失數據分析、因果關係以及實驗設計原則。這本教科書包含足夠的材料以供兩學期的課程使用，適合對概率論有基本了解的數據科學、統計學和計算機科學的碩士生。對於希望加強統計技能的數據科學從業者來說，本書也將非常有用。
作者簡介
Göran Kauermann is a Professor of Statistics at the Department of Statistics and Chair of the Elite Master's Program in Data Science at the LMU Munich, Germany. He is a recognized expert in applied statistics. He previously served as Editor-in-Chief of AStA Advances in Statistical Analysis, a journal of the German Statistical Society.
Helmut Küchenhoff is a Professor of Statistics at the Department of Statistics and Head of the Statistical Consulting Unit (StaBLab) at the LMU Munich, Germany. He has extensive experience in working on practical statistical projects in science and industry. His teaching focuses on practical work, where students engage in practical projects with real-world problems.
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.
作者簡介(中文翻譯)
戈蘭·考爾曼（Göran Kauermann）是德國慕尼黑大學（LMU Munich）統計系的統計學教授及數據科學精英碩士課程的主任。他是應用統計學的公認專家。之前，他曾擔任德國統計學會期刊《AStA Advances in Statistical Analysis》的主編。
赫爾穆特·庫亨霍夫（Helmut Küchenhoff）是德國慕尼黑大學（LMU Munich）統計系的統計學教授及統計諮詢單位（StaBLab）的負責人。他在科學和工業的實際統計項目方面擁有豐富的經驗。他的教學重點在於實踐工作，學生參與解決現實世界問題的實際項目。
克里斯蒂安·赫曼（Christian Heumann）是德國慕尼黑大學（LMU Munich）統計系的教授，教授本科和碩士課程的學生。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，並與因果推斷相關聯。最近，他開始探索自然語言處理中的統計方法。
