Bayesian Statistics for Beginners: A Step-By-Step Approach
暫譯: 初學者的貝葉斯統計：逐步指南

Donovan, Therese M., Mickey, Ruth M.

Bayesian Statistics for Beginners: A Step-By-Step Approach

相關主題

商品描述

Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments based on incomplete or imperfect information; as that information is gathered and disseminated, the Bayesian approach corrects or replaces the assumptions and alters its decision-making accordingly to generate a new set of probabilities. As new data/evidence becomes available the probability for a particular hypothesis can therefore be steadily refined and revised. It is very well-suited to the scientific method in general and is widely used across the social, biological, medical, and physical sciences. Key to this book's novel and informal perspective is its unique pedagogy, a question and answer approach that utilizes accessible language, humor, plentiful illustrations, and frequent reference to on-line resources.

Bayesian Statistics for Beginners is an introductory textbook suitable for senior undergraduate and graduate students, professional researchers, and practitioners seeking to improve their understanding of the Bayesian statistical techniques they routinely use for data analysis in the life and medical sciences, psychology, public health, business, and other fields.

商品描述(中文翻譯)

貝葉斯統計目前正經歷一場復興。其核心是一種統計推斷方法，利用貝葉斯定理來更新假設的概率，隨著更多證據或信息的出現。這種方法非常適合在不完整或不完美的信息基礎上進行初步評估；隨著信息的收集和傳播，貝葉斯方法會修正或替換假設，並相應地改變其決策，以生成一組新的概率。因此，當新的數據/證據變得可用時，特定假設的概率可以不斷被精煉和修訂。這種方法非常適合科學方法，並廣泛應用於社會科學、生物科學、醫學和物理科學等領域。本書的新穎和非正式視角的關鍵在於其獨特的教學法，採用問答的方式，利用易於理解的語言、幽默、豐富的插圖以及頻繁參考線上資源。

貝葉斯統計入門是一本適合高年級本科生和研究生、專業研究人員以及希望提高對貝葉斯統計技術理解的實務工作者的入門教科書，這些技術通常用於生命科學、醫學、心理學、公共衛生、商業及其他領域的數據分析。

作者簡介


Therese Donovan, Wildlife Biologist, U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit, University of Vermont, USA, Ruth M. Mickey, Professor Emerita, Department of Mathematics and Statistics, University of Vermont, USA

Therese Donovan is a wildlife biologist with the U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit. Based in the Rubenstein School of Environment and Natural Resources at the University of Vermont, Therese teaches graduate courses on ecological modeling and conservation biology. She works with a variety of student and professional collaborators on research problems focused on the conservation of vertebrates. Therese is the Director of the Vermont Cooperative Fish and Wildlife Unit Spreadsheet Project, a suite of on-line tutorials in Excel and R for modeling and analysis of wildlife populations. She lives in Vermont with her husband, Peter, and two children, Evan and Ana.

Ruth Mickey is a Professor Emerita of Statistics at the University of Vermont. Most of Ruth's career was spent in the Department of Mathematics and Statistics, where she taught courses in Applied Multivariate Analysis, Categorical Data, Survey Sampling, Analysis of Variance and Regression, and Probability. She served as an advisor or committee member of numerous MS and PhD committees over a broad range of academic disciplines. She worked on the development of statistical methods and applications to advance public health and natural resources issues throughout her career.

作者簡介(中文翻譯)

Therese Donovan，美國地質調查局野生動物生物學家，佛蒙特州合作魚類與野生動物研究單位，佛蒙特大學，美國，Ruth M. Mickey，佛蒙特大學數學與統計系名譽教授，美國

Therese Donovan 是美國地質調查局佛蒙特州合作魚類與野生動物研究單位的野生動物生物學家。她在佛蒙特大學的魯本斯坦環境與自然資源學院任教，教授生態模型和保育生物學的研究生課程。她與各種學生和專業合作者合作，研究專注於脊椎動物保護的問題。Therese 是佛蒙特州合作魚類與野生動物單位電子表格專案的主任，該專案提供一系列關於使用 Excel 和 R 進行野生動物族群建模和分析的線上教學。她與丈夫 Peter 及兩個孩子 Evan 和 Ana 住在佛蒙特州。

Ruth Mickey 是佛蒙特大學的名譽統計學教授。Ruth 的大部分職業生涯都在數學與統計系度過，她教授應用多變量分析、類別數據、調查取樣、變異數分析與回歸以及機率等課程。她在多個碩士和博士委員會中擔任顧問或委員，涵蓋廣泛的學術領域。她在職業生涯中致力於發展統計方法和應用，以促進公共健康和自然資源問題的進展。

類似商品

最後瀏覽商品 (6)