Mathematics and Statistics for Science
暫譯: 科學的數學與統計學
Sneyd, James, Fewster, Rachel M., McGillivray, Duncan
- 出版商: Springer
- 出版日期: 2022-06-29
- 售價: $3,370
- 貴賓價: 9.5 折 $3,202
- 語言: 英文
- 頁數: 972
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031053176
- ISBN-13: 9783031053177
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
Mathematics and statistics are the bedrock of modern science. No matter which branch of science you plan to work in, you simply cannot avoid quantitative approaches. And while you won’t always need to know a great deal of theory, you will need to know how to apply mathematical and statistical methods in realistic scenarios. That is precisely what this book teaches. It covers the mathematical and statistical topics that are ubiquitous in early undergraduate courses, but does so in a way that is directly linked to science.
Beginning with the use of units and functions, this book covers key topics such as complex numbers, vectors and matrices, differentiation (both single and multivariable), integration, elementary differential equations, probability, random variables, inference and linear regression. Each topic is illustrated with widely-used scientific equations (such as the ideal gas law or the Nernst equation) and real scientific data, often taken directly from recent scientific papers. The emphasis throughout is on practical solutions, including the use of computational tools (such as Wolfram Alpha or R), not theoretical development. There is a large number of exercises, divided into mathematical drills and scientific applications, and full solutions to all the exercises are available to instructors.
Mathematics and Statistics for Science covers the core methods in mathematics and statistics necessary for a university degree in science, highlighting practical solutions and scientific applications. Its pragmatic approach is ideal for students who need to apply mathematics and statistics in a real scientific setting, whether in the physical sciences, life sciences or medicine.
商品描述(中文翻譯)
數學和統計學是現代科學的基石。無論你計劃在哪個科學領域工作，你都無法避免定量方法的使用。雖然你不一定需要了解大量的理論，但你需要知道如何在現實情境中應用數學和統計方法。這正是本書所教授的內容。它涵蓋了在大學初級課程中普遍存在的數學和統計主題，但以直接與科學相關的方式進行探討。
本書從單位和函數的使用開始，涵蓋了關鍵主題，如複數、向量和矩陣、微分（包括單變量和多變量）、積分、初等微分方程、機率、隨機變數、推論和線性回歸。每個主題都用廣泛使用的科學方程式（例如理想氣體定律或能斯特方程）和真實的科學數據進行說明，這些數據通常直接取自最近的科學論文。全書強調實用解決方案，包括使用計算工具（如 Wolfram Alpha 或 R），而非理論發展。書中有大量的練習題，分為數學訓練和科學應用，所有練習題的完整解答均可供教師使用。
《科學的數學與統計》涵蓋了獲得科學大學學位所需的數學和統計核心方法，突顯實用解決方案和科學應用。其務實的方式非常適合需要在真實科學環境中應用數學和統計的學生，無論是在物理科學、生命科學還是醫學領域。
作者簡介
James Sneyd is a Professor of Applied Mathematics at the University of Auckland, New Zealand. His research is mostly in mathematical physiology and cell biology, and he is the co-author (with Jim Keener) of the prize-winning book Mathematical Physiology. He lives beside a beach, and it is absolutely untrue that he would ever waste his time playing computer games.
Rachel Fewster is a Professor of Statistics at the University of Auckland, New Zealand. She has over 20 years experience of teaching mathematical statistics to students with diverse interests, for which she has received a national tertiary educator award. She is a leading researcher in statistical methods for wildlife conservation, and has pioneered numerous methods for analysing novel data types generated by emerging technologies for remote sensing and animal recognition. She leads a large citizen science project for New Zealand community conservationists and enjoys the challenge of communicating technical information to diverse audiences in an engaging and accessible manner. She is a recipient of the Campbell Award, the premier award for New Zealand statisticians.
Duncan McGillivray is a Professor of Physical Chemistry at the University of Auckland, New Zealand, and a Fellow of the Royal Society of Chemistry and the New Zealand Institute of Chemistry. He uses a wide range of mathematical tools in his studies of biologically relevant colloids and interfaces using neutron scattering. He is passionate about teaching and learning for science students, and has been involved in teaching at all levels of tertiary study.
作者簡介(中文翻譯)
詹姆斯·斯奈德 (James Sneyd) 是紐西蘭奧克蘭大學的應用數學教授。他的研究主要集中在數學生理學和細胞生物學，並且是獲獎書籍 數學生理學 (Mathematical Physiology) 的共同作者（與吉姆·基納 (Jim Keener) 合作）。他住在海灘旁邊，絕對不會浪費時間玩電腦遊戲是完全不真實的。
瑞秋·菲斯特 (Rachel Fewster) 是紐西蘭奧克蘭大學的統計學教授。她擁有超過20年的教學經驗，教授數學統計學給具有多樣興趣的學生，因此獲得了全國高等教育者獎。她是野生動物保護統計方法的領先研究者，並且開創了多種分析新興技術生成的遙感和動物識別數據類型的方法。她領導一個大型公民科學項目，為紐西蘭的社區保護者服務，並享受以引人入勝且易於理解的方式向多樣化的受眾傳達技術信息的挑戰。她是坎貝爾獎 (Campbell Award) 的獲得者，該獎項是紐西蘭統計學家的最高榮譽。
鄧肯·麥基利弗雷 (Duncan McGillivray) 是紐西蘭奧克蘭大學的物理化學教授，也是皇家化學學會和紐西蘭化學學會的院士。他在使用中子散射研究生物相關的膠體和界面時，使用了各種數學工具。他對科學學生的教學和學習充滿熱情，並參與了所有高等教育階段的教學。
