Sneyd, James Fewster, Rachel M. Mcgillivray, Duncan Mathematics and statistics for science 9783031053177

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Автор: Sneyd, James Fewster, Rachel M. Mcgillivray, Duncan
Название: Mathematics and statistics for science
ISBN: 9783031053177
Издательство: Springer
Классификация:

Математика

Вероятность и статистика

Прикладная математика

ISBN-10: 3031053176
Обложка/Формат: Hardback
Страницы: 964
Вес: 2.22 кг.
Дата издания: 03.08.2022
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 600 tables, color; 321 illustrations, color; 39 illustrations, black and white; xvi, 964 p. 360 illus., 321 illus. in color.; 600 tables, color; 321 i
Размер: 261 x 186 x 55
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: Part I Units and Measurement.- 1 Units.- 2 Measurement, rounding and uncertainty.- Part II Functions and Complex Numbers.- 3 Functions.- 4 Exponential and log functions.- 5 Periodic functions.- 6 Linearising functions.- 7 Complex numbers.- Part III Vector

Mathematics and statistics for science, Sneyd, James Fewster, Rachel M. Mcgillivray, Duncan