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Introduction to Mathematics for Economics with R
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Introduction to Mathematics for Economics with R/ by Massimiliano Porto.
作者:
Porto, Massimiliano.
面頁冊數:
XXIX, 853 p. 196 illus., 147 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics in Business, Management, Economics, Finance, Insurance. -
電子資源:
https://doi.org/10.1007/978-3-031-05202-6
ISBN:
9783031052026
Introduction to Mathematics for Economics with R
Porto, Massimiliano.
Introduction to Mathematics for Economics with R
[electronic resource] /by Massimiliano Porto. - 1st ed. 2022. - XXIX, 853 p. 196 illus., 147 illus. in color.online resource.
1. Introduction to R -- 2. Linear Algebra -- 3. Functions of one variable -- 4. Dierential Calculus -- 5. Integral Calculus -- 6. Multivariable Calculus -- 7. Constrained Optimization -- 8. Trigonometry -- 9. Complex numbers -- 10. Difference equations -- 11. Differential equations.
This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises that require the reader to code their own functions in R. All chapters include applications for topics in economics and econometrics. As fully reproducible book, this volume gives readers the opportunity to learn by doing and develop research skills as they go. As such, it is appropriate for students in economics and econometrics.
ISBN: 9783031052026
Standard No.: 10.1007/978-3-031-05202-6doiSubjects--Topical Terms:
1366003
Statistics in Business, Management, Economics, Finance, Insurance.
LC Class. No.: HB139-141
Dewey Class. No.: 330.9
Introduction to Mathematics for Economics with R
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1. Introduction to R -- 2. Linear Algebra -- 3. Functions of one variable -- 4. Dierential Calculus -- 5. Integral Calculus -- 6. Multivariable Calculus -- 7. Constrained Optimization -- 8. Trigonometry -- 9. Complex numbers -- 10. Difference equations -- 11. Differential equations.
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