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[ subject:"Statistics in Business, Management, Economics, Finance, Insurance." ]
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Introduction to mathematics for economics with R
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introduction to mathematics for economics with Rby Massimiliano Porto.
作者:
Porto, Massimiliano.
出版者:
Cham :Springer International Publishing :2022.
面頁冊數:
xxix, 853 p. :ill. (chiefly color), digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
EconomicsMathematical models.
電子資源:
https://doi.org/10.1007/978-3-031-05202-6
ISBN:
9783031052026$q(electronic bk.)
Introduction to mathematics for economics with R
Porto, Massimiliano.
Introduction to mathematics for economics with R
[electronic resource] /by Massimiliano Porto. - Cham :Springer International Publishing :2022. - xxix, 853 p. :ill. (chiefly color), digital ;24 cm.
1. Introduction to R -- 2. Linear Algebra -- 3. Functions of one variable -- 4. Dierential Calculus -- 5. Integral Calculus -- 6. Multivariable Calculus -- 7. Constrained Optimization -- 8. Trigonometry -- 9. Complex numbers -- 10. Difference equations -- 11. Differential equations.
This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises that require the reader to code their own functions in R. All chapters include applications for topics in economics and econometrics. As fully reproducible book, this volume gives readers the opportunity to learn by doing and develop research skills as they go. As such, it is appropriate for students in economics and econometrics.
ISBN: 9783031052026$q(electronic bk.)
Standard No.: 10.1007/978-3-031-05202-6doiSubjects--Topical Terms:
182938
Economics
--Mathematical models.
LC Class. No.: HB135
Dewey Class. No.: 330.0151
Introduction to mathematics for economics with R
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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.
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