Complex-Valued Econometrics with Examples in R

Complex-Valued Econometrics with Examples in R
Author :
Publisher : Springer Nature
Total Pages : 162
Release :
ISBN-10 : 9783031626081
ISBN-13 : 3031626087
Rating : 4/5 (81 Downloads)

Book Synopsis Complex-Valued Econometrics with Examples in R by : Sergey Svetunkov

Download or read book Complex-Valued Econometrics with Examples in R written by Sergey Svetunkov and published by Springer Nature. This book was released on with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Complex-Valued Econometrics with Examples in R Related Books

Complex-Valued Econometrics with Examples in R
Language: en
Pages: 162
Authors: Sergey Svetunkov
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Applied Econometrics with R
Language: en
Pages: 229
Authors: Christian Kleiber
Categories: Business & Economics
Type: BOOK - Published: 2008-12-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Be
Topics in Advanced Econometrics
Language: en
Pages: 274
Authors: Herman J. Bierens
Categories: Business & Economics
Type: BOOK - Published: 1996-02-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A rigorous treatment of a number of timely topics in advanced econometrics.
Hands-on Intermediate Econometrics Using R
Language: en
Pages: 540
Authors: Hrishikesh D. Vinod
Categories: Business & Economics
Type: BOOK - Published: 2008 - Publisher: World Scientific

DOWNLOAD EBOOK

This book explains how to use R software to teach econometrics by providing interesting examples, using actual data applied to important policy issues. It helps
Matrix Differential Calculus with Applications in Statistics and Econometrics
Language: en
Pages: 504
Authors: Jan R. Magnus
Categories: Mathematics
Type: BOOK - Published: 2019-03-18 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics This exhaustive, self-c