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      R In Finance And Economics: A Beginner’s Guide

      2 in stock

      Firm sale: non returnable item
      SKU 9789813144460 Categories ,
      This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research exam...

      £56.00

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      Description

      Product ID:9789813144460
      Product Form:Hardback
      Country of Manufacture:GB
      Title:R In Finance And Economics: A Beginner's Guide
      Authors:Author: Abhay Kumar Singh, David Edmund Allen
      Page Count:264
      Subjects:Economics, Economics, Finance and accounting, Finance & accounting
      Description:This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.

       

      This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.


      Imprint Name:World Scientific Publishing Co Pte Ltd
      Publisher Name:World Scientific Publishing Co Pte Ltd
      Country of Publication:GB
      Publishing Date:2017-02-03

      Additional information

      Weight494 g
      Dimensions235 × 152 × 19 mm