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      An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics: A Replicable Approach Using R

      3 in stock

      Firm sale: non returnable item
      SKU 9781108483407 Categories ,
      Select Guide Rating
      This book provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research. Advanced undergraduate students, graduate students, and faculty wishing to keep abreast of this field will find this resource more accessible tha...

      £44.99

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      Description

      Product ID:9781108483407
      Product Form:Hardback
      Country of Manufacture:US
      Title:An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics
      Subtitle:A Replicable Approach Using R
      Authors:Author: Jeffrey S. Racine
      Page Count:434
      Subjects:Econometrics and economic statistics, Econometrics
      Description:Select Guide Rating
      This book provides theory, open source R implementations, and the latest tools for reproducible nonparametric econometric research. Advanced undergraduate students, graduate students, and faculty wishing to keep abreast of this field will find this resource more accessible than similar books.
      Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine''s earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git.
      Imprint Name:Cambridge University Press
      Publisher Name:Cambridge University Press
      Country of Publication:GB
      Publishing Date:2019-06-27

      Additional information

      Weight1078 g
      Dimensions185 × 260 × 25 mm