Browsing by Subject "R (Computer program language)"

Now showing items 1-12 of 12

    • Applied econometrics with R 

      Kleiber, Christian; Zeileis, Achim (Springer, 2008)
      This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for ...

    • Bayesian essentials with R 

      Marin, Jean-Michel; Robert, Christian P. (Springer, 2014)
      This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called ...

    • Data science and predictive analytics : biomedical and health applications using R 

      Dinov, Ivo D. (Springer, 2018)
      Exposing the enormous opportunities presented by the tsunami of Big data, this textbook aims to identify specific knowledge gaps, educational barriers, and workforce readiness deficiencies. Specifically, it focuses on the ...

    • Discovering statistics using R 

      Field, Andy; Miles, Jeremy; Field, Zoë (SAGE Publications, 2012)
      The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written ...

    • Foundations and applications of statistics : an introduction using R 

      Pruim, Randall J. (American Mathematical Society, 2018)
      Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability ...

    • Handbook of statistics 42 : financial, macro and micro econometrics using R 

      Vinod, Hrishikesh D. (editor); Rao, C. R. (editor) (North-Holland, 2020)
      This book provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, ...

    • Hands-on data analysis in R for finance 

      Collard, Jean-François (CRC Press, 2023)
      "The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad ...

    • Introduction to data science : data analysis and prediction algorithms with R 

      Irizarry, Rafael A. (CRC Press, 2019)
      This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you ...

    • Quantitative economics with R : a data science approach 

      Dayal, Vikram (Springer, 2020)
      This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts ...

    • Statistical analysis and data display : an intermediate course with examples in R 

      Heiberger, Richard M.; Holland, Burt (Springer, 2015)
      The second edition features new chapters, sections and revisions. New chapters cover Likert Scale Data to build on the importance of rating scales in fields from population studies to psychometrics. This book can serve as ...

    • Time series analysis and its applications : with R examples 

      Shumway, Robert H.; Stoffer, David S. (Springer, 2017)
      The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using ...

    • Using R for introductory econometrics 

      Heiss, Florian (CreateSpace Independent Publishing Platform, 2020)
      This book introduces the popular, powerful and free programming language and software package R with a focus on the implementation of standard tools and methods used in econometrics. Unlike other books on similar topics, ...