![]() ![]() The above output also shows the package versions we have used in compiling this edition of the book. These include several tidyverse packages, and packages to handle time series and forecasting in a “tidy” framework. This will load the relevant data sets, and attach several packages as listed above. #> ✖ tsibble::union() masks base::union() #> ✖ tsibble::setdiff() masks base::setdiff() ![]() #> ✖ tsibble::interval() masks lubridate::interval() #> ✖ tsibble::intersect() masks base::intersect() #> ✖ dplyr::filter() masks stats::filter() ![]() #> ✖ lubridate::date() masks base::date() See the Using R appendix for instructions on installing and using R.Īll R examples in the book assume you have loaded the fpp3 package first: It is a wonderful tool for all statistical analysis, not just for forecasting. R is free and available on almost every operating system. We use R throughout the book and we intend students to learn how to forecast with R. Where there is no suitable textbook, we suggest journal articles that provide more information. In general, these lists comprise suggested textbooks that provide a more advanced or detailed treatment of the subject. There are a couple of sections that also require knowledge of matrices, but these are flagged.Īt the end of each chapter we provide a list of “further reading”. We use it ourselves for masters students and third-year undergraduate students at Monash University, Australia.įor most sections, we only assume that readers are familiar with introductory statistics, and with high-school algebra. The book is written for three audiences: (1) people finding themselves doing forecasting in business when they may not have had any formal training in the area (2) undergraduate students studying business (3) MBA students doing a forecasting elective. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will fill in many of those details. This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. Welcome to our online textbook on forecasting.
0 Comments
Leave a Reply. |