A Computer Evolution in Teaching Undergraduate Time Series

Hodgess, Erin M.

doi:10.1080/10691898.2004.11910633

Cited by 4 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So, it's recommended that the user has already worked with this program. Some books and articles that can be useful for this propose are: A Computer Evolution in Teaching Undergraduate Time Series (Hodgess, 2004); Fun with the R Grid Package (Zhou & Braun, 2010); An Introduction to R (R Core Team, 2015); R in a Nutshell (Adler, 2009); A First Course in Statistical Programming with R (Braun & Murdoch, 2008); Introductory Statistics with R (Dalgaard, 2008); Análise de Séries Temporais em Rum curso introdutório (Ferreira et. al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Using R to Teach Seasonal Adjustment

Ferreira

Mattos

2016

Cadernos Do IME - Série Estatística

View full text Add to dashboard Cite

This article shows, using R software, how to seasonally adjust a time series using the X13-ARIMA-SEATS program and the seasonal package developed by Christoph Sax. In addition to presenting step-by-step seasonal adjustment, the article also explores how to analyze the program output and how to forecast the original and seasonally adjusted time series. A case study was proposed using the Brazilian industrial production. It was verified that the effect of Carnival, Easter and working days improved the seasonal adjustment when treated by the model.

show abstract

Section: Introductionmentioning

confidence: 99%

Using R to Teach Seasonal Adjustment

Ferreira

Mattos

2016

Cadernos Do IME - Série Estatística

View full text Add to dashboard Cite

show abstract

“…Research on students' learning in statistics has often been oriented around investigations of specific learning environments [2,3], the educational effects of assessment [4] and the impact of students' attitudes towards the subject [5]. Some studies discuss students' ideas of specific topics [6] or teachers' ideas of teaching specific topics [7]. There have been reports on the topic of enhancing service statistics education by using case studies and projects [8], or industrial settings and applications [9].…”

Section: Introductionmentioning

confidence: 99%

Something strange and useless: service students’ conceptions of statistics, learning statistics and using statistics in their future profession

Petocz

Reid

2005

International Journal of Mathematical Education in Science and

View full text Add to dashboard Cite

We investigate the views of service students about statistics, learning statistics and using statistics in their future profession, based on information obtained from a series of interviews analysed using a phenomenographic approach. In previous studies, we have described statistics major students' conceptions of their subject and their learning. Our main conclusion is that, contrary to expectations, service students show the same range of variation in their views as do statistics major students. We examine the implications of our findings for the development of pedagogical approaches and learning materials that help students in such situations learn statistics effectively, and enhance their use of statistics as a tool in their future professional lives.

show abstract

“…In this author's opinion, this is R's primary drawback for usage at the introductory level. Still R has its advocates, as illustrated by Hodgess (2004) in this journal.…”

Section: Introductionmentioning

confidence: 99%