Reference texts

There is no prescribed text for MTH 332 Mathematical Statistics.

However, some useful references (containing information relevant to some of the later assignments, plus help in using R and Mathematica) are:

(1) Modern Statistics with R. From wrangling and exploring data to inference and predictive modelling, by Måns Thulin (Online book)

(2) Statistics Using R with Biological Examples, by Kim Seefeld & Ernst Linder (available as a PDF: click on link )

(3) Stat Labs: Mathematical Statistics Through Applications, by Deborah Nolan & Terry Speed (available as a PDF: click on link )

(4) An Introduction to Statistical Learning: with Applications.

There are two freely available versions of the book, one utilizing the R programming language, the other utilizing Python:

“An Introduction to Statistical Learning: with Applications in R“

“An Introduction to Statistical learning: with Applications in Python“

Also, see here for data files and resources mentioned throughout the text,

The authors have established a book website with extra material, including data sets and code.

(5) Mathematica for the Statistics Classroom, by Craig Bauling – this is a video.

(6) Computational Statistics Using R and R Studio An Introduction for Scientists, by Randall Pruim