Prepared by Dr. Myron Hlynka, University of Windsor.

Last update: November 2, 2017.

Here are some notes for stat courses that I find to be well written. There are many more sets of course notes on the web. Do your own search for the topic you are interested in.

- Penn State has a lot of online stat courses. This is a fantastic
resource.

Stat 200 Intro Stat

Stat 414/415 Calculus based Intro to Probability and Math Stat

Stat 461 ANOVA

Stat 462 Regression

Stat 464 Nonparametrics

Stat 480 SAS

Stat 481 SAS Intermediate

Stat 482 SAS Advanced

Stat 484 Topics in R

Stat 485 Intermediate R

Stat 500 Applied Stat

Stat 501 Regression

Stat 502 Analysis of Variance

Stat 503 Design of Experiemnts

Stat 504 Count Data

Stat 505 Applied Multivariate Stat

Stat 506 Sampling

Stat 507 Epidemiological Methods

Stat 509 Clinical Trials

Stat 510 Time Series

Stat 897D Data Mining/Stat Learning

Stat 555 Stat Analysis of Genomic Data

Stat 800 Intro to Applied Stat

- Electronic Statistics Book, from Dell. Applied Stat, design,
multivariate, data mining, and more.

http://www.statsoft.com/Textbook -
Engineering Statistics Handbook. Lots of topics.

http://www.itl.nist.gov/div898/handbook/ - Statistical Analysis Handbook - (c) 2015 Dr M J de Smith

http://www.statsref.com/HTML/ - Sudy Design 101. Intro to medical statistical terminology.

https://himmelfarb.gwu.edu/tutorials/studydesign101/ - Marcel Finan. Arkansas Tech Univ. He has prepared extensive
quality notes on SOA actuarial exams P, FM, MFE, MLC, and C.
Huge amount of work. Thanks.

http://faculty.atu.edu/mfinan/actuaries.html - Daniel Hall. U of Georgia. Lots of notes on
courses
Regression, Design, Multivariate, contegorical, etc.

https://faculty.franklin.uga.edu/dhall/content/courses - Angelo Canty course notes. McMaster University. Notes on Appl
Regression, Computational
Inference, Stat Foundations.

http://ms.mcmaster.ca/canty/http://ms.mcmaster.ca/canty/ - Richard Lockhart. Univ British Columbia.
Course notes in
time series, sampling, linear models, appl prob, stoch processess,
multivariate, math stat.

http://people.stat.sfu.ca/~lockhart/Teaching/Teaching.html#nav - Dr. Karen Buro. MacEwan University.

Count Data, Regression, Anova.

https://academic.macewan.ca/burok/ - The Analysis Factor is a collection of resources, mainly free, some
requiring sign-up, some not, by a team of statistical consultants, led by
Karen Grace-Martin. note especially the Statistical Resources by Topic in
lower right corner. The articles can generally be viewed without sign-up,
and are very good.

http://www.theanalysisfactor.com/ - Cross Validated is a site where people pose
[research/conceptual] statistics questions and
others respond. Nice to know such a site exists.
It's interesting to search for your topic of interest.

http://stats.stackexchange.com/ -
Introducing Monte Carlo Methods with R, slides by Christian P. Robert and George Casella. 239 pp.

http://www.stat.ufl.edu/archived/casella/ShortCourse/MCMC-UseR.pdf - Peter McCullagh notes on Cumulants, 6 pp.

http://www.stat.uchicago.edu/~pmcc/courses/stat306/cumulants.pdf - Probability Notes by Peter Cameron, Queen Mary University of
London, 86 pp., intro calculus based math stat course.

http://www.maths.qmul.ac.uk/~pjc/notes/prob.pdf - John Braun. Univ of British Columbia. Naive data Analysis. Grad level.

http://www.stats.uwo.ca/faculty/braun/ss9924/additionalnotes/naiveSmoothing.pdf -
Applied Statistical Methods. Larry Winner. University of Florida

http://www.stat.ufl.edu/~winner/statnotescomp/appstat.pdf - Survival Analysis. Eric Wolsztynski & Jian Huang. University College
Cork, Ireland.

http://euclid.ucc.ie/pages/staff/Eric/st3054/st3054_slides.pdf - Econometrics. Bruce E. Hansen. University of Wisconsin.
Book
manuscript.

http://www.ssc.wisc.edu/~bhansen/econometrics/Econometrics.pdf - Nonparametrics. Philip Stark. U. California- Berkeley.

https://www.stat.berkeley.edu/~stark/Teach/S240/Notes/index.htm - Mathematical statistics, Lecture notes by Janet Godolphin. University
of Surrey.

http://personal.maths.surrey.ac.uk/st/D.Terhesiu/ms237/ms237.pdf - The Analysis of Data: Part 1 (Probabiblity). Guy Lebanon. Amazon.

http://theanalysisofdata.com/probability/ -
Multivariate Statistics. 3rd Web Edition.
David W. Stockburger, Missouri State University

http://www.psychstat.missouristate.edu/multibook/mlt00.htm - Multivariate Statistics. Doug Wiens. U of Alberta.

http://www.mathstat.ualberta.ca/~wiens/stat575/stat575.html -
Xing Su. Johns Hopkins. Regression and other topics. Includes R commands.

http://sux13.github.io/DataScienceSpCourseNotes/ - Regression. Walter W. Piegorsch.
University of Arizona. Slides and notes based on Kutner et al.

http://math.arizona.edu/~piegorsch/571A/STAT571A.Fall14.html - Categorical Data Analysis. Alan Agresti. U of Florida

http://www.stat.ufl.edu/~aa/sta4504/notes.pdf - Categorical Data Analysis. Christopher Adolph. University of
Washington (Seattle). Slides.

http://faculty.washington.edu/cadolph/mle/topic1.p.pdf - Inference. Larry Wasserman. CMU.

http://www.stat.cmu.edu/~larry/=stat705/ - Jeff Hart's notes on Chapters 6-10 of Casella and Berger's Inference book.

http://www.stat.tamu.edu/~hart/611/611.html - Sampling. Kristofer Jennings Purdue.

http://www.stat.purdue.edu/~jennings/stat522/ -
Sampling. Shalab. IIT (Kanpur)

http://home.iitk.ac.in/~shalab/course1.htm - Sampling. Carl Schwartz. Simon Fraser Univ.

http://people.stat.sfu.ca/~cschwarz/Stat-650/Notes/PDFbigbook-R/R-part004.pdf - "Random" site from Univ of
Alabama, Huntsville. Devoted to probability
and math stat.

http://www.math.uah.edu/stat/ - Measure Theoretic Probability. Amir Dembo.

http://statweb.stanford.edu/~adembo/stat-310a/lnotes.pdf - Richard Bass notes on Grad Probability, undergrad probability,
stochastic processes, etc.

http://bass.math.uconn.edu/lecture.html -
Time Series Analysis, Anna Mikusheva, MIT.

http://ocw.mit.edu/courses/economics/14-384-time-series-analysis-fall-2013/lecture-notes/ -
Time Series. Eric Wolsztynski. University College Cork, Ireland

http://euclid.ucc.ie/pages/staff/Eric/st4064/ST6006/ST6006_TSA_notes.pdf - Time series. Bartlett. U. Cal. Berkeley.

http://www.stat.berkeley.edu/~bartlett/courses/153-fall2010/ -
Statistical Design, slides by George Casella. 190 pp.

http://www.stat.ufl.edu/archived/casella/ShortCourse/SDSC11-1.pdf - Design of Experiments. Gary Oehlert. U of Minnesota. Book.

http://users.stat.umn.edu/~gary/book/fcdae.pdf - Design of Experiments. John Grego. U of South Carolina.

http://people.stat.sc.edu/grego/courses/stat506/ - Design of Experiments. Jeff Wu. Georgia Tech.

http://www2.isye.gatech.edu/~jeffwu/isye6413/ -
Introduction to Stochastic Processes.
Gordan Zitkovic. The University of Texas at Austin

https://www.ma.utexas.edu/users/gordanz/notes/introduction_to_stochastic_processes.pdf -
Notes on Stochastic Processes. Kiyoshi Igusa. Brandeis University.

http://people.brandeis.edu/~igusa/Math56F06/Math56a_lectures.pdf

Thanks for visting the site. Suggestions are welcome. Prepared by

Dr. Myron Hlynka, University of Windsor.