Statistics 533
Department of Statistics
Iowa State University

This page is always under construction!

Click here to see the Statistics 533 syllabus.

Click here for information on the Statistics 533 text book.

Click here for information survival analysis books and a few other references.

There are always a number of students in our class with interests in applications in the biomedical sciences. As mentioned in class, there is a close connection between the statistical methods used in this course and those used in the bio-medical sciences, where the subject is known as "survival analysis." Nonparametric methods seem to be favored in this area. The reasons for this are, perhaps, that there is often more data and less need to extrapolate. Many reliability applications require extrapolation in one dimension or another and thus the need for parametric models, often based on knowledge of the physical/chemical mechanisms underlying failure.

Click here to download the alpha version of RSPLIDA.

Click here to download the alpha version of for use on the Department of Statistics terminal servers RSPLIDA.

Many of the course handouts are provided on-line in pdf format. Please make sure that you have a version of Acrobat Reader on your computer. The latest version is available for free download from Adobe . Older versions of Acrobat Reader may not view or print correctly.

Click to see and/or print the six-to-a-page "psnup" slide material:

These "psnups" are useful as as an outline of the Meeker and Escobar text and as student notes for a course based on this book. Click here to see restrictions on copying.

I recommend that students print these out only as we approach the respective chapters during the semester. This is because I expect to be updating some of the chapters during the semester, usually about two weeks before they are needed in the class. The changes will not be extensive, but could affect the page numbering. Also, not all chapters are covered in the course. See the Statistics 533 syllabus for a listing of the chapters that are covered.

Full-sized Slides.

It is also possible view or print copies of the full-sized slides (mostly useful for the instructor, but can also be used to get a better view of some of the figures). Click here to access the full-size slides.

Click here to see some old exams.

Click here to see some old exam solutions (posted 24 hours before the exam).

Click here to see the Statistics 533 important dates.

Click here to see the Statistics 533 the assignment policy.

Click here to see the Statistics 533 project information.

Click here to see the Statistics 533 the grading policy.

Data files

Click here to get to the ftp site containing a collections of data sets from which I will choose in preparing assignments. Let me know if you have trouble using any of these data sets. All of the data sets should be in the Splida_text_data folder in either white-space delimited form or tab-delimited form (I am slowly converting all white-space delimited files to tab delimited). Only selected data sets are available in Excel or JMP formats, but the number of such files will continue to grow over time. The file DataDescriptions.doc in the Splida_excel_data folder provides the source of each data set and indicates where it is used in Meeker and Escobar (1998). This file, however, is not yet completely up to date, as new data sets are being added all the time and the index is not keeping up.

Click here to download the zip file containing some course data sets in Excel files and JMP data files.

Click here to see the reported errors.

IMPORTANT NEWS: Any corrections and updates for Statistics 533 students will be posted here. Please inform me as soon as possible if you detect any inconsistencies or other errors in text, lecture notes or the assignments.

Some links to other sites with information about reliability.

Students with disabilities
Please address any special needs or special accommodations with me at the beginning of the semester or as soon as you become aware of your needs. Those seeking accommodations based on disabilities should obtain a Student Academic Accommodation Request (SAAR) form from the Disability Resources (DR) office (515-294-6624). DR is located on the main floor of the Student Services Building, Room 1076.
Send electronic mail to W. Q. Meeker at

Click here to go to W.Q. Meeker's homepage.