Business 2016 Los Alamos Self-Study & Documents

UNM Los Alamos Business self-study report, review team report, comments from the dean, and response to review report for Spring 2016

General Studies 2016 Los Alamos Self-Study & Documents

UNM Los Alamos General Studies self-study report, review team report, comments from the dean, and response to review report for Spring 2016

Elementary Education 2017 Los Alamos Self-Study & Documents

UNM Los Alamos Elementary Education self-study report, comments from the dean, and response to review report for Fall 2017

Information Technology 2017 Los Alamos Self-Study & Documents

UNM Los Alamos Information Technology self-study report and comments from the dean for Fall 2017

Fine Arts 2016 Los Alamos Self-Study & Documents

UNM Los Alamos Fine Arts self-study report, review team report, comments from the dean, and response to review report for Spring 2016

Quantifying reliability uncertainty : a proof of concept.

This paper develops Classical and Bayesian methods for quantifying the uncertainty in reliability for a system of mixed series and parallel components for which both go/no-go and variables data are available. Classical methods focus on uncertainty due to sampling error. Bayesian methods can explore both sampling error and other knowledge-based uncertainties. To date, the reliability community has focused on qualitative statements about uncertainty because there was no consensus on how to quantify them. This paper provides a proof of concept that workable, meaningful quantification methods can be constructed. In addition, the application of the methods demonstrated that the results from the two fundamentally different approaches can be quite comparable. In both approaches, results are sensitive to the details of how one handles components for which no failures have been seen in relatively few tests

Communications 2016 Los Alamos Self-Study & Documents

UNM Los Alamos Communications self-study report, review team report, comments from the dean, and response to review report for Spring 2016

Applied Science 2016 Los Alamos Self-Study & Documents

UNM Los Alamos Applied Science self-study report, review team report, comments from the dean, and response to review report for Spring 2016