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School of Statistics  [689]

Persistent link to this collection: http://hdl.handle.net/11299/37067

Statistics is the science of learning from data. Statisticians collect, organize, analyze, interpret, and present data. We are constantly seeking better ways to do that in more and more challenging situations, using mathematics, computing, and insight. People use statistics in business, industry, medicine, government, and scientific research.

The School of Statistics at the University of Minnesota Twin Cities Campus is a leading center of statistical practice, education, and research. The School has about 19 faculty members and 60 graduate students. We offer programs leading to BA, BS, MS and PhD. degrees.

The collections for School of Statistics include items from its predecessor, the University of Minnesota Department of Statistics.


Recently Added

Aster Models for Life History Analysis

Geyer, Charles J; Wagenius, Stuart; Shaw, Ruth G (School of Statistics, University of Minnesota, 2005-09-05)
We present a new class of statistical models designed for life history analysis of plants and animals. They allow joint analysis of data on survival and reproduction over multiple years, allow for variables having different ...

Likelihood Ratio Tests and Inequality Constraints

Geyer, Charles J. (School of Statistics, University of Minnesota, 1995-12-18)
In likelihood ratio tests involving inequality-constrained hypotheses, the Neyman-Pearson test based on the least favourable parameter value in a compound null hypothesis can be extremely conservative. The ordinary parametric ...

User's Manual for bmmp S-PLUS/R Software

Pardoe, Iain (2001-06-08)

MacAnova Reference Manual

Bingham, Christopher; Oehlert, Gary W. (1997-09)

MacAnova User's Guide

Oehlert, Gary W.; Bingham, Christopher (1997-03)

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