Walter Piegorsch - University of Arizona

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Walter W. Piegorsch

Professor of Mathematics
Professor, BIO5 Institute
Professor of Public Health
Member, Graduate Interdisciplinary Program in Statistics & Data Science
Affiliated Faculty, Southwest Environmental Health Sciences Center (SWEHSC)
Affiliated Faculty, Center for Biomedical Informatics & Biostatistics (CB2)

$*$ Link to my Curriculum Vitae
$*$ Courses taught
$*$ Text, Reference, and Book Resources:

John Wiley & Sons:

Analyzing Environmental Data textbook (2005)

The Encyclopedia of Environmetrics (2nd edn., 2012)

Wiley StatsRef: Statistics Reference Online (2014-present)

Statistical Data Analytics textbook (2015) and Companion/Support Website

Computational Statistics in Data Science compendium (2022)

Chapman & Hall/CRC:

Statistics for Environmental Biology and Toxicology (1997)

$*$ Selected Society Sites:

International Biometric Society

Western North American Region

American Statistical Association

Section on Statistics & the Environment

Section on Risk Analysis

Section on Statistical Learning and Data Science
The International Environmetrics Society
The International Statistical Institute

$*$ Selected Scientific Journals:

Biometrics
Environmental and Ecological Statistics
Environmetrics
Journal of Agricultural, Biological, and Environmental Statistics
Journal of the American Statistical Association
Statistical Science

$*$ Other Internet Statistics resources:

The Statistics and Data Science Views webpage
The World of Statistics webpage
The StatLib Data and Story Library (DASL) search page from Carnegie Mellon University
The R Project for Statistical Computing main website and the Google R Style Guide

$*$ Contact information:

Mail:
GIDP in Statistics

BIO5 Institute

University of Arizona

Tucson, AZ 85721, USA

email:
piegorsch _at_ math _dot_ arizona _dot_ edu

Telephone:
520-621-2357

FAX:
520-626-4824

Some thoughts:

"Every good story leaves the reader wanting more. Every great story leaves them imagining more."

"It's a mistake to think that 1 success equates to 0 failures, and vice versa."

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Last updated January 2023.