Jamie D. Riggs (Illinois Northwestern University), Trent L. Lalonde (University of Northern Colorado)

Broschiertes Buch

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Beschreibung

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.

Autor

Jamie D. Riggs is an adjunct lecturer in the Predictive Analytics program at Northwestern University, Illinois. She specializes in the statistical issues of solar system cratering processes, solar physics, and galactic dynamics, and has collaborated with researchers at the Los Alamos National Laboratory, New Mexico and the Southwest Research Institute, Texas. She has held technical and managerial positions at Sun Microsystems, Inc., National Oceanic and Atmospheric Administration, and the Boeing Company, where she applied advanced statistical designs and analyses to manufacturing and business problems. She is the Solar System and Planetary Sciences Section Head of the International Astrostatistics Association.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 228
• Erscheinungstermin: 14. Juli 2017
• Englisch
• Abmessung: 258mm x 179mm x 13mm
• Gewicht: 254g
• ISBN-13: 9781316601051
• ISBN-10: 1316601056
• Artikelnr.: 48534053