Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Name: Handbook for Applied Modeling: Non-Gaussian and Correlated Data
Brand: Cambridge University Press
Price: 39.89 EUR
Availability: InStock

★★★★★

English

By (author): Jamie D. Riggs Trent L. Lalonde

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for their own data analysis needs. Data, R, and SAS scripts can be found online at http://www.spesi.org. See more

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A01=Jamie D. RiggsA01=Trent L. LalondeAge Group_UncategorizedAuthor_Jamie D. RiggsAuthor_Trent L. Lalondeautomatic-updateCategory1=Non-FictionCategory=PBTCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€20 to €50PS=Activesoftlaunch

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Product Details

Weight: 480g
Dimensions: 178 x 254mm
Publication Date: 14 Jul 2017
Publisher: Cambridge University Press
Publication City/Country: United Kingdom
Language: English
ISBN13: 9781316601051

About Jamie D. RiggsTrent L. Lalonde

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. Trent L. Lalonde is Associate Professor of Applied Statistics at the University of Northern Colorado and Director of the University's Research Consulting Lab. He has spent a number of years designing and teaching graduate courses covering statistical methods for students in diverse areas such as special education psychological sciences and public health. In addition he has helped direct dissertations in these areas and has consulted with numerous faculty on publications and funding proposals. He has received awards for both instruction and advising and has Chaired the Applied Public Health Statistics section of the American Public Health Association.