Generalized Linear Models von Raymond H. Myers | with Applications in Engineering and the Sciences | ISBN 9780471355731

Generalized Linear Models

with Applications in Engineering and the Sciences

von Raymond H. Myers, Douglas C. Montgomery und G. Geoffrey Vining
Mitwirkende
Autor / AutorinRaymond H. Myers
Autor / AutorinDouglas C. Montgomery
Autor / AutorinG. Geoffrey Vining
Buchcover Generalized Linear Models | Raymond H. Myers | EAN 9780471355731 | ISBN 0-471-35573-9 | ISBN 978-0-471-35573-1
„The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy it and experience the excitement of these new approaches to familiar activities.“ (Technometrics, Vol. 44, No. 3, August 2002)„. fulfills the need for an introductory textbook on the generalized linear model.“ (Quarterly of Applied Mathematics, Vol. LX, No. 2, June 2002)„I recommend. to anyone that has an interest. an excellent reference for both the practitioner and the academic alike. the organization, notation, and illustrative examples are well thought out, making this a fun text to read.“ (IIE Transactions in Operations Engineering)„. recommended for students, engineers, scientists, and statisticians who want to familiarize themselves with generalized linear models.“ (Mathematical Reviews, 2002j) „. fulfills the need for an introductory textbook on the generalized linear model.“ (Quarterly of Applied Mathematics, Vol. LX, No. 2, June 2002)„. recommended for students, engineers, scientists, and statisticians who want to familiarize themselves with generalized linear models.“ (Mathematical Reviews, 2002j)

Generalized Linear Models

with Applications in Engineering and the Sciences

von Raymond H. Myers, Douglas C. Montgomery und G. Geoffrey Vining
Mitwirkende
Autor / AutorinRaymond H. Myers
Autor / AutorinDouglas C. Montgomery
Autor / AutorinG. Geoffrey Vining
Includes thorough treatment of logistic and Poisson regression.
* Introduction to generalized estimating questions.
* Numerous examples in fields ranging from biology and biopharmaceuticals to engineering and quality assurance.
* Provides guidance in using widely available software to illustrate all aspects of model-fitting, inference, and diagnostic testing.