Generalized Linear Models: With Applications in Engineering and the Sciences
Editorial Reviews
Review
"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)
"...an excellent, up-to-date introduction to the field...easily used as a user guide...those less mathematically minded have no need to fear this book... I recommend this book to you all and am delighted to have had the opportunity to review it." (Statistical Methods in Medical Research, Vol. 11, 2002)
"...a good textbook…a good reference..." (The American Statistician, Vol. 57, No. 1, February 2003)
Mathematical Reviews, 2002j
"...recommended for students, engineers, scientists, and statisticians who want to familiarize themselves with generalized linear models."
Generalized Linear Models: With Applications in Engineering and the Sciences
Generalized Linear Models: With Applications in Engineering and the Sciences,Raymond H. Myers,Douglas C. Montgomery,G. Geoffrey Vining,Wiley-Interscience,0471355739,Applied,Linear models (Statistics),Mathematical Statistics,Mathematics,Probability & Statistics - General,Probability & Statistics - Multivariate Analysis,Science/Mathematics,Linear algebra,Mathematics / Statistics,Probability & statistics
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