Linear Model Theory: Univariate, Multivariate, and Mixed Models

"This text successfully offers a unified context for the theory of univariate, multivariate, and mixed modeling settings and may be useful supplemental text for individuals interested in multivariate modeling." (Journal of the American Statistician, December 2008)

"I believe that this text provides an important contribution to the long-memory time series literature.  I feel that it largely achieves its aims and could be useful for those instructors wishing to teach a semester-long special topics course … .I strongly recommend this book to anyone interested in long-memory time series.  Both researchers and beginners alike will find this text extremely useful." (Journal of the American Statistician, December 2008)

"The book will certainly be useful for Ph.D. students and researchers in biostatistics who want to learn a little bit of theory of linear models." (Mathematical Reviews, 2007)

"...stands out from the others...will certainly have its enthusiastic supporters." (Biometrics, March 2007)

"…an excellent book for graduate students and professional researchers." (MAA Reviews, February 2007)

"The focus of this book is on linear models with correlated observations and Gaussian errors." (Zentralblatt MATH, April 2007)