Statistical Regression with Measurement Error: Kendall's Library of Statistics 6
"Overall, the presentation is inviting and the reader can expect to gain a good working knowledge of the subject without much tedious effort. The presentation is also kept simple by avoiding the useof tedious mathematical notation. The authors have succeeded well in their goal of "providing a comprehensive coverage of the subject that emphasizes the ideas and the practical implementation of the theory without too great an emphasis on the theorem-proof format." This book is on the top of my list for anyone interested in linear and polynomial measurement error models." -- Sudhir Gupta, Technometrics, Nov 2000, Vol 42, No 4