Advanced Linear Models

Explore the intricate world of statistical inference with Advanced Linear Models by Shein-Chung Chow. Published by Taylor & Francis Inc in 1993, this comprehensive hardback edition spans 554 pages, delving deep into the essential concepts of linear models in statistics. This authoritative text covers a wide range of topics, including parameter estimation, hypothesis testing, confidence intervals, and prediction. Designed for applied statisticians and researchers, it expertly discusses the application of statistical theories and methodologies to key linear models, such as linear regression, analysis of variance, analysis of covariance, and variance components. Whether you are a seasoned statistician or a student looking to enhance your understanding of mathematical statistics, Advanced Linear Models is an invaluable resource that combines theory with practical application in the field of probability and statistics.