Wiley Series in Probability and Statistics - Applied Probability and Statistics Section
1 total work
The main objective of this text is to describe general procedures of estimation and hypothesis testing for linear statistical models and shows their application for unbalanced data (i.e., unequal-subclass-numbers data) to certain specific models that often arise in research and survey work. In addition, three chapters are devoted to methods and results for estimating variance components, particularly from unbalanced data. Exercises are provided throughout the chapter that will enable the reader to practice and become familiar with the techniques described.