This book explores measurement error models and discusses functional and structural models as well as the more general ultrastructural model. It offers an intermediate level survey of the field of measurement error models without too much mathematical detail, making the book accessible to a wide range of readers.
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Providing a general survey of the theory of measurement error models, including the functional, structural, and ultrastructural models, this book is written in the of the Kendall and Stuart Advanced Theory of Statistics set and, like that series, includes exercises at the end of the chapters. The goal is to emphasize the ideas and practical implications of the theory in a style that does not concentrate on the theorem-proof format.
Chi-Lun Cheng is at Institute of State Science, Taiwan. John W. Van Ness is at University of Texas.
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