A Non-Least Squares Approach to Linear Models

Mike Jacroux (Autor)

Buch | Hardcover

196 Seiten

2023 | Unabridged edition
Cambridge Scholars Publishing (Verlag)
9781527592445 (ISBN)

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This book provides a unifying framework which can be used to apply many types of linear models used in applications to the analysis of data generated by scientific experiments. While other texts on linear models use least squares as the basis for developing linear estimation theory, this book uses a non-least squares approach for developing the same theory. The benefits of the approach used here are that it allows for the initial consideration of more complex models and it simplifies the proofs of many of the main results given, thus making the book easier to read. In addition, through the use of a concept called "correspondence", the text provides the first formal systematic approach for exploring relationships between different representations for models used to describe the same expectation space assumed for a given data set.

Mike Jacroux obtained an MS in Mathematics from Eastern Washington State University in 1972 and a PhD in Statistics from Oregon State University in 1977. He has held faculty positions at New Mexico State University, the University of Cincinnati, and Washington State University, where he served as Chair of the Statistics Department for 15 years. His primary areas of research interest are optimal experimental design and linear models, and he has written over 100 papers on these subjects.

Erscheinungsdatum	02.03.2023
Verlagsort	Newcastle upon Tyne
Sprache	englisch
Maße	148 x 212 mm
Themenwelt	Mathematik / Informatik ► Mathematik
Themenwelt	Naturwissenschaften
ISBN-13	9781527592445 / 9781527592445
Zustand	Neuware