Tensor Methods in Statistics: Second Edition (Paperback)

.Peter Mccullagh

ISBN 10: 0486823784 / ISBN 13: 9780486823782

Verlag: Dover Publications Inc., New York, 2018

Beschreibung

Paperback. A pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work begins with the study of multivariate moments and cumulants. An invaluable reference for graduate students and professional statisticians, it requires some knowledge of linear algebra, eigenvalue decompositions, linear models, and, for later chapters, likelihood functions and likelihood ratio statistics. More than 200 exercises throughout the book are an integral part of the text. AUTHOR: Peter McCullagh studied at The University of Birmingham and received his Ph.D. from Imperial College, London. He is the John D. MacArthur Distinguished Service Professor in the Department of Statistics and the College at The University of Chicago. He is also the co-author (with John Nelder) of Generalized Linear Models (Chapman and Hall, 1983, second edition 1989) which received the inaugural Karl Pearson Prize from the International Statistics Institute. He is a member of The Royal Society (UK) and The American Academy of Arts and Sciences. A pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work begins with the study of multivariate moments and cumulants. An invaluable reference for graduate students and professional statisticians. 1987 edition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9780486823782

Bibliografische Details

• Titel: Tensor Methods in Statistics: Second Edition (Paperback)
• Verlag: Dover Publications Inc., New York
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 0486823784
• ISBN-13: 9780486823782
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

A pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work begins with the study of multivariate moments and cumulants. An invaluable reference for graduate students and professional statisticians, it requires some knowledge of linear algebra, eigenvalue decompositions, linear models, and, for later chapters, likelihood functions and likelihood ratio statistics. More than 200 exercises throughout the book are an integral part of the text. 1987 edition.

Über die Autorin bzw. den Autor

Peter McCullagh studied at The University of Birmingham and received his Ph.D. from Imperial College, London. He is the John D. MacArthur Distinguished Service Professor in the Department of Statistics and the College at The University of Chicago. He is also the co-author (with John Nelder) of Generalized Linear Models (Chapman and Hall, 1983, second edition 1989) which received the inaugural Karl Pearson Prize from the International Statistics Institute. He is a member of The Royal Society (UK) and The American Academy of Arts and Sciences.