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Publicado por Dover Publications Inc., 2018
ISBN 10: 0486823784 ISBN 13: 9780486823782
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Publicado por Dover Publications Inc., New York, 2018
ISBN 10: 0486823784 ISBN 13: 9780486823782
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Añadir al carritoPaperback. Condición: new. 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 multiple locations in the US or from the UK, depending on stock availability.
Publicado por Dover Publications Inc. 2018-08-31, 2018
ISBN 10: 0486823784 ISBN 13: 9780486823782
Idioma: Inglés
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Añadir al carritoPaperback. Condición: Brand New. 2nd revised updated edition. 279 pages. 8.75x6.00x0.75 inches. In Stock.
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Añadir al carritoPaperback. Condición: Brand New. 2nd revised updated edition. 279 pages. 8.75x6.00x0.75 inches. In Stock.
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Publicado por Dover Publications Inc., New York, 2018
ISBN 10: 0486823784 ISBN 13: 9780486823782
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Dover Publications Inc., New York, 2018
ISBN 10: 0486823784 ISBN 13: 9780486823782
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. 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.
Publicado por Dover Publications Inc. Aug 2018, 2018
ISBN 10: 0486823784 ISBN 13: 9780486823782
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 21,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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.