Synopsis
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.
"synopsis" may belong to another edition of this title.
About the 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.
"About this title" may belong to another edition of this title.
Search results for Tensor Methods in Statistics: Second Edition (Dover...
Stock Image
Tensor Methods in Statistics Format: Trade Paper
Seller: INDOO, Avenel, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Brand New. Seller Inventory # 9780486823782
Stock Image
Tensor Methods in Statistics: Second Edition (Paperback)
Published by
Dover Publications Inc., New York, 2018
ISBN 10: 0486823784
ISBN 13: 9780486823782
New
Paperback
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: 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. Seller Inventory # 9780486823782
Stock Image
Tensor Methods in Statistics: Second Edition
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 2nd revised updated edition. 279 pages. 8.75x6.00x0.75 inches. In Stock. Seller Inventory # 0486823784
Buy New
£ 24.73
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Tensor Methods in Statistics: Second Edition (Paperback)
Published by
Dover Publications Inc., New York, 2018
ISBN 10: 0486823784
ISBN 13: 9780486823782
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: 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. Seller Inventory # 9780486823782
Seller Image
Tensor Methods in Statistics: Second Edition (Paperback)
Published by
Dover Publications Inc., New York, 2018
ISBN 10: 0486823784
ISBN 13: 9780486823782
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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. Seller Inventory # 9780486823782
Buy New
£ 30.49
£ 37 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available