Good+; Hardcover; Withdrawn library copy with the standard library markings; Covers are still glossy; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 1.2 lbs; Dark green covers with title in white lettering; 1987, Chapman & Hall Publishing; 288 pages; "Tensor Methods in Statistics (Monographs on Statistics and Applied Probability)," by P. McCullagh.

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Detalles bibliogr�ficos

T�tulo: Tensor Methods in Statistics (Monographs on Statistics and Applied Probability)
Editor: Chapman & Hall Publishing
Fecha de publicaci�n: 1987
Idioma: Ingl�s
ISBN 10: 0412274809
ISBN 13: 9780412274800
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: Good

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Sinopsis

This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants. The effect on moment arrays and on cumulant arrays of making linear or affine transformations of the variables is studied. Because of their importance in statistical theory, invariant functions of the cumulants are studied in some detail. This is followed by an examination of the effect of making a polynomial transformation of the original variables. The fundamental operation of summing over complementary set partitions is introduced at this stage. This operation shapes the notation and pervades much of the remainder of the book. The necessary lattice-theory is discussed and suitable tables of complementary set partitions are provided. Subsequent chapters deal with asymptotic approximations based on Edgeworth expansion and saddlepoint expansion. The saddlepoint expansion is introduced via the Legendre transformation of the cumulant generating function, also known as the conjugate function of the cumulant generating function. A recurring them is that, with suitably chosen notation, multivariate calculations are often simpler and more transparent than the corresponding univariate calculations. The final two chapters deal with likelihood ratio statistics, maximum likelihood estimation and the effect on inferences of conditioning on ancillary or approximately ancillary statistics. The Bartlett adjustment factor is derived in the general case and simplified for certain types of generalized linear models. Finally, Barndorff-Nielsen's formula for the conditional distribution of the maximum liklelihood estimator is derived and discussed. More than 200 Exercises are provided to illustrate the uses of tensor methodology.

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Thank you for taking an interest in one of our books. We are a mail-order only bookstore located in Bellingham, WA specializing in modern out-of-print books of all genres.

If you are an international customer, we ship internationally by UPS Worldwide Expedited. The average delivery time is 1 to 2 weeks, and each shipment can be fully tracked at www.ups.com. For international shipments, it is important to provide a valid phone number with your order. Most international shipments are delivered wit...

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