• Complain

P. McCullagh - Tensor Methods in Statistics: Monographs on Statistics and Applied Probability

Here you can read online P. McCullagh - Tensor Methods in Statistics: Monographs on Statistics and Applied Probability full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2018, publisher: CRC Press, genre: Children. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

P. McCullagh Tensor Methods in Statistics: Monographs on Statistics and Applied Probability
  • Book:
    Tensor Methods in Statistics: Monographs on Statistics and Applied Probability
  • Author:
  • Publisher:
    CRC Press
  • Genre:
  • Year:
    2018
  • Rating:
    4 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 80
    • 1
    • 2
    • 3
    • 4
    • 5

Tensor Methods in Statistics: Monographs on Statistics and Applied Probability: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Tensor Methods in Statistics: Monographs on Statistics and Applied Probability" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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-Nielsens 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.

P. McCullagh: author's other books


Who wrote Tensor Methods in Statistics: Monographs on Statistics and Applied Probability? Find out the surname, the name of the author of the book and a list of all author's works by series.

Tensor Methods in Statistics: Monographs on Statistics and Applied Probability — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Tensor Methods in Statistics: Monographs on Statistics and Applied Probability" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Contents
Page List

MONOGRAPHS ON STATISTICS AND APPLIED PROBABILITY General Editors DR Cox - photo 1

MONOGRAPHS ON STATISTICS AND APPLIED PROBABILITY

General Editors

D.R. Cox, D.V. Hinkley, N. Reid, D.B. Rubin and B.W. Silverman

1 Stochastic Population Models in Ecology and Epidemiology M.S. Bartlett (1960)

2 Queues D.R. Cox and W.L. Smith (1961)

3 Monte Carlo Methods J.M. Hammersley and D.C. Handscomb (1964)

4 The Statistical Analysis of Series of Events D.R. Cox and P.A.W. Lewis (1966)

5 Population Genetics W.J. Ewens (1969)

6 Probability, Statistics and Time M.S. Bartlett (1975)

7 Statistical Inference S.D. Silvey (1975)

8 The Analysis of Contingency Tables B.S. Everitt (1977)

9 Multivariate Analysis in Behavioural Research A.E. Maxwell (1977)

10 Stochastic Abundance Models S. Engen (1978)

11 Some Basic Theory for Statistical Inference E.J.G. Pitman (1978)

12 Point Processes D.R. Cox and V. Isham (1980)

13 Identification of Outliers D.M. Hawkins (1980)

14 Optimal Design S.D. Silvey (1980)

15 Finite Mixture Distributions B.S. Everitt and D.J. Hand (1981)

16 Classification A.D. Gordon (1981)

17 Distribution-free Statistical Methods J.S. Maritz (1981)

18 Residuals and Influence in Regression R.D. Cook and S. Weisberg (1982)

19 Applications of Queueing Theory G.F. Newell (1982)

20 Risk Theory, 3rd edition R.E. Beard, T. Pentikainen and E. Pesonen (1984)

21 Analysis of Survival Data D.R. Cox and D. Oakes (1984)

22 An Introduction to Latent Variable Models B.S. Everitt (1984)

23 Bandit Problems D.A. Berry and B. Fristedt (1985)

24 Stochastic Modelling and Control M.H.A. Davis and R. Vinter (1985)

25 The Statistical Analysis of Compositional Data J. Aitchison (1986)

26 Density Estimation for Statistical and Data Analysis B.W. Silverman (1986)

27 Regression Analysis with Applications G.B. Wetherill (1986)

28 Sequential Methods in Statistics, 3rd edition G.B. Wetherill (1986)

29 Tensor Methods in Statistics P. McCullagh (1987)

30 Transformation and Weighting in Regression R.J. Carroll and D. Ruppert (1988)

31 Asymptotic Techniques for use in Statistics O.E. Barndorff-Nielsen and D. R. Cox (1989)

32 Analysis of Binary Data, 2nd edition D.R. Cox and E.J. Snell (1989)

33 Analysis of Infectious Disease Data N.G. Becker (1989)

34 Design and Analysis of Cross-Over Trials B. Jones andM.G. Kenward (1989)

35 Empirical Bayes Method, 2nd edition J.S. Maritz and T. Lwin (1989)

36 Symmetric Multivariate and Related Distributions K.-T Fang, S. Kotz and K. Ng (1989)

37 Generalized Linear Models, 2nd edition P. McCullagh and J. A. Nelder (1989)

38 Cyclic Designs J.A. John (1987)

39 Analog Estimation Methods in Econometrics C.F. Manski (1988)

40 Subset Selection in Regression A.J. Miller (1990)

41 Analysis of Repeated Measures M. Crowder and D.J. Hand (1990)

42 Statistical Reasoning with Imprecise Probabilities P. Walley (1990)

43 Generalized Additive Models T.J. Hastie and R.J. Tibshirani (1990)

44 Inspection Errors for Attributes in Quality Control N.L. Johnson, S. Kotz and X. Wu (1991)

45 The Analysis of Contingency Tables, 2nd edition B.S. Everitt (1992)

46 The Analysis of Quantal Response Data B.J.T. Morgan (1992)

47 Longitudinal Data with Serial Correlation: A State-space Approach R.H. Jones (1993)

48 Differential Geometry and Statistics Michael K. Murrayand John W. Rice (1993)

49 Markov Models and Optimization M.H.A. Davis (1993)

50 Networks and Chaos - Statistical and Probalistic Aspects O.E. Barndorff-Nielson, J.H. Jensen and W.S. Kendall (1993)

51 Number Theoretic Methods in Statistics K.-T. Fang and Y. Wang (1993)

52 Inference and Asymptotics D.R. Cox and O.E. Barndorff-Nielson (1994)

53 Practical Risk Theory for Actuaries C.D. Daykin, T. Pentikdinen and M. Pesonen (1993)

54 Statistical Concepts and Applications in Medicine J. Aitchison and I.J. Launder (1994)

55 Predictive Inference S. Geisser (1993)

56 Model Free Curve Estimation M. Tartar and M.Lock (1994)

57 An Introduction to the Bootstrap B. Efron and R. Tibshirani (1993)

58 Nonparametric Regression and Generalized Linear Models P.J. Green and B. W. Silverman (1994)

59 Multidimensional Scaling T. Cox and M. Cox (1994)

(Full details concerning this series are available from the publisher)

Tensor Methods in Statistics

PETER McCULLAGH

The University of Chicago

Department of Statistics

Chicago, USA

First published 1987 by CRC Press Taylor Francis Group 6000 Broken Sound - photo 2

First published 1987 by CRC Press

Taylor & Francis Group

6000 Broken Sound Parkway NW, Suite 300

Boca Raton, FL 33487-2742

Reissued 2018 by CRC Press

1987 by P. McCullagh

CRC Press is an imprint of Taylor & Francis Group, an Informa business

No claim to original U.S. Government works

This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.

Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.

Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

Library of Congress Cataloging-in-Publication Data

McCullagh. P. (Peter), 1952

Tensor methods in statistics.

(Monographs on statistics and applied probability)

Bibliography : p

Includes indexes.

1. Calculus of tensors. 2. Mathematical statistics.

I. Title. II. Series.

QA433.M325 1987 519.5 87-13826

ISBN 0-412-27480-9

A Library of Congress record exists under LC control number: 87013826

Publishers Note

The publisher has gone to great lengths to ensure the quality of this reprint but points out that some imperfections in the original copies may be apparent.

Disclaimer

The publisher has made every effort to trace copyright holders and welcomes correspondence from those they have been unable to contact.

ISBN 13: 978-1-315-89801-8 (hbk)

ISBN 13: 978-1-351-07711-8 (ebk)

Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the

CRC Press Web site at http://www.crcpress.com

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Tensor Methods in Statistics: Monographs on Statistics and Applied Probability»

Look at similar books to Tensor Methods in Statistics: Monographs on Statistics and Applied Probability. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Tensor Methods in Statistics: Monographs on Statistics and Applied Probability»

Discussion, reviews of the book Tensor Methods in Statistics: Monographs on Statistics and Applied Probability and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.