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  • © 1981

Non-negative Matrices and Markov Chains

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  • Offers a photographic reproduction of this still-relevant text, first published in 1981

  • Continually in demand since first published, the book is offered for the first time in paperback

  • This edition includes an additional bibliography on coefficients of ergodicity and a list of corrigenda

Part of the book series: Springer Series in Statistics (SSS)

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eBook
USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-32792-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 169.99
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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xv
  2. Countable Non-Negative Matrices

    1. Front Matter

      Pages 159-159
    2. Countable Stochastic Matrices

      • E. Seneta
      Pages 161-198
    3. Countable Non-negative Matrices

      • E. Seneta
      Pages 199-220
  3. Back Matter

    Pages 245-281

About this book

This book is a photographic reproduction of the book of the same title published in

1981, for which there has been continuing demand on account of its accessible technical level. Its appearance also helped generate considerable subsequent work on inhomogeneous products of matrices. This printing adds an additional bibliography on coefficients of ergodicity and a list of corrigenda.

Eugene Seneta received his Ph.D. in 1968 from the Australian National University. He left Canberra in 1979 to become Professor and Head of the Department of Mathematical Statistics at the University of Sydney. He has been a regular visitor to the United States, most frequently to the University of Virginia. Now Emeritus Professor at the University of Sydney, he has recently developed a renewed interest in financial mathematics. He was elected Fellow of the Australian Academy of Science in 1985 and awarded the Pitman Medal of the Statistical Society of Australia for his distinguished research contributions.

The first edition of this book, entitled Non-Negative Matrices, appeared in 1973, and was followed in 1976 by his Regularly Varying Functions in the Springer Lecture Notes in Mathematics, later translated into Russian. Both books were pioneering in their fields. In 1977, Eugene Seneta coauthored (with C. C. Heyde ) I.J. Bienaymé : Statistical Theory Anticipated, which is effectively a history of probability and statistics in the 19th century, and in 2001 co-edited with the same colleague Statisticians of the Centuries, both published by Springer. Having served on the editorial board of the Encyclopedia of Statistical Science, he is currently Joint Editor of the International Statistical Review.

Keywords

  • Markov chain
  • Markowsche Kette
  • Matrices
  • Nichtnegative Matrix
  • ergodicity
  • mathematical statistics
  • statistics

Authors and Affiliations

  • Department of Mathematical Statistics, The University of Sydney, Sydney, Australia

    E. Seneta

Bibliographic Information

  • Book Title: Non-negative Matrices and Markov Chains

  • Authors: E. Seneta

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/0-387-32792-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1981

  • Softcover ISBN: 978-0-387-29765-1

  • eBook ISBN: 978-0-387-32792-1

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 2

  • Number of Pages: XV, 281

  • Additional Information: Originally published by Allen & Unwin Ltd., London, 1973

  • Topics: Statistical Theory and Methods, Probability Theory

Buying options

eBook
USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-32792-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 169.99
Price excludes VAT (USA)