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Spatial Processes: Models and Applications

Spatial Processes: Models and Applications Reviews 1984J 515 there, I think, that I must first have met him. However, in 1947 Hsu decided to return to Peking, and help in the development of probability and mathematical statistics in his own country, in spite of poor health, which was to be aggravated by the harsh environment to such an extent that he 1970 at the age of 60, nearly 13 years before the publication of this volume. died in Nevertheless, even now, this collection of Hsu's publications is a fitting tribute to his life and work. The volume includes introductory articles by E. L. Lehmann of Hsu's work in statistical inference, by T. W. Anderson of his work in multivariate analysis and by K. L. Chung of his work in probability. There is also a biographical note by Jiang Ze-han and Duan Xue-fu which gives some inkling of Hsu's indefatigable spirit in the face of his long struggle with his health. M. S. Bartlett Retired 8. Spatial Processes: Models and Applications. By A. D. Cliff and J. K. Ord -. London, Pion Ud., 1981,266 p. The theory of spatial processes and their statistical analyses is now a very fashionable area of research and study. Cliff and Ord wrote a pioneering book on the subject in 1973, Spatial Auto­ correlation, published by Pion Ltd, which they have now revised, greatly extended and changed the title to Spatial Processes: Models and Applications. The original book centred on join count statistics and emphasized hypothesis testing based on them, has been improved upon in style and presentation, and now forms the first third of the new book. The new material in the book gives a good introduction to some other areas of spatial process theory. Included are chapters on the analysis of spatial point patterns, spatial correlograms, various models for spatial processes, a chapter on effects of spatial autocorrelation on various inferential procedures, e.g, Student's t-test for differences in means when there is an underlying auto­ correlation structure for the variables, a chapter on examining residuals from fitted regression models for presence of spatial autocorrelation, and a final chapter combining autoregressive and regressive models. Overall the book is well written although unbalanced to a certain extent, probably due to extending the first book rather than starting anew. There is a fairly good bibliography. There are good illustrative examples of described theory used in practice. A criticism is that the examples are mainly of a geographical nature, whereas a more general slant would have been preferable. The book is to be recommended to join the few books that now exist on spatial processes. T.F.Cox University of Newcastle upon Tyne 9. Contributions to Statistics. By William G. Cochran. New York, Wiley, 1982. 1835 p. $85.00 or £59.00. This volume contains all the 116 known publications by the author, alone or in collaboration. Some of them (like the very first, containing the eponymous theorem) are strictly theoretical, but many are concerned with applications- Paper Number 60 is on the estimation of the rat population of Baltimore. Between these we find two well-known papers (Nos 49 and 59) on chi­ squared tests and the two collaborative ones with Mosteller and Tukey (Nos 51 and 55) on the Kinsey Report. Other applications include experimentation, sample surveys, clinical trials and bio-assay, while theoretical topics include experiment designs, analysis of variance and covariance, discrimination and classification problems and survey theory. The range of the author's work is remarkable. He had a special Scottish canniness in assessing the applicability of statistical theory to practical problems, and his modest unfussy attitude made it a pleasure to discuss them with him. This collection is expensive, but it costs only 50 pence per ounce for a lifetime's wisdom. This reviewer will use it as long as he has the strength to lift it. Alan Stuart London School Of Economics http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Royal Statistical Society Series A (Statistics in Society) Oxford University Press

Spatial Processes: Models and Applications

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Copyright
© 1984 Royal Statistical Society
ISSN
0964-1998
eISSN
1467-985X
DOI
10.2307/2981590
Publisher site
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Abstract

Reviews 1984J 515 there, I think, that I must first have met him. However, in 1947 Hsu decided to return to Peking, and help in the development of probability and mathematical statistics in his own country, in spite of poor health, which was to be aggravated by the harsh environment to such an extent that he 1970 at the age of 60, nearly 13 years before the publication of this volume. died in Nevertheless, even now, this collection of Hsu's publications is a fitting tribute to his life and work. The volume includes introductory articles by E. L. Lehmann of Hsu's work in statistical inference, by T. W. Anderson of his work in multivariate analysis and by K. L. Chung of his work in probability. There is also a biographical note by Jiang Ze-han and Duan Xue-fu which gives some inkling of Hsu's indefatigable spirit in the face of his long struggle with his health. M. S. Bartlett Retired 8. Spatial Processes: Models and Applications. By A. D. Cliff and J. K. Ord -. London, Pion Ud., 1981,266 p. The theory of spatial processes and their statistical analyses is now a very fashionable area of research and study. Cliff and Ord wrote a pioneering book on the subject in 1973, Spatial Auto­ correlation, published by Pion Ltd, which they have now revised, greatly extended and changed the title to Spatial Processes: Models and Applications. The original book centred on join count statistics and emphasized hypothesis testing based on them, has been improved upon in style and presentation, and now forms the first third of the new book. The new material in the book gives a good introduction to some other areas of spatial process theory. Included are chapters on the analysis of spatial point patterns, spatial correlograms, various models for spatial processes, a chapter on effects of spatial autocorrelation on various inferential procedures, e.g, Student's t-test for differences in means when there is an underlying auto­ correlation structure for the variables, a chapter on examining residuals from fitted regression models for presence of spatial autocorrelation, and a final chapter combining autoregressive and regressive models. Overall the book is well written although unbalanced to a certain extent, probably due to extending the first book rather than starting anew. There is a fairly good bibliography. There are good illustrative examples of described theory used in practice. A criticism is that the examples are mainly of a geographical nature, whereas a more general slant would have been preferable. The book is to be recommended to join the few books that now exist on spatial processes. T.F.Cox University of Newcastle upon Tyne 9. Contributions to Statistics. By William G. Cochran. New York, Wiley, 1982. 1835 p. $85.00 or £59.00. This volume contains all the 116 known publications by the author, alone or in collaboration. Some of them (like the very first, containing the eponymous theorem) are strictly theoretical, but many are concerned with applications- Paper Number 60 is on the estimation of the rat population of Baltimore. Between these we find two well-known papers (Nos 49 and 59) on chi­ squared tests and the two collaborative ones with Mosteller and Tukey (Nos 51 and 55) on the Kinsey Report. Other applications include experimentation, sample surveys, clinical trials and bio-assay, while theoretical topics include experiment designs, analysis of variance and covariance, discrimination and classification problems and survey theory. The range of the author's work is remarkable. He had a special Scottish canniness in assessing the applicability of statistical theory to practical problems, and his modest unfussy attitude made it a pleasure to discuss them with him. This collection is expensive, but it costs only 50 pence per ounce for a lifetime's wisdom. This reviewer will use it as long as he has the strength to lift it. Alan Stuart London School Of Economics

Journal

Journal of the Royal Statistical Society Series A (Statistics in Society) – Oxford University Press

Published: Dec 5, 2018

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