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Linear Statistical Inference and its Applications.
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Multivariate binary discrimination by the kernel method
SUMMARY An extension of the kernel method of density estimation from continuous to multivariate binary spaces is described. Its simple nonparametric nature together with its consistency propertiesExpand
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The Lognormal Distribution.
Lloyds Bank has its main root in a substantial private bank founded in Birmingham nearly two centuries ago; one hundred years ago this Bank still had only the one office in Birmingham, with a relatedExpand
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The multivariate Poisson-log normal distribution
SUMMARY The statistical analysis of multivariate counts has proved difficult because of the lack of a parametric class of distributions supporting a rich enough correlation structure. With increasingExpand
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Principal component analysis of compositional data
SUMMARY Compositional data, consisting of vectors of proportions, have proved difficult to handle statistically because of the awkward constraint that the components of each vector must sum to unity.Expand
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Statistical Prediction Analysis
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Statistical Prediction Analysis
TLDR
Preface 1. Introduction 2. Predictive distributions 3. Decisive prediction 4. Informative prediction 5. Mean Coverage tolerance prediction 6. Guaranteed coverage tolerance prediction 7. Other approaches to prediction 8. Sampling inspection 9. Regulation and optimisation . Expand
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Biplots of Compositional Data
Summary. The singular value decomposition and its interpretation as a linear biplot have proved to be a powerful tool for analysing many forms of multivariate data. Here we adapt biplot methodologyExpand
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On the Distribution of a Positive Random Variable Having a Discrete Probability Mass at the Origin
Abstract * This paper is a development of some of the estimation problems discussed by Utting and Cole [5]. The author wishes to express his indebtedness to J. A. C. Brown of the Department ofExpand
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