Transcription of DENSITY ESTIMATION FOR STATISTICS AND DATA ANALYSIS
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DENSITY ESTIMATION FOR STATISTICS AND DATA ANALYSIS
Published in Monographs on STATISTICS and Applied Probability, London: Chapman and Hall, ESTIMATION FOR STATISTICS AND SilvermanSchool of Mathematics University of Bath, UKTable of ContentsINTRODUCTIONWhat is DENSITY ESTIMATION ? DENSITY estimates in the exploration and presentation of dataFurther readingSURVEY OF EXISTING METHODSI ntroductionHistogramsThe naive estimatorThe kernel estimatorThe nearest neighbour methodThe variable kernel methodOrthogonal series estimatorsMaximum penalized likelihood estimatorsGeneral weight function estimatorsBounded domains and directional dataDiscussion and bibliography1.
discriminant analysis from rigid distributional assumptions. Since then, density estimation and related ideas have been used in a variety of contexts, some of which, including discriminant analysis, will be discussed in the final chapter of this book.
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