Statistical Data Fusion
eBook - ePub

Statistical Data Fusion

  1. 200 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.

The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.

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Contents: Introduction;Weighted Systems of Distributions;Multivariate Extension;Some Asymptotic Results;Out of Sample Fusion;Bayesian Weighted Systems;Small Area Estimation; --> -->
Readership: Graduate students, researchers, practitioners of statistics, engineers, scientists.
-->Semiparametric, Density Ratio, Bayesian, Small Area, Tail Probability, Out of Sample Fusion0

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Yes, you can access Statistical Data Fusion by Benjamin Kedem, Victor De Oliveira;Michael Sverchkov in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Dedication
  6. Preface
  7. Contents
  8. 1 Introduction
  9. 2 Weighted Systems of Distributions
  10. 3 Multivariate Extension
  11. 4 Some Asymptotic Results
  12. 5 Out of Sample Fusion
  13. 6 Bayesian Weighted Systems
  14. 7 Small Area Estimation
  15. Reference
  16. Index