Statistics for data science and policy analysis / Azizur Rahman, editor.

Publication details: Singapore : Springer, ©2020.Description: xv, 386 p. : ill. ; 24 cmDDC classification:
  • 519.5
Contents:
Intro -- Preface -- Organisation -- Acknowledgements -- Contents -- Part I Applied Statistics and Bayesian Modeling -- 1 Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domains -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.2.1 Samples -- 1.2.2 Spatial Domains -- 1.2.3 Handheld X-Ray Fluorescence Measurement -- 1.2.4 Statistical Analysis Methods -- 1.2.4.1 Variable Selection -- 1.2.4.2 Bayesian Methodology -- 1.3 Results -- 1.4 Discussion -- References -- 2 Computing Robust Statistics via an EM Algorithm
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Item type Current library Collection Call number Status Date due Barcode
Book Book Library of People's Majlis General/ Lending General G-EN 519.5 STA (Browse shelf(Opens below)) Available 0000002893

"This book constitutes the refereed proceedings of the Applied Statistics and Policy Analysis Conference 2019 (ASPAC2019), held on 5-6 September 2019, in Wagga Wagga, NSW, Australia"--Page vii.

Includes bibliographical references.

Intro -- Preface -- Organisation -- Acknowledgements -- Contents -- Part I Applied Statistics and Bayesian Modeling -- 1 Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domains -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.2.1 Samples -- 1.2.2 Spatial Domains -- 1.2.3 Handheld X-Ray Fluorescence Measurement -- 1.2.4 Statistical Analysis Methods -- 1.2.4.1 Variable Selection -- 1.2.4.2 Bayesian Methodology -- 1.3 Results -- 1.4 Discussion -- References -- 2 Computing Robust Statistics via an EM Algorithm

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