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  • © 2018

Recent Studies on Risk Analysis and Statistical Modeling

  • Presents the latest advances in the field of risk analysis
  • Illustrates the fascinating interactions that have developed between the statistical and biomedical sciences
  • Describes a diverse range of applications in medicine, biology, pharmacology and insurance

Part of the book series: Contributions to Statistics (CONTRIB.STAT.)

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xvii
  2. Risk Methodologies and Applications

    1. Front Matter

      Pages 1-1
    2. Multifractal Analysis on Cancer Risk

      • Milan Stehlík, Philipp Hermann, Stefan Giebel, Jens-Peter Schenk
      Pages 17-33
    3. On a Business Confidence Index and Its Data Analytics: A Chilean Case

      • Víctor Leiva, Camilo Lillo, Rodrigo Morrás
      Pages 67-85
    4. Acceptance-Sampling Plans for Reducing the Risk Associated with Chemical Compounds

      • Fernanda Figueiredo, Adelaide Figueiredo, M. Ivette Gomes
      Pages 99-111
    5. Risk of Return Levels for Spatial Extreme Events

      • Luísa Pereira, Cecília Fonseca
      Pages 113-126
    6. Nonparametric Individual Control Charts for Silica in Water

      • Luís M. Grilo, Mário A. Santos, Helena L. Grilo
      Pages 127-139
    7. Improving Asymptotically Unbiased Extreme Value Index Estimation

      • Frederico Caeiro, Ivanilda Cabral, M. Ivette Gomes
      Pages 155-163
    8. Hazard Rate and Future Lifetime for the Generalized Normal Distribution

      • Thomas L. Toulias, Christos P. Kitsos
      Pages 165-180
  3. Statistical Modeling and Risk Issues in Several Areas

    1. Front Matter

      Pages 181-181
    2. Wavelet-Based Detection of Outliers in Poisson INAR(1) Time Series

      • Isabel Silva, Maria Eduarda Silva
      Pages 183-195
    3. Surveillance in Discrete Time Series

      • Maria da Conceição Costa, Isabel Pereira, Manuel G. Scotto
      Pages 197-212
    4. On the Maxima of Integer Models Based on a New Thinning Operator

      • Sandra Dias, Maria da Graça Temido
      Pages 213-226

About this book

This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA.

Editors and Affiliations

  • Universidade Aberta, Lisboa, Portugal

    Teresa A. Oliveira, Amílcar Oliveira

  • Department of Informatics, Technological Educational Institute of Athens, Egaleo, Greece

    Christos P. Kitsos

  • Unidade Dept de Matematica e Fisica, Instituto Politécnico de Tomar, Tomar, Portugal

    Luís Grilo

About the editors

Teresa A. Oliveira works at the Department of Sciences and Technology, Open University (UAb) and is a member of the CEA, University of Lisbon, where she obtained her doctoral degree in Statistics and Operations Research. She is Chair of the Committee on Risk Analysis at the ISI and an Associate Editor of the JAS journal “Applied Statistics”. She has supervised 3 PhD and 39 MSc theses in Statistics, Risk Analysis and e-Learning Methodologies and is the co-author/co-editor of several peer-reviewed international papers and books. She has been the member of Scientific and Organizing Committees as well as acting as Chair at several international conferences.

Prof Christos P. Kitsos works at the Technological Educational Institute of Athens. He received his MA in Statistics from the University of New Brunswick, Canada (1978) and his PhD from the University of Glasgow, UK (1986). He has published 129 papers in journals and refereed volumes, as well as 110 conference presentations. He is the author of eight Statistics and Mathematics books in Greek and three English-language monographs, and co-author of six international edited books.

Prof Amílcar Oliveira is a member of the CEAUL at the University of Lisbon. He received his PhD in Mathematics from the Universidade Aberta in 2008 and his MA in Statistics and Operations Research from the New University of Lisbon in 1999. He has published several papers in peer-reviewed international journals, books and conference proceedings. He is the author/editor of five book chapters and twelve proceeding books. As a member of the Scientific and Organizing Committees has been involved in organizing statistics meetings and acting as Chair at international conferences.

Luis M. Grilo is Director of the Department of Mathematics and Statistical Studies Center at the Polytechnic Institute of Tomar. His primary research areas are Distributions Theory and Statistics Applications. Heis a member of the Center for Mathematics and Applications (CMA-FCT-UNL) and editor of several international journals, as well as a board member of CLAD. As a member of the Scientific and Organizing Committees has been involved in organizing statistics meetings and acting as Chair at international conferences.

 

Bibliographic Information

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access