Recent Studies on Risk Analysis and Statistical Modeling. 1st ed. 2018

種類:

電子ブック

責任表示:

edited by Teresa A. Oliveira, Christos P. Kitsos, Amílcar Oliveira, Luís Grilo

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Oliveira, Teresa A.
• Kitsos, Christos P.
• Oliveira, Amílcar.
• Grilo, Luís.
• SpringerLink (Online service)

シリーズ名:

Contributions to Statistics ;

ISBN:

9783319766058 [3319766058]    

注記:

Preface -- Introduction -- Part I. Risk Methodologies and Applications -- Assessment of maximum a posteriori image estimation algorithms for reduced acquisition time medical positron emission tomography data -- On mixed cancer risk assessment -- Traditional versus alternative risk measures in hedge fund investment efficiency -- Estimating the extremal coefficient: a simulation comparison of methods -- On a business condence index and its data analytics: A Chilean case -- On the Application of Sample Coefficient of Variation for Managing Loan Portfolio Risks -- Acceptance-sampling plans for reducing the risk associated with chemical compounds -- Risk of Return Levels for Spatial Extreme Events -- Nonparametric Individual Control Charts for Silica in Water -- Revisiting resampling methods in the extremal index estimation: improving risk assessment -- Improving Asymptotically Unbiased Extreme Value Index Estimation -- Hazard Rate and Future Lifetime for the Generalized Normal Distribution -- Part II. Statistical
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.

ローカル注記:

学内専用E-BOOKS (local access only)