Recent Studies on Risk Analysis and Statistical Modeling

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Special Collection:e-book
Format: Book
Language:English
Published: Cham : : Springer International Publishing : : Imprint: Springer,, 2018
Edition:1st ed. 2018.
Series:Contributions to Statistics,, ISSN 1431-1968
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Online Access:https://doi.org/10.1007/978-3-319-76605-8
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id opac-EUL01-000979223
collection e-book
institution L_200
EUL01
spelling Recent Studies on Risk Analysis and Statistical Modeling edited by Teresa A. Oliveira, Christos P. Kitsos, Amílcar Oliveira, Luís Grilo.
1st ed. 2018.
Cham : Springer International Publishing : Imprint: Springer, 2018
XVI, 375 p. 86 illus., 33 illus. in color. online forrás
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
Contributions to Statistics, 1431-1968
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 Modeling and Risk issues in several areas -- Wavelet-based detection of outliers in Poisson INAR(1) time series -- Surveillance in Discrete Time Series -- On the maxima of integer models based on a new thinning operator -- Exact and Approximate Probabilities for the Null Distribution of Bartels Randomness Test -- Gamma-series representations for the sum of independent gamma random variables and for the product of independent beta random variables -- Likelihood ratio tests for equality of mean vectors with circular covariance matrices -- Optimal Estimators in Mixed Models with Orthogonal Block Struc- tures -- Constructing Random Klein surfaces without boundary -- Performance Analysis of a GPS Equipment -- Multivariate generalized Birnbaum-Saunders models applied to case studies in bio-engineering and industry -- Energy Prices Forecasting Using GLM -- Pseudo Maximum Likelihood and Moments Estimators for some Ergodic Diffusions -- Statistical Modelling
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.
Nyomtatott kiadás: ISBN 9783319766041
Nyomtatott kiadás: ISBN 9783319766065
Nyomtatott kiadás: ISBN 9783030095321
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Mathematical statistics. EUL10000079757 Y
Statistics. EUL10000081563 Y
System safety. EUL10001074773 Y
Statistical Theory and Methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Quality Control, Reliability, Safety and Risk.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
Oliveira, Teresa A. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
Kitsos, Christos P. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
Oliveira, Amílcar. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
Grilo, Luís. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
SpringerLink (Online service) közreadó testület
Online változat https://doi.org/10.1007/978-3-319-76605-8
EUL01
language English
format Book
author2 Oliveira, Teresa A., szerkesztő
Kitsos, Christos P., szerkesztő
Oliveira, Amílcar., szerkesztő
Grilo, Luís., szerkesztő
author_facet Oliveira, Teresa A., szerkesztő
Kitsos, Christos P., szerkesztő
Oliveira, Amílcar., szerkesztő
Grilo, Luís., szerkesztő
SpringerLink (Online service), közreadó testület
author_corporate SpringerLink (Online service), közreadó testület
author_sort Oliveira, Teresa A.
title Recent Studies on Risk Analysis and Statistical Modeling
spellingShingle Recent Studies on Risk Analysis and Statistical Modeling
Contributions to Statistics,, ISSN 1431-1968
Mathematical statistics.
Statistics.
System safety.
Statistical Theory and Methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Quality Control, Reliability, Safety and Risk.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
title_short Recent Studies on Risk Analysis and Statistical Modeling
title_full Recent Studies on Risk Analysis and Statistical Modeling edited by Teresa A. Oliveira, Christos P. Kitsos, Amílcar Oliveira, Luís Grilo.
title_fullStr Recent Studies on Risk Analysis and Statistical Modeling edited by Teresa A. Oliveira, Christos P. Kitsos, Amílcar Oliveira, Luís Grilo.
title_full_unstemmed Recent Studies on Risk Analysis and Statistical Modeling edited by Teresa A. Oliveira, Christos P. Kitsos, Amílcar Oliveira, Luís Grilo.
title_auth Recent Studies on Risk Analysis and Statistical Modeling
title_sort recent studies on risk analysis and statistical modeling
series Contributions to Statistics,, ISSN 1431-1968
series2 Contributions to Statistics,
publishDate 2018
publishDateSort 2018
physical XVI, 375 p. 86 illus., 33 illus. in color. : online forrás
edition 1st ed. 2018.
isbn 978-3-319-76605-8
issn 1431-1968
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276-280
callnumber-raw 979223
callnumber-search 979223
topic Mathematical statistics.
Statistics.
System safety.
Statistical Theory and Methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Quality Control, Reliability, Safety and Risk.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
topic_facet Mathematical statistics.
Statistics.
System safety.
Statistical Theory and Methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Quality Control, Reliability, Safety and Risk.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
Mathematical statistics.
Statistics.
System safety.
Statistical Theory and Methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Quality Control, Reliability, Safety and Risk.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
url https://doi.org/10.1007/978-3-319-76605-8
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.5
dewey-sort 3519.5
dewey-raw 519.5
dewey-search 519.5
first_indexed 2023-12-26T23:12:10Z
last_indexed 2023-12-29T19:17:07Z
recordtype opac
publisher Cham : : Springer International Publishing : : Imprint: Springer,
_version_ 1786641203213631488
score 13,366542
generalnotes 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.