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Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Zustand: New. Considers advanced theoretical approaches and novel applications of reliability. This title features the topics that, when linked with utility theory, constitute the science base of risk analysis. Editor(s): Soyer, Refik; Mazzuchi, Thomas A.; Singpurwalla, Nozer D. Series: International Series in Operations Research & Management Science. Num Pages: 333 pages, biography. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 242 x 166 x 25. Weight in Grams: 654. . 2003. Hardback. . . . . …

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Zustand: Used. pp. 360.

Gebunden. Zustand: New. Consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. The entries have been categorized into seven parts, each emphasizing a them.

Zustand: New. Considers advanced theoretical approaches and novel applications of reliability. This title features the topics that, when linked with utility theory, constitute the science base of risk analysis. Editor(s): Soyer, Refik; Mazzuchi, Thomas A.; Singpurwalla, Nozer D. Series: International Series in Operations Research & Management Science. Num Pages: 333 pages, biography. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 242 x 166 x 25. Weight in Grams: 654. . 2003. Hardback. . . . . Books ship from the US and Ireland. …

Hardback. Zustand: New. Dynamic Time Series Models using R-INLA: An Applied Perspective is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and description by several examples. This book introduces the underpinnings of R-INLA and the tools needed for modelling different types of time series using an approximate Bayesian framework.The book is an ideal reference for statisticians and scientists who work with time series data. It provides an excellent resource for teaching a course on Bayesian analysis using state space models for time series.Key Features:Introduction and overview of R-INLA for time series analysis.Gaussian and non-Gaussian state space models for time series.State space models for time series with exogenous predictors.Hierarchical models for a potentially large set of time series. Dynamic modelling of stochastic volatility and spatio-temporal dependence.…

Hardcover. Zustand: Brand New. 282 pages. 10.00x7.00x0.75 inches. In Stock.

Hardback. Zustand: New. Dynamic Time Series Models using R-INLA: An Applied Perspective is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and description by several examples. This book introduces the underpinnings of R-INLA and the tools needed for modelling different types of time series using an approximate Bayesian framework.The book is an ideal reference for statisticians and scientists who work with time series data. It provides an excellent resource for teaching a course on Bayesian analysis using state space models for time series.Key Features:Introduction and overview of R-INLA for time series analysis.Gaussian and non-Gaussian state space models for time series.State space models for time series with exogenous predictors.Hierarchical models for a potentially large set of time series. Dynamic modelling of stochastic volatility and spatio-temporal dependence.…