Søgning på underkategorier- og emner:
Bemærk: Kan leveres før jul.
Now in its third edition, this classic book continues to take an applied approach to analysis using up-to-date Bayesian methods.
Bemærk: Kan ikke garanteres før jul. Se dato på varen.
Making Statistics Work presents a synthesis of information theory and Bayesian inference that provides a consistent, powerful, and flexible framework for data inference, allowing for new approaches to many of the unresolved questions of statistics.
Bemærk: Kan ikke garanteres før jul. Se dato på varen.
War is far more likely to occur in countries where women lack equal standing in society. Focusing on gendered... Læs mere
Bemærk: Kan ikke leveres før jul.
Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems.
Bemærk: Kan ikke leveres før jul.
Bayesian Methods for the Physical Sciences
Bemærk: Kan ikke leveres før jul.
Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections.
Bemærk: Kan ikke leveres før jul.
This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods.
Bemærk: Kan ikke leveres før jul.
It then investigates three types of claims reserving models in the Bayesian framework: chain ladder models, basis expansion models involving a tail factor, and multivariate copula models.
Bemærk: Kan ikke leveres før jul.
This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields.
Bemærk: Kan ikke leveres før jul.
This book classifies the stationary time-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian marginal distributions, product autoregressive models and minification models.