Statistical Modeling and Applications Multivariate, Heavy-Tailed, Skewed Distributions and Mixture Modeling, Volume 2 /
In an era defined by the seamless integration of data and sophisticated analytical and modeling techniques, the quest for advanced statistical modeling and methodologies has never been more pertinent. Statistical Modeling and Applications: Multivariate, Heavy-Tailed, Skewed Distributions, Mixture an...
Gardado en:
| Autor Corporativo: | |
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| Outros autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edición: | 1st ed. 2024. |
| Series: | Emerging Topics in Statistics and Biostatistics,
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-031-69622-0 |
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Table of Contents:
- -- Random Gaussian fields and systems of stochastic partial differential equations.
- A Poly-cylindrical Bayesian network for clustering oceanographic data.
- A Copula-Based Approach to Statistical Modelling of Solar Irradiance.
- Two-sample intraclass correlation coefficient tests for matrix-valued data.
- Evolution of the generation and analysis of single imputation synthetic datasets in Statistical Disclosure Control.
- Some empirical findings on neural network-based forecasting when subjected to autoregressive resampling.
- Enriched lognormal models for income data:A new approach to estimate semi-parametric Gaussian mixtures of regressions with varying mixing proportions.
- Computational comparisons of two-component mixtures using Lindley-type models.
- Baranchik-type estimators under modified balanced loss functions.
- Modelling the movement of a South African cheetah using a hidden Markov model and circular-linear regression.