Description

Book Synopsis

.- 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.

Statistical Modeling and Applications

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    £170.99

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    RRP £179.99 – you save £9.00 (5%)

    Order before 4pm tomorrow for delivery by Tue 16 Jun 2026.

    A Hardback by Carlos A. Coelho

    15 in stock


      View other formats and editions of Statistical Modeling and Applications by Carlos A. Coelho

      Publisher: Springer
      Publication Date: 19/12/2024
      ISBN13: 9783031696213, 978-3031696213
      ISBN10:
      Also in:
      Mathematics Probability and statistics

      Description

      Book Synopsis

      .- 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.

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