Statistical Modelling in Biostatistics and Bioinformatics Statistical Modelling in Biostatistics and Bioinformatics
Contributions to Statistics

Statistical Modelling in Biostatistics and Bioinformatics

Selected Papers

    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

​This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples. The contributors include distinguished international statisticians such as Philip Hougaard, John Hinde, Il Do Ha, Roger Payne and Alessandra Durio, among others, as well as promising newcomers. Some of the contributions have come from researchers working in the BIO-SI research programme on Biostatistics and Bioinformatics, centred on the Universities of Limerick andGalway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.

النوع
علم وطبيعة
تاريخ النشر
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٨ مايو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Statistical Modelling and Regression Structures Statistical Modelling and Regression Structures
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Longitudinal Research with Latent Variables Longitudinal Research with Latent Variables
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Frontiers of Statistical Decision Making and Bayesian Analysis Frontiers of Statistical Decision Making and Bayesian Analysis
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Robustness and Complex Data Structures Robustness and Complex Data Structures
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Correlated Data Analysis: Modeling, Analytics, and Applications Correlated Data Analysis: Modeling, Analytics, and Applications
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
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Time Series Analysis and Forecasting Time Series Analysis and Forecasting
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Developments in Statistical Modelling Developments in Statistical Modelling
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Theory and Applications of Time Series Analysis Theory and Applications of Time Series Analysis
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
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Theory and Applications of Time Series Analysis and Forecasting Theory and Applications of Time Series Analysis and Forecasting
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Methodology and Applications of Statistics Methodology and Applications of Statistics
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