Buch, Englisch, 370 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g
Buch, Englisch, 370 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g
ISBN: 978-3-642-06921-5
Verlag: Springer
This book covers a wide range of recent statistical methods that are of interest to scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics. The contributed papers, from internationally recognized researchers, present various statistical methodologies together with a selected scope of their main mathematical properties and their application in a real case study.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
Weitere Infos & Material
Biostatistics.- Discriminant Analysis Based on Continuous and Discrete Variables.- Longitudinal Data Analysis with Linear Regression.- A Kernel Method Used for the Analysis of Replicated Micro-array Experiments.- Kernel Estimates of Hazard Functions for Biomedical Data Sets.- Partially Linear Models.- Analysis of Contingency Tables.- Identifying Coexpressed Genes.- Bootstrap Methods for Testing Interactions in GAMs.- Survival Trees.- A Semiparametric Approach to Estimate Reference Curves for Biophysical Properties of the Skin.- Survival Analysis.- Related Sciences.- Ozone Pollution Forecasting Using Conditional Mean and Conditional Quantiles with Functional Covariates.- Nonparametric Functional Methods: New Tools for Chemometric Analysis.- Variable Selection in Principal Component Analysis.- Spatial Statistics.- Functional Data Analysis.- Analysis of Failure Time with Microearthquakes Applications.- Polychotomous Regression: Application to Landcover Prediction.- The Application of Fuzzy Clustering to Satellite Images Data.
