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.

Biostatistics: Discriminant Analysis Based on Continuous and Discrete Variables

Longitudinal Data Analysis with Linear Regression
A Kernel Method Used for 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 Reference Curves Estimation
Survival Analysis
Related Sciences: Ozone Pollution Forecasting
Nonparametric Functional Chemometric Analysis
Variable Selection in Principal Component Analysis
Spatial Statistics
Functional Data Analysis
Analysis of Failure Time with Microearthquakes Applications
Landcover Prediction
The Application of Fuzzy Clustering to Satellite Images Data.