Statistical Methods for Biostatistics and Related Fields

Herausgegeben:Härdle, Wolfgang; Mori, Yuichi; Vieu, Philippe

• Broschiertes Buch

Produktbeschreibung

Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also strongly related to other scientific disciplines involving statistical methodology. The aim of this book is to cover a wide scope of recent statistical methods used by scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics.

The contributed papers, coming from internationally recognized researchers, present various statistical methodologies together with a selected scope of their main mathematical properties and their applications in real case studies, making this book of interest to a wide audience among researchers and students in statistics.

Each method is accompanied with interactive and automatic Xplore routines, available on-line, allowing people to reproduce the proposed examples or to apply the methods to their own real datasets. Thus this book will also be of special interest to practitioners.

Produktdetails

• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-06921-5
• Softcover reprint of hardcover 1st ed. 2007
• Seitenzahl: 388
• Erscheinungstermin: 14. Oktober 2010
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 587g
• ISBN-13: 9783642069215
• ISBN-10: 3642069215
• Artikelnr.: 32008858

Autorenporträt

Wolfgang Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. the Centre for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

Inhaltsangabe

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.