Modeling and Analysis of Compositional Data by Vera Pawlowsky-Glahn
Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method.-
Multiple Imputation and its Application
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Data Monitoring Committees in Clinical Trials
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Bayesian Approaches to Clinical Trials and Health-Care Evaluation
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Risk Assessment
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Evidence Synthesis for Decision Making in Healthcare
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Modern Analysis of Customer Surveys
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Statistical Practice in Business and Industry
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Spatio-temporal Design
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Applied Missing Data Analysis in the Health Sciences
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Statistical Methods for Hospital Monitoring with R
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Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
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Statistical Estimation of Epidemiological Risk
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Statistical Monitoring of Complex Multivariate Processes
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A Practical Guide to Designing Phase II Trials in Oncology
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Quantitative Finance
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Statistical Applications for Environmental Analysis and Risk Assessment
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Statistical Methods for Dose-Finding Experiments
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Geostatistics for Environmental Scientists
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Selection Bias and Covariate Imbalances in Randomized Clinical Trials
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Spatial Analysis Along Networks
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Using Statistical Methods for Water Quality Management
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Weight-of-Evidence for Forensic DNA Profiles
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Statistical and Methodological Aspects of Oral Health Research
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Statistics and the Evaluation of Evidence for Forensic Scientists
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Statistical DNA Forensics
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Analysing Survival Data from Clinical Trials and Observational Studies
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Statistical Analysis of Microstructures in Materials Science
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Understanding Biostatistics
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Nondetects and Data Analysis
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
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Maximum Likelihood Estimation and Inference
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Applied Mixed Models in Medicine
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How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
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Statistical Issues in Drug Development
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Individual Participant Data Meta-Analysis
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Missing Data in Clinical Studies
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Comparing Clinical Measurement Methods
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Statistical Methods for Groundwater Monitoring
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The False Discovery Rate
VERA PAWLOWSKY-GLAHN Department of Computer Science, Applied Mathematics, and Statistics, University of Girona, Spain
JUAN JOSÉ EGOZCUE Department of Applied Mathematics III, Technical University of Catalonia, Barcelona, Spain
RAIMON TOLOSANA-DELGADO Helmholtz Institute Freiberg for Resource Technology, Germany
JUAN JOSÉ EGOZCUE Department of Applied Mathematics III, Technical University of Catalonia, Barcelona, Spain
RAIMON TOLOSANA-DELGADO Helmholtz Institute Freiberg for Resource Technology, Germany
| SKU | Unavailable |
| ISBN 13 | 9781118443064 |
| ISBN 10 | 1118443063 |
| Title | Modeling and Analysis of Compositional Data |
| Author | Vera Pawlowsky-Glahn |
| Series | Statistics In Practice |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2015-03-27 |
| Number of pages | 272 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |