Aims and Scope
The objective of the series is to provide high-quality volumes covering the state-of-the-art in the theory and applications of statistical methodology. The books in the series are thoroughly-edited and present comprehensive, coherent and unified summaries of specific methodological topics from statistics. The chapters are written by the leading researchers in the field, and present a good balance of theory and application through a synthesis of the key methodological developments and examples and case studies using real data.
The scope of the series is wide, covering topics of statistical methodology that are well developed and find application in a range of scientific disciplines. The volumes are primarily of interest to researchers and graduate students from statistics and biostatistics, but also appeal to scientists from fields where the methodology is applied to real problems, including medical research, epidemiology and public health, engineering, biological science, environmental science and the social sciences.
Published Titles
- Handbook of Graphical Models
- Handbook of Approximate Bayesian Computation
- Handbook of Statistical Methods for Case-Control Studies
- Handbook of Quantile Regression
- Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials
- Handbook of Statistical Methods and Analyses in Sports
- Handbook of Neuroimaging Data Analysis
- Handbook of Spatial Epidemiology
- Handbook of Big Data
- Handbook of Cluster Analysis
- Handbook of Discrete-Valued Time Series
- Handbook of Design and Analysis of Experiments
- Handbook of Mixed Membership Models and Their Applications
- Handbook of Missing Data Methodology
- Handbook of Survival Analysis
- Handbook of Markov Chain Monte Carlo
- Handbook of Spatial Statistics
- Longitudinal Data Analysis
Series Editors
Garrett Fitzmaurice
Department of Biostatistics, Harvard School of Public Health, Boston, USA
[email protected]
Want to Publish With Us?
If you are interested in proposing a book for the series, please contact the series editor or one of our statistics acquisitions editors.