Aims and Scope
Since its inception in 1960 under the leadership of Sir David R. Cox, the series has established itself as a leading outlet for monographs presenting advances in statistical and applied probability research. With over 150 books published - over 100 still in print - the series has gained a reputation for outstanding quality.
The scope of the series is wide, incorporating developments in statistical methodology of relevance to a range of application areas. The monographs in the series present succinct and authoritative overviews of methodology, often with an emphasis on application through worked examples and software for their implementation. They are written so as to be accessible to graduate students, researchers and practitioners of statistics, as well as quantitative scientists from the many relevant areas of application.
Recently Published Titles
- Large Covariance and Autocovariance Matrices
- Nonparametric Models for Longitudinal Data: With Implementation in R
- Multivariate Kernel Smoothing and Its Applications
- Multistate Models for the Analysis of Life History Data
- Sufficient Dimension Reduction: Methods and Applications with R
- Probabilistic Foundations of Statistical Network Analysis
- Missing and Modified Data in Nonparametric Estimation: With R Examples
- Absolute Risk: Methods and Applications in Clinical Management and Public Health
- Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition
- Multi-State Survival Models for Interval-Censored Data
- Joint Modeling of Longitudinal and Time-to-Event Data
- Hidden Markov Models for Time Series: An Introduction Using R, Second Edition
- State-Space Methods for Time Series Analysis: Theory, Applications and Software
- Perfect Simulation
- Inferential Models: Reasoning with Uncertainty
- Semialgebraic Statistics and Latent Tree Models
- Models for Dependent Time Series
Want to Publish With Us?
If you are interested in proposing a book for the series, please contact one of the series editors or one of our statistics acquisitions editors.
Department of Statistical Science, Cornell University, USA
School of Mathematics and Statistics, University of Newcastle, UK
Department of Biostatistics, University of Copenhagen, Denmark
Thomas A. Louis
Department of Biostatistics, Johns Hopkins School of Public Health, Baltimore, USA
Richard L. Smith
Department of Statistics & Operations Research, University of North Carolina, Chapel Hill, USA
Wing H. Wong
Department of Statistics, Stanford University, USA