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Probabilistic Foundations of Statistical Network Analysis

The Statistical Analysis of Multivariate Failure Time Data : A Marginal Modeling Approach

Quasi-Least Squares Regression

Multivariate Kernel Smoothing and Its Applications

Set-Indexed Martingales

Circular and Linear Regression : Fitting Circles and Lines by Least Squares

Count Time Series : A Generalized Linear Models Approach

Inspection Errors for Attributes in Quality Control - 44

Inspection Errors for Attributes in Quality Control - 44

Martingale Methods in Statistics

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach - 1

Multivariate Kernel Smoothing and Its Applications - 160

Change-point Methodology and Applications

The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach - 1

Joint Modeling of Longitudinal and Time-to-Event Data

Kernel Smoothing

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Analysis of Survival Data

Analysis of Binary Data

Differential Geometry and Statistics

Multivariate Dependencies : Models, Analysis and Interpretation

Bayesian Methods for Finite Population Sampling

Classification

Subset Selection in Regression

Replication and Evidence Factors in Observational Studies

Probabilistic Foundations of Statistical Network Analysis

Antedependence Models for Longitudinal Data

Large Covariance and Autocovariance Matrices

Measuring Statistical Evidence Using Relative Belief

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

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