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Martingale Methods in Statistics

Absolute risk : methods and applications in clinical management and public health

Statistical evidence : a likelihood paradigm

Probabilistic foundations of statistical network analysis

Generalized linear models with random effects

Statistics in the 21st Century

The statistical analysis of multivariate time data : a marginal modeling approach

Sufficient Dimension Reduction : Methods and Applications with R

Set-Indexed Martingales

Circular and linear regression : fitting circles and lines by least squares

Quasi-least squares regression : extended generalized estimating equation methodology

Missing and modified data in nonparametric estimation : with R examples

Point Processes

Multivariate kernel smoothing and its applications

Mixed models

Count Time Series : A Generalized Linear Models Approach

Object Oriented Data Analysis

Statistical learning with sparsity : the lasso and generalizations

Hidden Markov models for time series : an introduction using R

Statistical evidence : a likelihood paradigm

Sparse graphical modeling for high dimensional data : a paradigm of conditional independence tests

Inspection Errors for Attributes in Quality Control : 44

Change-point Methodology and Applications

Hidden Markov Models for Time Series : An Introduction Using R, Second Edition

Multi-State Survival Models for Interval-Censored Data

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

Analysis of Survival Data

Local polynomial modelling and its applications

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

Robust Cluster Analysis and Variable Selection

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