Series: Oxford Statistical Science Series

Graphical Models

Smooth Tests of Goodness of Fit

Time Series

In All Likelihood

Analysis of Longitudinal Data

Random Coefficient Models

Principles of Multivariate Analysis

In All Likelihood

An Introduction to Model-Based Survey Sampling with Applications

Plots, Transformations, and Regression

Optimum Experimental Designs

Models for Repeated Measurements

Numerical Methods for Nonlinear Estimating Equations

Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

Graphical Models

Practical Methods for Reliability Data Analysis

Statistical modelling in GLIM4

Time Series Analysis by State Space Methods

Symbolic Computation for Statistical Inference

Approximating Integrals via Monte Carlo and Deterministic Methods

Applied Smoothing Techniques for Data Analysis

Optimum Experimental Designs, with SAS

Time Series: A Biostatistical Introduction

Estimating Functions

Measurement, Regression, and Calibration

Likelihood Methods in Statistics

Nonlinear Models for Medical Statistics

Optimum Experimental Designs, With SAS

Statistical Modelling in R

Modelling Frequency and Count Data

The Statistical Evaluation of Medical Tests for Classification and Prediction

Statistical Modelling in R