Wiley Series in Probability and Statistics – serie

Categorical Data Analysis

Applied Linear Regression

Variance Components

Stochastic Simulation

Matrix Algebra Useful for Statistics

Robust Statistics

Theory and Methods

Bayesian Analysis for the Social Sciences

Statistical Methods in Spatial Epidemiology

Bayes Linear Statistics

Theory and Methods

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Inference and Prediction in Large Dimensions

Bayesian Statistical Modelling

Structural Equation Modeling

A Bayesian Approach

Linear Models

The Theory and Application of Analysis of Variance

Robust Methods in Biostatistics

Multivariable Model - Building

A Pragmatic Approach to Regression Anaylsis based on Fractional Polynomials for Modelling Continuous Variables

Meta Analysis

A Guide to Calibrating and Combining Statistical Evidence

Linear Models for Unbalanced Data

Exploring Data Tables, Trends, and Shapes

Management of Data in Clinical Trials

Stage-Wise Adaptive Designs

Construction of Optimal Stated Choice Experiments

Theory and Methods

Response Surfaces, Mixtures, and Ridge Analyses

Generalized, Linear, and Mixed Models

Models for Probability and Statistical Inference

Theory and Applications

Variations on Split Plot and Split Block Experiment Designs

Modern Regression Methods

Analysis of Ordinal Categorical Data

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives