Stage-wise adaptive designs

Statistical tolerance regions theory, applications, and computation

Bayesian networks an introduction

Batch effects and noise in microarray experiments sources and solutions

Bayesian analysis for the social sciences

Decision theory principles and approaches

Optimal Stopping Rules

Missing data in longitudinal studies strategies for Bayesian modeling and sensitivity analysis

Applied survival analysis regression modeling of time-to-event data

Applied multiway data analysis

Linear models the theory and application of analysis of variance

Loss models from data to decisions

The EM algorithm and extensions

Multivariable model-building a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables

Meta analysis a guide to calibrating and combining statistical evidence

Statistical rules of thumb

Statistical meta-analysis with applications

Stochastic Control of Hereditary Systems and Applications

Statistical advances in the biomedical sciences clinical trials, epidemiology, survival analysis, and bioinformatics

Modern applied U-statistics

Design and analysis of experiments. Volume 1, Introduction to experimental design

A matrix handbook for statisticians

Simulation and the monte carlo method

Nonparametric statistics with applications to science and engineering

Stochastic Simulation: Algorithms and Analysis

Statistical methods for spatio-temporal systems

Bayes linear statistics theory and methods

Response surfaces, mixtures, and ridge analyses

Modern experimental design

Variations on split plot and split block experiment designs

Nonparametric analysis of univariate heavy-tailed data research and practice

Nonlinear time series semiparametric and nonparametric methods

Structural equation modeling a Bayesian approach

Long-memory time series theory and methods

The construction of optimal stated choice experiments theory and methods

Nonparametric statistics with applications to science and engineering

Management of data in clinical trials

Periodically correlated random sequences spectral theory and practice

Approximate dynamic programming solving the curses of dimensionality

Controlled Markov Processes and Viscosity Solutions

Visual statistics seeing data with dynamic interactive graphics

Generalized linear models with random effects unified analysis via h-likelihood

Bayesian statistical modelling

Uncertainty analysis with high dimensional dependence modelling

Theory of preliminary test and Stein-type estimation with applications

Introductory stochastic analysis for finance and insurance

Nonparametric regression methods for longitudinal data analysis

Robust statistics theory and methods

Longitudinal data analysis

Operational risk modeling analytics

Linear model theory univariate, multivariate, and mixed models

Regression analysis by example

The theory of response-adaptive randomization in clinical trials

Reliability and risk a Bayesian perspective

Modes of parametric statistical inference

Introduction to nonparametric regression

Latent curve models a structural equation perspective

Martingale Methods in Financial Modelling

Average—Cost Control of Stochastic Manufacturing Systems

Gaussian Markov random fields theory and applications

Recent advances in quantitative methods for cancer and human health risk assessment

Bayesian models for categorical data

Applied linear regression

Image processing and jump regression analysis

Clinical trials a methodologic perspective

Contemporary Bayesian econometrics and statistics

Constrained statistical inference inequality, order, and shape restrictions

Environmental statistics methods and applications

Hierarchical modeling and analysis for spatial data

Diagnostic checks in time series

Statistics of extremes theory and applications

Applied Bayesian modeling and causal inference from incomplete-data perspectives an essential journey with Donald Rubin's statistical family

Exploration and analysis of DNA microarray and protein array data

Weibull models

Design and analysis of clinical trials concept and methodologies

Numerical issues in statistical computing for the social scientist