Smooth tests of goodness of fit using R

Robust statistics

Statistical control by monitoring and adjustment

Robust methods in biostatistics

Continuous-time Stochastic Control and Optimization with Financial Applications

ROC curves for continuous data

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

Loss models from data to decisions

The EM algorithm and extensions

Meta analysis a guide to calibrating and combining statistical evidence

Simulation and the monte carlo method

Applied multiway data analysis

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

A matrix handbook for statisticians

Statistical rules of thumb

Statistical meta-analysis with 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

Linear models the theory and application of analysis of variance

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

Stochastic Control of Hereditary Systems and Applications

Optimal Stopping Rules

Nonlinear time series semiparametric and nonparametric methods

Structural equation modeling a Bayesian approach

Management of data in clinical trials

Periodically correlated random sequences spectral theory and practice

Approximate dynamic programming solving the curses of dimensionality

Nonparametric statistics with applications to science and engineering

Nonparametric analysis of univariate heavy-tailed data research and practice

Variations on split plot and split block experiment designs

Bayes linear statistics theory and methods

Response surfaces, mixtures, and ridge analyses

Modern experimental design

Long-memory time series theory and methods

The construction of optimal stated choice experiments theory and methods

Statistical methods for spatio-temporal systems

Nonparametric statistics with applications to science and engineering

Stochastic Simulation: Algorithms and Analysis

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

Bayesian statistical modelling

Latent curve models a structural equation perspective

Theory of preliminary test and Stein-type estimation with applications

Introductory stochastic analysis for finance and insurance

Visual statistics seeing data with dynamic interactive graphics

Introduction to nonparametric regression

Modes of parametric statistical inference

Uncertainty analysis with high dimensional dependence modelling

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

Controlled Markov Processes and Viscosity Solutions

Applied linear regression

Image processing and jump regression analysis

Clinical trials a methodologic perspective

Contemporary Bayesian econometrics and statistics

Gaussian Markov random fields theory and applications

Bayesian models for categorical data

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

Constrained statistical inference inequality, order, and shape restrictions

Martingale Methods in Financial Modelling

Average—Cost Control of Stochastic Manufacturing Systems

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

Environmental statistics methods and applications

Financial derivatives in theory and practice

Generalized least squares

Discrete distributions applications in the health sciences

Regression with social data modeling continuous and limited response variables

Statistics for research

Random graphs for statistical pattern recognition

Mixed models theory and applications