Spatial statistics and spatio-temporal data covariance functions and directional properties

Latent variable models and factor analysis a unified approach.

Selected Works of Debabrata Basu

Selected Works of Donald L. Burkholder

Selected Works of Murray Rosenblatt

Selected Works of Oded Schramm

Multistate systems reliability theory with applications

Time series analysis and forecasting by example

Statistical methods for quality improvement

An elementary introduction to statistical learning theory

Bayesian Theory and Methods with Applications

Biostatistical methods the assessment of relative risks

A primer on experiments with mixtures

Multilevel statistical models

Empirical model building data, models, and reality

Geostatistics modeling spatial uncertainty

Smoothing splines : methods and applications

Simultaneous inference in regression

Statistical inference : the minimum distance approach

Robust nonparametric statistical methods

Large Deviations Techniques and Applications

Multivariate statistics high-dimensional and large-sample approximations

Analysis of ordinal categorical data

Selected Works of R.M. Dudley

Selected Works of C.C. Heyde

Latent class and latent transition analysis with applications in the social behavioral, and health sciences

Bias and causation models and judgment for valid comparisons

Statistical inference for fractional diffusion processes

Analysis of financial time series

Permutation tests for complex data theory, applications, and software

Random data analysis and measurement procedures

Numerical Solution of Stochastic Differential Equations with Jumps in Finance

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

Statistical inference : an integrated Bayesian/likelihood approach

Introduction to time series modeling

Antedependence models for longitudinal data

Mixed effects models for complex data

Decision theory principles and approaches

ROC curves for continuous data

Continuous-time Stochastic Control and Optimization with Financial Applications

Smoothing of multivariate data density estimation and visualization

Robust statistics

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

Robust methods in biostatistics

Smooth tests of goodness of fit using R

Statistical control by monitoring and adjustment

Statistical analysis of designed experiments theory and applications

Robust methods in biostatistics

Continuous-Time Markov Decision Processes Theory and Applications

Hidden Markov models for time series : an introduction using R

ROC curves for continuous data

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

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

Loss models from data to decisions

Stochastic Control of Hereditary Systems and Applications

Optimal Stopping Rules

A matrix handbook for statisticians

Simulation and the monte carlo method

Applied multiway data analysis

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

Modern applied U-statistics

Linear models the theory and application of analysis of variance

The EM algorithm and extensions

Statistical rules of thumb

Statistical meta-analysis with applications

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

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

Structural equation modeling a Bayesian approach

Bayes linear statistics theory and methods