A Statistical Approach to Neural Networks for Pattern Recognition 
Solutions Manual to accompany Modern Engineering Statistics 
Aspects of Multivariate Statistical Theory 
Approximation Theorems of Mathematical Statistics 
Stochastic Dynamic Programming and the Control of Queueing Systems 
Subjective and Objective Bayesian Statistics 
The Theory of Measures and Integration 
Bayesian Approach to Inverse Problems 
Switching Processes in Queueing Models 
Uncertainty Modeling in Dose Response 
Large Deviations for Gaussian Queues 
A First Course in Stochastic Models 
Fundamentals of Probability and Statistics for Engineers 
Quantitative Methods in Population Health 
A History of Probability and Statistics and Their Applications before 1750 
Combinatorial Methods in Discrete Distributions 
Probability, Statistics, and Stochastic Processes 
Contemporary Bayesian Econometrics and Statistics 
A Manager′s Guide to the Design and Conduct of Clinical Trials 
Maxima and Minima with Applications 
Design and Analysis of Clinical Experiments 
Statistical Models and Methods for Lifetime Data 
Forecasting with Dynamic Regression Models 
Structural Equations with Latent Variables 
Computation for the Analysis of Designed Experiments