The Design and Analysis of Computer Experiments
The Statistical Analysis of Discrete Data
Engineering Quality by Design
Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons
The Statistical Analysis of Discrete Data
A Two-stage Procedure for Selecting the Best Normal Population Whose First Stage Selects a Bounded, Random Number of Populations
A Note on Teaching Binomial Confidence Intervals
On the Small Sample Properties of Norm-restricted Maximum Likelihood Estimators for Logistic Regression Models
Confidence Intervals for a Binomial Parameter Based on Multistage Tests
Orthogonalizing Parametric Link Transformation Families in Binary Regression Analysis
Interval Estimation of the Marginal Probability of Success for the Beta-binomial Distribution
Restricted Maximum Likelihood Estimator for Logistic Regression Models
Estimating Logistic Regression Probabilities
Exact Confidence Intervals for P1-P2 in 2x2 Contingency Tables
The Use of Subset Selection in Combined Array Experiments to Determine Optimal Product Or Process Designs
Gupta's Subset Selection Procedure, A Note on the Lower Bound for the PCS
Screening Procedures to Identify Robust Product Or Process Designs Using Fractional Factorial Experiments
Designing Two Factor Experiments for Selecting Interactions
The Effect of Link Misspecification on Binary Regression Inference