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Computation for the Analysis of Designed Experiments
Structural Equations with Latent Variables
Forecasting with Dynamic Regression Models
Statistical Models and Methods for Lifetime Data
Design and Analysis of Clinical Experiments
Maxima and Minima with Applications
A Manager's Guide to the Design and Conduct of Clinical Trials
Contemporary Bayesian Econometrics and Statistics
Probability, Statistics, and Stochastic Processes
Combinatorial Methods in Discrete Distributions
A History of Probability and Statistics and Their Applications before 1750
Quantitative Methods in Population Health
Fundamentals of Probability and Statistics for Engineers
A First Course in Stochastic Models
Large Deviations for Gaussian Queues
Uncertainty Modeling in Dose Response
Switching Processes in Queueing Models
Bayesian Approach to Inverse Problems
The Theory of Measures and Integration
Subjective and Objective Bayesian Statistics
Stochastic Dynamic Programming and the Control of Queueing Systems
Approximation Theorems of Mathematical Statistics
Aspects of Multivariate Statistical Theory
Solutions Manual to accompany Modern Engineering Statistics
A Statistical Approach to Neural Networks for Pattern Recognition
Maximum Likelihood Estimation and Inference
Statistical Estimation of Epidemiological Risk
Numerical Methods in Finance and Economics
Partial Differential Equations and the Finite Element Method
Logic-Based Methods for Optimization
Introduction to Discrete Dynamical Systems and Chaos
Introduction to the Theory of Error-Correcting Codes
Partial Differential Equations of Applied Mathematics
An Introduction to Nonlinear Partial Differential Equations
Modern Real and Complex Analysis
Fundamental Structures of Algebra and Discrete Mathematics
Vector Integration and Stochastic Integration in Banach Spaces
A Concrete Approach to Mathematical Modelling
