Математика
A User's Guide to Principal Components
Image Processing and Jump Regression Analysis
Probability and Statistics for Computer Science
Time Series Data Analysis Using EViews
Essentials of Mathematical Methods in Science and Engineering
The A to Z of Mathematics
A Concrete Approach to Mathematical Modelling
Vector Integration and Stochastic Integration in Banach Spaces
Fundamental Structures of Algebra and Discrete Mathematics
Modern Real and Complex Analysis
An Introduction to Nonlinear Partial Differential Equations
Partial Differential Equations of Applied Mathematics
Introduction to the Theory of Error-Correcting Codes
Introduction to Discrete Dynamical Systems and Chaos
Logic-Based Methods for Optimization
Partial Differential Equations and the Finite Element Method
Numerical Methods in Finance and Economics
Statistical Estimation of Epidemiological Risk
Maximum Likelihood Estimation and Inference
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