文档介绍：Springer Series in Statistics
Advisors:
P. Bickel, P. Diggle, S. Fienberg, U. Gather, I. Olkin, S. Zeger
Springer Series in Statistics
Athreya/Lahiri: Measure Theory and Probability Theory
Bilodeau/Brenner: Theory of Multivariate Statistics
Brockwell/Davis: An Introduction to Time Series and Forecasting
Carmona: Statistical Analysis of Financial Data in S-PLUS
Chow/Teicher: Probability Theory: Independence, Interchangeability,Martingales, 3rd ed.
Christensen: Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data;
Nonparametric Regression and Response Surface Maximization, 2nd ed.
Christensen: Log-Linear Models and Logistic Regression, 2nd ed.
Christensen: Plane Answers plex Questions: The Theory of LinearModels, 2nded.
Cryer/Chan: Time Series Analysis, Second Edition
DasGupta: Asymptotic Theory of Statistics and Probability
Davis: Statistical Methods for the Analysis of Repeated Measurements
Dean/Voss: Design and Analysis of Experiments
Dekking/Kraaikamp/Lopuhaa/Meester:¨ A Modern Introduction to Probability and Statistics
Durrett: Essential of Stochastic Processes
Edwards: Introduction to Graphical Modeling, 2nd ed.
Everitt: An R and S-panion to Multivariate Analysis
Gentle: Matrix Algebra: Theory, Computations, and Applications in Statistics
Ghosh/Delampady/Samanta: An Introduction to Bayesian Analysis
Gut: Probability: A Graduate Course
Heiberger/Holland: Statistical Analysis and Data Display; An Intermediate Course with
Examples in S-PLUS, R, and SAS
Jobson: Applied Multivariate Data Analysis, Volume I: Regression andExperimental Design
Jobson: Applied Multivariate Data Analysis, Volume II Categorical and Multivariate
Methods
Karr: Probability
Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems
Kolaczyk: Statistical Analysis work Data
Lange: Applied Probability
Lange: Optimization
Lehmann: Elements of Large Sample Theory
Lehmann/Romano: Testing Statistical Hypotheses, 3rd ed.
Lehmann/Case