Page 3 - Applied Probability
P. 3
Springer Texts in Statistics
Alfrd: Elements of Statistics for the Life and Social Sciences
Berger: An Introduction to Probability and Stochastic Processes
Bilodeau and Brenner: Theory of Multivariate Statistics
Blom: Probability and Statistics: Theory and Applications
Brockwell and Davis: Introduction to Times Series and Forecasting,
Second Edition
Chow and Teicher: Probability Theory: Independence, Interchangeability,
Martingales, Third Edition
Chrisfensen: Advanced Linear Modeliig: Multivariate, Time Series, and
Spatial Data-Nonparamekic Regression and Response Surface
Maximization, Second Edition
Chrisfensen: Log-Linear Models and Lagistic Regression, Second Edition
Chrisfensen: Plane Answers to Complex Questions: The Theory of Linear
Models, Third Edition
Creighfon: A First Course in Probability Models and Statistical Inference
Davis.' Statistical Methods for the Analysis of Repeated Measurements
Dean and Vow Design and Analysis of Experiments
du Toif, Sfqn, and Stump$ Graphical Exploratory Data Analysis
Durreft: Essentials of Stochastic Processes
Edwarak Introduction to Graphical Modelling, Second Edition
Finkelstein and Levin: Statistics for Lawyers
Flury: A First Course in Multivariate Statistics
Jobson: Applied Multivariate Data Analysis, Volume I Regression and
Experimental Design
Jobson: Applied Multivariate Data Analysis, Volume 11: Categorical and
Multivariate Methods
Kulbjleisch: Probability and Statistical Inference, Volume I: Probability,
Second Edition
Kalbjleisch: Probability and Statistical Inference, Volume 11: Statistical Inference,
Second Edition
Karr: Probability
Kqfifz: Applied Mathematical Demography, Second Edition
Kiefer: Introduction to Statistical Inference
Kokoska and Nevison: Statistical Tables and Formulae
Kulhrni: Modeling, Analysis, Design, and Control of Stochastic Systems
Lunge: Applied Probability
Lehmann: Elements of Large-Sample Theory
Lehmann: Testing statistical Hypotheses, Second Edition
Lehmann and CareNa: Theory of Point Estimation, Second Edition
Lindman: Analysis of Variance in Experimental Design
Lindsey: Applying Generalized Linear Models
(continued aJler index)