Page 378 - Applied Probability

Springer Texts in Statistics (conlinucdfrom pap ii)
Madansky.. Prescriptions for Working Statisticians
McPherson: Applying and Interpreting Statistics: A Comprehensive Guide,
Second Edition
Mueller: Basic Principles of Shuctural Equation Modeling: An Introduction to
LISREL and EQS
Nguyen and Rogers: Fundamentals of Mathematical Statistics: Volume I:
Probability for Statistics
Nguyen and Rogers: Fundamentals of Mathematical Statistics: Volume I1
Statistical Inference
Noether; Introduction to Statistics: The Nonparametric Way
Nolan and Speed: Stat Labs: Mathematical Statistics Through Applications
Peters: Counting for Something: Statistical Principles and Personalities
P’eifler: Probability for Applications
Pitman: Probability
Rawlings, Pantula and Dickey: Applied Regression Analysis
Robert: The Bayesian Choice: From Decision-Theoretic Foundations to
Computational Implementation, Second Edition
Robert and Casella: Monte Carlo Statistical Methods
Rose und Smith: Mathematical Statistics with Muthematica
Santner and DUB: The Statistical Analysis of Discrete Data
Saville and Wood: Statistical Methods: The Geometric Approach
Sen and Srivaslava: Regression Analysis: Theory, Methods, and Applications
Shao: Mathematical Statistics
Shorack: Probability for Statisticians
Shumwuy andStoffer: Time Series Analysis and Its Applications
Terrell: Mathematical Statistics: A Unified Introduction
Tiinmt Applied Multivariate Analysis
Toutenburg: Statistical Analysis of Designed Experiments, Second Edition
Whittle: Probability via Expectation, Fourth Edition
Zacks: Introduction to Reliability Analysis: Probability Models
and Statistical Methods