Quantitative Health Risk Analysis Methods Modeling the Human Health Impacts of Antibiotics Used in Food Animals

Screening Methods for Experimentation in Industry, Drug Discovery, and Genetics

An Introduction to Copulas

Case Studies in Spatial Point Process Modeling

Functional Approach to Optimal Experimental Design

Series Approximation Methods in Statistics

Modeling Financial Time Series with S-PLUS®

Sampling Methods Exercises and Solutions

Estimation of Dependences Based on Empirical Data Empirical Inference Science Afterword of 2006

Sampling Algorithms

Extreme Value Theory An Introduction

Statistical Methods in Counterterrorism Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication

Statistical Analysis of Environmental Space-Time Processes

An Introduction to Bayesian Analysis Theory and Methods

Measure Theory and Probability Theory

Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

Finite Mixture and Markov Switching Models

Dependence in Probability and Statistics

Time Series Analysis and Its Applications With R Examples

Nonparametric Functional Data Analysis Theory and Practice

A Modern Theory of Factorial Designs

Semiparametric Theory and Missing Data

Graphics of Large Datasets Visualizing a Million

Einführung in die Statistik mit EXCEL und SPSS Ein anwendungsorientiertes Lehr- und Arbeitsbuch

Frontiers in Statistical Quality Control 8

The Art of Semiparametrics

Compstat 2006 - Proceedings in Computational Statistics 17th Symposium Held in Rome, Italy, 2006

Statistik mit und ohne Zufall Eine anwendungsorientierte Einführung

Elementi di Probabilità e Statistica

Premiers pas en statistique

Le choix bayésien Principes et pratique

Maîtriser l’aléatoire Exercices résolus de probabilités et statistique

Grouping Multidimensional Data Recent Advances in Clustering

Einführung in die Zeitreihenanalyse

Data Science and Classification

Data Analysis, Classification and the Forward Search Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005

Deskriptive Statistik Eine Einführung in Methoden und Anwendungen mit SPSS

Quantile regression

Principles and practice of structural equation modeling

SPSS uygulamalı zaman serileri analizine giriş

Quantitative risk management : concepts, techniques and tools

Statistics an introduction using R

Probability, statistics, and stochastic processes

JMP start statistics : a guide to statistics and data analysis using JMP and JMP IN software

Experimental statistics

Data analysis of asymmetric structures : advanced approaches in computational statistics

Exploratory data analysis with MATLAB

The engineering handbook

The Schur Complement and Its Applications

Advances in Ranking and Selection, Multiple Comparisons, and Reliability Methodology and Applications

Analysis of Variance for Random Models Volume II: Unbalanced Data Theory, Methods, Applications, and Data Analysis

Functional Data Analysis

Statistical Modeling and Analysis for Complex Data Problems

Branch-and-Bound Applications in Combinatorial Data Analysis

Probabilistic Symmetries and Invariance Principles

Models for Discrete Longitudinal Data

Modern Multidimensional Scaling Theory and Applications

Inference in Hidden Markov Models

Advanced Multivariate Statistics with Matrices

An R and S-PLUS® Companion to Multivariate Analysis

Missing Data and Small-Area Estimation Modern Analytical Equipment for the Survey Statistician

Schließende Statistik Grundlegende Methoden

Elementare Stochastik Eine Einführung in die Mathematik der Daten und des Zufalls

Risk and Asset Allocation

Algorithmic Learning in a Random World

Inference for Change Point and Post Change Means After a CUSUM Test

Permutation, Parametric and Bootstrap Tests of Hypotheses

Probability: A Graduate Course

Introduction to Modern Portfolio optimization with NUOPT and S-PLUS

Using SPSS For Windows Data Analysis and Graphics

Testing Statistical Hypotheses

Statistical and Inductive Inference by Minimum Message Length

Developing Statistical Software in Fortran 95