Statistical methods for groundwater monitoring

Time series data analysis using EViews

Uncertainty modeling in dose response bench testing environmental toxicity

Statistical and methodological aspects of oral health research

R for SAS and SPSS users

An introduction to optimal designs for social and biomedical research

Statistical DNA forensics methodology and computation

Financial surveillance

Statistical methods in e-commerce research

Statistical practice in business and industry

Bayesian networks a practical guide to applications

Statistical development of quality in medicine

Geostatistics for environmental scientists

Statistical framework for recreational water quality criteria and monitoring

Missing data in clinical studies

Statistical issues in drug development

Bioequivalence studies in drug development methods and applications

Introduction to distribution logistics

Statistical framework for recreational water quality criteria and monitoring

Psychometrics

Correspondence analysis in practice

Sampling techniques for forest inventories

Applied mixed models in medicine

Statistical analysis of cost-effectiveness data

Statistical methods for dose-finding experiments

Simulation techniques in financial risk management

Bayesian networks and probabilistic inference in forensic science

Competing risks a practical perspective

Uncertain judgements eliciting experts' probabilities

Selection bias and covariate imbalances in randomzied clinical trials

Weight-of-evidence for forensic DNA profiles

Statistical estimation of epidemiological risk

Practical methods for design and analysis of complex surveys

Bayesian approaches to clinical trials and health-care evaluation

Statistical tools for environmental quality measurement

Disease mapping with WinBUGS and MLwiN

Meta-analysis of controlled clinical trials

Data monitoring committees in clinical trials a practical perspective

Cross-over trials in clinical research

Random evolutionary systems : asymptotic properties and large deviations

Bayesian and Frequentist Regression Methods

Linear Mixed-Effects Models Using R A Step-by-Step Approach

Smoothing Spline ANOVA Models

Sequential Experimentation in Clinical Trials Design and Analysis

ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers

Stochastic Orders in Reliability and Risk In Honor of Professor Moshe Shaked

Risk Assessment and Evaluation of Predictions

Copulae in Mathematical and Quantitative Finance Proceedings of the Workshop Held in Cracow, 10-11 July 2012

The Gini Methodology A Primer on a Statistical Methodology

Essential Statistical Inference Theory and Methods

Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Optimization

Design of Experiments in Nonlinear Models Asymptotic Normality, Optimality Criteria and Small-Sample Properties

An Introduction to Statistical Learning with Applications in R

Nonlinear System Identification by Haar Wavelets

Multivariate Methods of Representing Relations in R for Prioritization Purposes Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets

Statistical Challenges in Modern Astronomy V

Essentials of Stochastic Processes

Inference for Functional Data with Applications

Advances and Challenges in Space-time Modelling of Natural Events

Inequalities: Theory of Majorization and Its Applications

Ranking and Prioritization for Multi-indicator Systems Introduction to Partial Order Applications

Looking Back Proceedings of a Conference in Honor of Paul W. Holland

Plane Answers to Complex Questions The Theory of Linear Models

Inverse Problems and High-Dimensional Estimation Stats in the Château Summer School, August 31 - September 4, 2009

Introduction to Modeling and Analysis of Stochastic Systems

Statistical Image Processing and Multidimensional Modeling

Composite Sampling A Novel Method to Accomplish Observational Economy in Environmental Studies

Time Series Analysis and Its Applications With R Examples

Dynamic Mixed Models for Familial Longitudinal Data

Targeted Learning Causal Inference for Observational and Experimental Data

Synthetic Datasets for Statistical Disclosure Control Theory and Implementation

Generalized Estimating Equations

Multivariate Nonparametric Methods with R An approach based on spatial signs and ranks