Series: Lecture Notes in Statistics

Estimation in Conditionally Heteroscedastic Time Series Models

Additives for Plastics

Advances and Challenges in Space-time Modelling of Natural Events

Theory and Application of Uniform Experimental Designs

Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion

Branching Processes and Related Fields

Workshop on Branching Processes and Their Applications

Copula Theory and Its Applications

Dihedral Fourier Analysis

Random Effect and Latent Variable Model Selection

Bilinear Regression Analysis

Series Approximation Methods in Statistics

Modeling and Stochastic Learning for Forecasting in High Dimensions

Inverse Problems and High-Dimensional Estimation

Looking Back

Optimal Experimental Design

Branching Processes and Their Applications

Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data

Statistical Machine Learning for Engineering with Applications

Statistical Challenges in Modern Astronomy V

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

Stochastic Orders in Reliability and Risk

Multivariate Reduced-Rank Regression

Understanding Randomness

Time Series Models

Model-oriented Design of Experiments

Finite Form Representations for Meijer G and Fox H Functions

Understanding Randomness