Challenges at the Interface of Data Analysis, Computer Science, and Optimization Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

Fast Compact Algorithms and Software for Spline Smoothing

Optimizing the display and interpretation of data

Machine Learning A Practical Approach on the Statistical Learning Theory

Computing with Data An Introduction to the Data Industry

Fundamentals of Probability and Stochastic Processes with Applications to Communications

Probabilistic Cellular Automata Theory, Applications and Future Perspectives

EnvStats An R Package for Environmental Statistics

Robustness in Statistical Forecasting

Between Certainty and Uncertainty Statistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples

Statistical Analysis of Climate Series Analyzing, Plotting, Modeling, and Predicting with R

Bayesian Networks in R with Applications in Systems Biology

The R Software Fundamentals of Programming and Statistical Analysis

Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference

Excel 2010 for Physical Sciences Statistics A Guide to Solving Practical Problems

Optimal Stochastic Control Schemes within a Structural Reliability Framework

Long-Range Dependence and Sea Level Forecasting

The Naïve Bayes Model for Unsupervised Word Sense Disambiguation Aspects Concerning Feature Selection

Quantile-Based Reliability Analysis

Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.

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

Optimization

Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

Advances in Theoretical and Applied Statistics

Introduction to Probability and Statistics for Engineers

Basiswissen Statistik Kompaktkurs für Anwender aus Wirtschaft, Informatik und Technik

Seamless R and C++ Integration with Rcpp

Applied Spatial Data Analysis with R

Stochastic World

mODa 10 – Advances in Model-Oriented Design and Analysis Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013

Ship and Offshore Structure Design in Climate Change Perspective

Analyzing Compositional Data with R

Basics of Bioinformatics Lecture Notes of the Graduate Summer School on Bioinformatics of China

Handling Missing Data in Ranked Set Sampling

Gröbner Bases Statistics and Software Systems

Die Macht der Daten Wie Information unser Leben bestimmt

Community Structure of Complex Networks

Long-Memory Processes Probabilistic Properties and Statistical Methods

An Introduction to Order Statistics

Solving Differential Equations in R

Handbook of Computational Finance

Computational Cancer Biology An Interaction Network Approach

Statistics for High-Dimensional Data Methods, Theory and Applications

Bayesian Theory and Methods with Applications

Le logiciel R Maîtriser le langage Effectuer des analyses statistiques

Classification and Multivariate Analysis for Complex Data Structures

A Tiny Handbook of R

Statistical Image Processing and Multidimensional Modeling

R for SAS and SPSS Users

Basiswissen Statistik Kompaktkurs für Anwender aus Wirtschaft, Informatik und Technik

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

Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008

Applied Probability

Introducing Monte Carlo Methods with R

Anwendungsorientierte Mathematik: Von Daten zur Funktion. Eine Einführung in die mathematische Modellbildung für Lehramtsstudierende

Statistics for Innovation Statistical Design of “Continuous” Product Innovation

Maximum Penalized Likelihood Estimation Volume II: Regression

Information Theory and Statistical Learning

Data Modeling for Metrology and Testing in Measurement Science

Introduction to Nonparametric Estimation

Bayesian Computation with R

R for SAS and SPSS Users

Introductory Time Series with R

A First Course in Bayesian Statistical Methods

Principles and Theory for Data Mining and Machine Learning

Social Computing and Behavioral Modeling

Encyclopedia of GIS

Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis

Information Criteria and Statistical Modeling

Analysis of Integrated and Cointegrated Time Series with R

Precision Landmark Location for Machine Vision and Photogrammetry Finding and Achieving the Maximum Possible Accuracy

Progress in Geomathematics

Mathematics – Key Technology for the Future Joint Projects Between Universities and Industry 2004–2007

Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007

Simulation and Inference for Stochastic Differential Equations With R Examples

Social Computing, Behavioral Modeling, and Prediction

Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

Advances in Mathematical and Statistical Modeling

Linear Models and Generalizations Least Squares and Alternatives

Robust Signal Processing for Wireless Communications

Recent Advances in Linear Models and Related Areas Essays in Honour of Helge Toutenburg

COMPSTAT 2008 Proceedings in Computational Statistics

Linear Estimation and Detection in Krylov Subspaces

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Bayesian Networks and Decision Graphs February 8, 2007

Multivariate Statistics Exercises and Solutions

Data Mining A Knowledge Discovery Approach

Bayesian Computation with R

Information and Complexity in Statistical Modeling

Data Quality and Record Linkage Techniques

Case-Based Approximate Reasoning

Matrix Algebra Theory, Computations, and Applications in Statistics