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Statistical Theory and Methods
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The concept ** Statistical Theory and Methods** represents the subject, aboutness, idea or notion of resources found in **Boston University Libraries**.

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Statistical Theory and Methods
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**Statistical Theory and Methods**represents the subject, aboutness, idea or notion of resources found in**Boston University Libraries**.- Label
- Statistical Theory and Methods

## Context

Context of Statistical Theory and Methods#### Subject of

- A Course in Mathematical Statistics and Large Sample Theory
- A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem : with Simulations and Examples in SAS®
- A Probability Path
- A beginner's guide to discrete mathematics
- Adaptive Regression for Modeling Nonlinear Relationships
- Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models
- Advanced Statistical Methods in Data Science
- Advanced statistical methods for the analysis of large data-sets
- Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics
- Advances and Challenges in Space-time Modelling of Natural Events
- Advances in Bayesian Networks
- Advances in Complex Data Modeling and Computational Methods in Statistics
- Advances in Growth Curve Models : Topics from the Indian Statistical Institute
- Advances in Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute—Proceedings 2017
- Advances in Latent Variables : Methods, Models and Applications
- Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
- Advances in Statistical Models for Data Analysis
- Advances in Theoretical and Applied Statistics
- Advancing Human Assessment : The Methodological, Psychological and Policy Contributions of ETS
- Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components
- An Introduction to Bartlett Correction and Bias Reduction
- An Introduction to Kolmogorov Complexity and Its Applications
- An Introduction to Order Statistics
- An Introduction to Queueing Theory : Modeling and Analysis in Applications
- An Introduction to Statistical Learning : with Applications in R
- Analysing Inequalities in Germany : A Structured Additive Distributional Regression Approach
- Analysis and Modeling of Complex Data in Behavioral and Social Sciences
- Analysis of Neural Data
- Analysis of Quantised Vortex Tangle
- Analysis of Repeated Measures Data
- Analysis of Survival Data with Dependent Censoring : Copula-Based Approaches
- Analytical Methods in Statistics : AMISTAT, Prague, November 2015
- Analyzing Compositional Data with R
- Applications of Measure Theory to Statistics
- Applied Bayesian Statistics : With R and OpenBUGS Examples
- Applied Multivariate Statistical Analysis
- Applied Statistical Inference : Likelihood and Bayes
- Applied Statistical Methods in Agriculture, Health and Life Sciences
- Applied Statistics for Social and Management Sciences
- Applied Statistics in Biomedicine and Clinical Trials Design : Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings
- Applied Survival Analysis Using R
- Applied multivariate statistical analysis
- Assessing Model-Based Reasoning using Evidence- Centered Design : A Suite of Research-Based Design Patterns
- Astrostatistical Challenges for the New Astronomy
- Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance
- Asymptotics for associated random variables
- Basic Elements of Computational Statistics
- Basics of Modern Mathematical Statistics
- Basics of Modern Mathematical Statistics : Exercises and Solutions
- Bayesian Essentials with R
- Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017
- Bayesian Networks in R : with Applications in Systems Biology
- Bayesian Nonparametric Data Analysis
- Bayesian Optimization for Materials Science
- Bayesian Statistics from Methods to Models and Applications : Research from BAYSM 2014
- Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21
- Bayesian and Frequentist Regression Methods
- Bayesians Versus Frequentists : A Philosophical Debate on Statistical Reasoning
- Big and Complex Data Analysis : Methodologies and Applications
- Bilinear Regression Analysis : An Introduction
- Boosted Statistical Relational Learners : From Benchmarks to Data-Driven Medicine
- Branching Processes and Their Applications
- Brief Guidelines for Methods and Statistics in Medical Research
- Characterizations of Univariate Continuous Distributions
- Characterizing Interdependencies of Multiple Time Series : Theory and Applications
- Classification and Data Mining
- Classification, (Big) Data Analysis and Statistical Learning
- Climate Time Series Analysis : Classical Statistical and Bootstrap Methods
- Combinatorial Matrix Theory and Generalized Inverses of Matrices
- Competing Risks and Multistate Models with R
- Complex Models and Computational Methods in Statistics
- Complex Surveys : Analysis of Categorical Data
- Compositional Data Analysis : CoDaWork, L’Escala, Spain, June 2015
- Computerized Adaptive and Multistage Testing with R : Using Packages catR and mstR
- Concentration Inequalities and Model Selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003
- Contemporary Developments in Statistical Theory : A Festschrift for Hira Lal Koul
- Contingency Table Analysis : Methods and Implementation Using R
- Continuous Strong Markov Processes in Dimension One : A stochastic calculus approach
- Contributions to Sampling Statistics
- Convolution Copula Econometrics
- Copulas and Dependence Models with Applications : Contributions in Honor of Roger B. Nelsen
- Criminal Justice Forecasts of Risk : A Machine Learning Approach
- Data Mining with SPSS Modeler : Theory, Exercises and Solutions
- Data Science : Innovative Developments in Data Analysis and Clustering
- Data Wrangling with R
- Decision Processes by Using Bivariate Normal Quantile Pairs
- Decision Support Using Nonparametric Statistics
- Dependent Data in Social Sciences Research : Forms, Issues, and Methods of Analysis
- Design and Analysis of Experiments
- Design, Analysis, and Interpretation of Genome-Wide Association Scans
- Developments in Statistical Evaluation of Clinical Trials
- Dihedral Fourier Analysis : Data-analytic Aspects and Applications
- Doubly Classified Model with R
- Educational Measurement for Applied Researchers : Theory into Practice
- Elements of Nonlinear Time Series Analysis and Forecasting
- Elements of Probability and Statistics : An Introduction to Probability with de Finetti's Approach and to Bayesian Statistics
- Elliptically Contoured Models in Statistics and Portfolio Theory
- Empirical Agent-Based Modelling - Challenges and Solutions : Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models
- Empirical Modeling and Data Analysis for Engineers and Applied Scientists
- Errors-in-Variables Methods in System Identification
- Essential Statistical Inference : Theory and Methods
- Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models
- Essentials of Stochastic Processes
- Estimation and Inferential Statistics
- Estimation and Testing Under Sparsity : École d'Été de Probabilités de Saint-Flour XLV – 2015
- Estimation of Dependences Based on Empirical Data : Empirical Inference Science Afterword of 2006
- Examples in Parametric Inference with R
- Excel 2016 for Marketing Statistics : A Guide to Solving Practical Problems
- Experimental Design : With Application in Management, Engineering, and the Sciences.
- Exponentiated Distributions
- Fading Foundations : Probability and the Regress Problem
- Forging Connections between Computational Mathematics and Computational Geometry : Papers from the 3rd International Conference on Computational Mathematics and Computational Geometry
- Formulas Useful for Linear Regression Analysis and Related Matrix Theory : It's Only Formulas But We Like Them
- Foundations of Applied Statistical Methods
- Foundations of Quantization for Probability Distributions
- Fractional Fields and Applications
- From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute
- Frontiers of Biostatistical Methods and Applications in Clinical Oncology
- Functional Statistics and Applications : Selected Papers from MICPS-2013
- Functional Statistics and Related Fields
- Functional and Shape Data Analysis
- Fuzzy Statistical Decision-Making : Theory and Applications
- Generalized Hyperbolic Secant Distributions : With Applications to Finance
- Geometric Modeling in Probability and Statistics
- Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment : Challenges, Processes and Strategies
- Grade Models and Methods for Data Analysis : With Applications for the Analysis of Data Populations
- Graphical models with R
- Group-Sequential Clinical Trials with Multiple Co-Objectives
- Growth Curve Models and Applications : Indian Statistical Institute, Giridih, India, March 28-29, 2016
- Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute
- Gröbner Bases : Statistics and Software Systems
- Handbook of Big Data Analytics
- Handbook on Analyzing Human Genetic Data : Computational Approaches and Software
- Handbook on Loss Reserving
- Handling Missing Data in Ranked Set Sampling
- Harmonic Analysis on Symmetric Spaces—Higher Rank Spaces, Positive Definite Matrix Space and Generalizations
- Health Care Systems Engineering for Scientists and Practitioners : HCSE, Lyon, France, May 2015
- Heavy-Tailed Distributions and Robustness in Economics and Finance
- ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers
- Independent Random Sampling Methods
- Indexation and Causation of Financial Markets
- Indirect Questioning in Sample Surveys
- Inference for Diffusion Processes : With Applications in Life Sciences
- Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion
- Information Geometry
- Information Geometry and Its Applications
- Information Geometry and Population Genetics : The Mathematical Structure of the Wright-Fisher Model
- Innovative Trend Methodologies in Science and Engineering
- Interdisciplinary Bayesian Statistics : EBEB 2014
- Introduction to Nonparametric Statistics for the Biological Sciences Using R
- Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control
- Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R
- Introduction to Stochastic Calculus
- Introduction to Time Series and Forecasting
- Introductory Statistical Inference with the Likelihood Function
- Intuitive Introductory Statistics
- L1-Norm and L∞-Norm Estimation : An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures
- Learning Regression Analysis by Simulation
- Lectures on Probability Theory and Statistics : Ecole d’Eté de Probabilités de Saint-Flour XXIX - 1999
- Lectures on Probability Theory and Statistics : Ecole d’Eté de Probabilités de Saint-Flour XXVI-1996
- Lectures on Probability Theory and Statistics : Ecole d’Eté de Probabilités de Saint-Flour XXVIII - 1998
- Lectures on Probability Theory and Statistics : Ecole d’Eté de Probailités de Saint-Flour XXVII - 1997
- Limit Theorems for Multi-Indexed Sums of Random Variables
- Linear Mixed-Effects Models Using R : A Step-by-Step Approach
- Linear Models in Matrix Form : A Hands-On Approach for the Behavioral Sciences
- Linear Regression
- Linear-Quadratic Controls in Risk-Averse Decision Making : Performance-Measure Statistics and Control Decision Optimization
- Long-Memory Processes : Probabilistic Properties and Statistical Methods
- Longitudinal Categorical Data Analysis
- Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics
- Managing safety of heterogeneous systems : decisions under uncertainties and risks
- Marshall ̶ Olkin Distributions - Advances in Theory and Applications : Bologna, Italy, October 2013
- Mathematical Foundations of Time Series Analysis : A Concise Introduction
- Mathematical Problems in Meteorological Modelling
- Mathematical Statistics : Essays on History and Methodology
- Mathematical Statistics and Limit Theorems : Festschrift in Honour of Paul Deheuvels
- Mathematical and Statistical Methods for Actuarial Sciences and Finance
- Mathematics of Planet Earth : Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences
- Matrix Algebra : Theory, Computations and Applications in Statistics
- Matrix-Based Introduction to Multivariate Data Analysis
- Measures of Complexity : Festschrift for Alexey Chervonenkis
- Measures with Symmetry Properties
- Meta-Analytic Structural Equation Modelling
- Metodi di stima in presenza di errori non campionari
- Model Choice in Nonnested Families
- Model-Free Prediction and Regression : A Transformation-Based Approach to Inference
- Modeling Binary Correlated Responses using SAS, SPSS and R
- Modeling Discrete Time-to-Event Data
- Modern Dose-Finding Designs for Cancer Phase I Trials: Drug Combinations and Molecularly Targeted Agents
- Modern Methodology and Applications in Spatial-Temporal Modeling
- Modern Nonparametric, Robust and Multivariate Methods : Festschrift in Honour of Hannu Oja
- Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov
- Modern mathematical statistics with applications
- Monte Carlo and Quasi-Monte Carlo Methods 2012
- Multicriteria and Clustering : Classification Techniques in Agrifood and Environment
- Multiple Testing Procedures with Applications to Genomics
- Multivariate Analysis with LISREL
- Multivariate Methods and Forecasting with IBM® SPSS® Statistics
- Multivariate Statistics : Exercises and Solutions
- Multivariate Time Series With Linear State Space Structure
- New Advances in Statistical Modeling and Applications
- New Advances in Statistics and Data Science
- New Developments in Statistical Modeling, Inference and Application : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR
- New Perspectives in Partial Least Squares and Related Methods
- New Theory of Discriminant Analysis After R. Fisher : Advanced Research by the Feature Selection Method for Microarray Data
- Non-Linear Time Series : Extreme Events and Integer Value Problems
- Nonlinear Principal Component Analysis and Its Applications
- Nonlinear System Identification by Haar Wavelets
- Nonparametric Bayesian Inference in Biostatistics
- Nonparametric Statistics : 2nd ISNPS, Cádiz, June 2014
- Nonparametric Statistics for Applied Research
- OpenStat Reference Manual
- Optimal Mixture Experiments
- Optimization
- Ordered Data Analysis, Modeling and Health Research Methods : In Honor of H. N. Nagaraja's 60th Birthday
- Paradoxes in Probability Theory
- Parameter Estimation in Fractional Diffusion Models
- Parameter Estimation in Stochastic Differential Equations
- Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
- Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data
- Parametric statistical change point analysis : with applications to genetics, medicine, and finance
- Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications
- Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics
- Penalty, Shrinkage and Pretest Strategies : Variable Selection and Estimation
- Permutation Statistical Methods : An Integrated Approach
- Permutation Tests in Shape Analysis
- Person-Centered Methods : Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables
- Practical Considerations for Adaptive Trial Design and Implementation
- Practical Tools for Designing and Weighting Survey Samples
- Principal Component Analysis Networks and Algorithms
- Principal Component Regression for Crop Yield Estimation
- Prior Processes and Their Applications : Nonparametric Bayesian Estimation
- Probability Approximations and Beyond
- Probability Distributions : With Truncated, Log and Bivariate Extensions
- Probability for Statisticians
- Probability with Applications in Engineering, Science, and Technology
- Probability with Statistical Applications
- Probability: A Graduate Course : A Graduate Course
- Pseudo-Populations : A Basic Concept in Statistical Surveys
- Quantile-Based Reliability Analysis
- Quantitative Analysis and IBM® SPSS® Statistics : A Guide for Business and Finance
- Quantitative Psychology : The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017
- Quantitative Psychology Research : The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
- Rankings and Preferences : New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications
- Recent Developments in Modeling and Applications in Statistics
- Recent Studies on Risk Analysis and Statistical Modeling
- Records via Probability Theory
- Regression : Models, Methods and Applications
- Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
- Regression analysis under a priori parameter restrictions
- Reliability Physics and Engineering : Time-To-Failure Modeling
- Renewal Processes
- Research Methodology : The Aims, Practices and Ethics of Science
- Risk Management in Architectural Design : Control of Uncertainty over Building Use and Maintenance
- Robust Multivariate Analysis
- Robust Rank-Based and Nonparametric Methods : Michigan, USA, April 2015: Selected, Revised, and Extended Contributions
- Robust and Distributed Hypothesis Testing
- Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather
- Robustness in Statistical Forecasting
- SPSS for Starters : SPSS for Starters
- SPSS for Starters and 2nd Levelers
- Sample Size Determination in Clinical Trials with Multiple Endpoints
- Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
- Sampling Spatial Units for Agricultural Surveys
- Science Dynamics and Research Production : Indicators, Indexes, Statistical Laws and Mathematical Models
- Seamless R and C++ Integration with Rcpp
- Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
- Selected Works of David Brillinger
- Selected Works of E. L. Lehmann
- Selected Works of Peter J. Bickel
- Selected Works of Terry Speed
- Selected Works of Willem van Zwet
- Separating Information Maximum Likelihood Method for High-Frequency Financial Data
- Sequential Experimentation in Clinical Trials : Design and Analysis
- Simultaneous Statistical Inference : With Applications in the Life Sciences
- Singular Spectrum Analysis for Time Series
- Singular Spectrum Analysis with R
- Six Sigma for Organizational Excellence : A Statistical Approach
- Smoothing Spline ANOVA Models
- Stable Convergence and Stable Limit Theorems
- State-Space Models : Applications in Economics and Finance
- Statistical Analysis and Data Display : An Intermediate Course with Examples in R
- Statistical Analysis for High-Dimensional Data : The Abel Symposium 2014
- Statistical Analysis of Climate Series : Analyzing, Plotting, Modeling, and Predicting with R
- Statistical Analysis of Financial Data in R
- Statistical Analysis of Network Data with R
- Statistical Analysis of Panel Count Data
- Statistical Analysis with Measurement Error or Misclassification : Strategy, Method and Application
- Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics : Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
- Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research
- Statistical Data Analysis Using SAS : Intermediate Statistical Methods
- Statistical Disclosure Control for Microdata : Methods and Applications in R
- Statistical Distributions : Applications and Parameter Estimates
- Statistical Estimation for Truncated Exponential Families
- Statistical Inference for Discrete Time Stochastic Processes
- Statistical Learning Theory and Stochastic Optimization : Ecole d’Eté de Probabilités de Saint-Flour XXXI - 2001
- Statistical Learning from a Regression Perspective
- Statistical Methods for Astronomical Data Analysis
- Statistical Methods for Ranking Data
- Statistical Modeling and Computation
- Statistical Modeling for Degradation Data
- Statistical Modelling in Biostatistics and Bioinformatics : Selected Papers
- Statistical Modelling of Survival Data with Random Effects : H-Likelihood Approach
- Statistical Models for Data Analysis
- Statistical Models for Proportions and Probabilities
- Statistical Research Methods : A Guide for Non-Statisticians
- Statistical Theory and Inference
- Statistics and Analysis of Scientific Data
- Statistics and Data Analysis for Financial Engineering : with R examples
- Statistics and Measurement Concepts with OpenStat
- Statistics and Simulation : IWS 8, Vienna, Austria, September 2015
- Statistics and its Applications : Platinum Jubilee Conference, Kolkata, India, December 2016
- Statistics for Mathematicians : A Rigorous First Course
- Statistics for Non-Statisticians
- Statistics in Early Childhood and Primary Education : Supporting Early Statistical and Probabilistic Thinking
- Stochastic Geometry, Spatial Statistics and Random Fields : Asymptotic Methods
- Stochastic Models for Time Series
- Stochastic Models, Statistics and Their Applications : Wrocław, Poland, February 2015
- Stochastic Orders in Reliability and Risk : In Honor of Professor Moshe Shaked
- Strategic Economic Decision-Making : Using Bayesian Belief Networks to Solve Complex Problems
- Studies in Theoretical and Applied Statistics : SIS 2016, Salerno, Italy, June 8-10
- Surplus Analysis of Sparre Andersen Insurance Risk Processes
- Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
- The Art of Progressive Censoring : Applications to Reliability and Quality
- The Basics of Item Response Theory Using R
- The Concept of Reduction
- The Contribution of Young Researchers to Bayesian Statistics : Proceedings of BAYSM2013
- The Cox Model and Its Applications
- The Econometrics of Multi-dimensional Panels : Theory and Applications
- The Fascination of Probability, Statistics and their Applications : In Honour of Ole E. Barndorff-Nielsen
- The Gini Methodology : A Primer on a Statistical Methodology
- The Information Theory of Comparisons : With Applications to Statistics and the Social Sciences
- The Linear Model and Hypothesis : A General Unifying Theory
- The Manual of Strategic Economic Decision Making : Using Bayesian Belief Networks to Solve Complex Problems
- The Methods of Distances in the Theory of Probability and Statistics
- The Multiple Facets of Partial Least Squares and Related Methods : PLS, Paris, France, 2014
- The Significance Test Controversy Revisited : The Fiducial Bayesian Alternative
- The Uncertainty Analysis of Model Results : A Practical Guide
- The Work of Raymond J. Carroll : The Impact and Influence of a Statistician
- Theoretical Aspects of Spatial-Temporal Modeling
- Theory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications
- Theory of Nonparametric Tests
- Time Series Modeling for Analysis and Control : Advanced Autopilot and Monitoring Systems
- Topics from Australian Conferences on Teaching Statistics : OZCOTS 2008-2012
- Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
- Topics in Nonparametric Statistics : Proceedings of the First Conference of the International Society for Nonparametric Statistics
- Topics in Percolative and Disordered Systems
- Topics in Statistical Simulation : Research Papers from the 7th International Workshop on Statistical Simulation
- Topics in Theoretical and Applied Statistics
- Topics on Methodological and Applied Statistical Inference
- Topological Complexity of Smooth Random Functions : École d'Été de Probabilités de Saint-Flour XXXIX-2009
- Topological and Statistical Methods for Complex Data : Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
- Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey
- Two-way analysis of variance : statistical tests and graphics using R
- U-Statistics, Mm-Estimators and Resampling
- Uncertainty : The Soul of Modeling, Probability & Statistics
- Understanding Markov Chains : Examples and Applications
- Understanding Markov Chains : Examples and Applications
- Universal Coding and Order Identification by Model Selection Methods
- Using Statistics in Social Research : A Concise Approach
- Vector Generalized Linear and Additive Models : With an Implementation in R
- Visualizing Time : Designing Graphical Representations for Statistical Data
- Wavelets in Functional Data Analysis
- Working with the American Community Survey in R : A Guide to Using the acs Package
- XI Symposium on Probability and Stochastic Processes : CIMAT, Mexico, November 18-22, 2013
- 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
- mODa 11 - Advances in Model-Oriented Design and Analysis : Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016

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