Computational & Graphical Statistics

56 publications in Computational & Graphical Statistics

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  1. Advanced Markov Chain Monte Carlo Methods: Learning from Past SamplesBook
  2. Bayesian Networks: A Practical Guide to ApplicationsBook
  3. Bayesian Networks: An IntroductionBook
  4. Computational and Statistical Methods for Protein Quantification by Mass SpectrometryBook
  5. Computational Statistics, Second EditionBook
  6. Data Analysis: What Can Be Learned From the Past 50 YearsBook
  7. Data Mining Using SAS® Enterprise Miner™Book
  8. An Elementary Introduction to Statistical Learning TheoryBook
  9. Fractal-Based Point ProcessesBook
  10. Fundamentals of Exploratory Analysis of VarianceBook
  11. Graphical Models: Representations for Learning, Reasoning and Data Mining, Second EditionBook
  12. Guidebook to R Graphics Using Microsoft® WindowsBook
  13. Handbook of Computational EconometricsBook
  14. Handbook of Real-World Applications in Modeling and SimulationBook
  15. Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDLBook
  16. An Introduction to Regression GraphicsBook
  17. Introduction to Statistics through Resampling Methods and Microsoft Office ExcelBook
  18. Introduction to Statistics through Resampling Methods and R/S-Plus®Book
  19. Large-Scale Inverse Problems and Quantification of UncertaintyBook
  20. LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic GraphicsBook
  21. Making Sense of Data III: A Practical Guide to Designing Interactive Data VisualizationsBook
  22. Modeling and Simulation for Analyzing Global EventsBook
  23. Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical DomainsBook
  24. Modern Applied U-StatisticsBook
  25. Optimal Design of Experiments: A Case Study ApproachBook
  26. Principles of Modeling and Simulation: A Multidisciplinary ApproachBook
  27. Problem Solving and Data Analysis using Minitab: A clear and easy guide to Six Sigma methodologyBook
  28. Random Graphs for Statistical Pattern RecognitionBook
  29. Regression Graphics: Ideas for Studying Regressions Through GraphicsBook
  30. Robust Regression and Outlier DetectionBook
  31. Robust Statistics: The Approach Based on Influence FunctionsBook
  32. Robust StatisticsBook
  33. Robust Statistics, Second EditionBook
  34. Self-Similar Processes in TelecommunicationsBook
  35. Simulation: A Modeler's ApproachBook
  36. Simulation and Monte Carlo: With Applications in Finance and MCMCBook
  37. Simulation and the Monte Carlo MethodBook
  38. Smoothing of Multivariate Data: Density Estimation and VisualizationBook
  39. Spatial Analysis along Networks: Statistical and Computational MethodsBook
  40. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional PropertiesBook

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