Tag statistics-analysis
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- Verification and Validation for Modeling and Simulation by Jeffrey Strickland
- Fundamentals of Verification and Validation by Patrick J. Roache
- Deconvolution Problems in Nonparametric Statistics by Alexander Meister
- Introduction to Statistics Through Resampling Methods and R by Phillip I. Good
- Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification by National Research Council
- Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Multivariate Analysis) (Volume 1) by Mr. Alboukadel Kassambara
- Sensitivity Analysis by A. Saltelli
- Bayesian Networks: With Examples in R by Marco Scutari
- Ensemble Methods: Foundations and Algorithms by Zhi-Hua Zhou
- Graphical Models with R by Søren Højsgaard
- Inspection Errors for Attributes in Quality Control (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Norman L. Johnson
- Measurement Error: Models, Methods, and Applications by John P. Buonaccorsi
- An Introduction to Applied Multivariate Analysis with R by Brian Everitt
- An R Companion to Applied Regression by John Fox
- How to Perform Continuous Sampling (Asqc Basic References in Quality Control, Vol 2) by Kenneth S. Stephens
- Probabilistic Graphical Models: Principles and Techniques by Daphne Koller
- Logistic Regression Models by Joseph M. Hilbe
- Response Surface Methodology: Process and Product Optimization Using Designed Experiments by Raymond H. Myers
- Sensitivity and Uncertainty Analysis, Volume II: Applications to Large-Scale Systems by Dan G. Cacuci
- R for SAS and SPSS Users by Robert A. Muenchen
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