

Surrogates by Robert B Gramacy
Surrogates is a graduate textbook, on topics at the interface between machine learning,spatial statistics,computer simulation,meta-modeling,design of experiments,and optimization. Experimentation through simulation,management of dynamic processes,online and real-time analysis,automation and practical application are at the forefront.-
Practical Statistics for Medical Research
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Statistical Rethinking
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Bayesian Data Analysis
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Introduction to Probability, Second Edition
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Bayesian Data Analysis, Second Edition
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Introduction to Multivariate Analysis
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An Introduction to Generalized Linear Models, Second Edition
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The Analysis of Time Series
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Statistics for Epidemiology
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An Introduction to Generalized Linear Models, Third Edition
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Statistics for Technology
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Modelling Survival Data in Medical Research
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Epidemiology
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Problem Solving
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An Introduction to Generalized Linear Models, First Edition
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Bayesian Ideas and Data Analysis
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The BUGS Book
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Statistical Methods for Spatial Data Analysis
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Applied Stochastic Modelling
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Time Series
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Probability and Statistical Inference
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Modern Data Science with R
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Statistical Inference
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Design and Analysis of Experiments with R
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Statistics in Research and Development
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An Introduction to Generalized Linear Models
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Applied Non-Parametric Statistical Methods, Second Edition
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Statistics in Engineering
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Practical Longitudinal Data Analysis
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Elements of Simulation
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Bayes Ai and Deep Learning Foundations of Data Science
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Computer-Aided Multivariate Analysis, Fourth Edition
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Applied Nonparametric Statistical Methods, Third Edition
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Statistics in Human Genetics and Molecular Biology
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Pragmatics of Uncertainty
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Markov Chain Monte Carlo
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Surrogates |
| Author | Robert B Gramacy |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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