Bayesian.Logical.Data.Analysis.for.the.Physical.Sciences.A.Comparative.Approach.With.Mathematica.Support

Description

Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. By encompassing both inductive and deductive logic, Bayesian analysis can improve model parameter estimates by many orders of magnitude. It provides a simple and unified approach to all data analysis problems, allowing the experimenter to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. The book also discusses numerical techniques for implementing the Bayesian calculations, including an introduction to Markov Chain Monte-Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian perspective. In addition, background material is provided in appendices and supporting Mathematica notebooks are available, providing an easy learning route for upper-undergraduates, graduate students, or any serious researcher in physical sciences or engineering.
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1. Ebooks list page : 295
2. Bayesian Logical Data Analysis for the Physical Sciences A Comparative Approach With Mathematica Support
3. Data Reduction and Error Analysis for the Physical Sciences
4. Data Reduction and Error Analysis for the Physical Sciences
5. Data Reduction and Error Analysis for the Physical Sciences
6. Data Analysis: A Bayesian Tutorial
7. Data Analysis: A Bayesian Tutorial (ReUp)
8. Bayesian Reasoning in Data Analysis: A Critical Introduction
9. Bayesian Analysis of Gene Expression Data (Statistics in Practice)
10. Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statisti
11. Data Analysis and Decision Support
12. Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Monographs on Statistics and
13. [request_ebook] Bayesian Methods for Data Analysis, Third Edition (Texts in Statistical Science Series)
14. Statistics and Data Analysis For Behavioral Sciences
15. A Practical Guide to Data Analysis for Physical Science Students
16. Geomatic Methods for the Analysis of Data in the Earth Sciences