Overview of Bayesian Approach to Statistical Methods - Brossura

Renganathan, Vinaitheerthan

 
9789356201187: Overview of Bayesian Approach to Statistical Methods
Brossura
ISBN 10: 9356201188 ISBN 13: 9789356201187
Casa editrice: Vinaitheerthan Renganathan, 2022

Sinossi

Statistical methods are being used in different fields such as Business & Economics, Engineering, Clinical & Pharmaceutical research including the emerging fields such as Machine Learning and Artificial Intelligence. Statistical methods based on the traditional frequentist approach are currently being use in these fields. With the emergence of high end computing nowadays Bayesian approach to Statistical Methods also being used in different fields.


Bayesian approach involves prior, likelihood and posterior concepts in carrying out the statistical analysis. Bayesian methods assume model parameters as random as opposed to fixed in frequentist approach. It is useful even when the sample size is small. One of the drawbacks of Bayesian method is it involves subjectivity in carrying out the analysis.


With the availability of advanced computing technologies, implementation of Bayesian methods is possible using Markov Chain Monte Carlo (MCMC) methods.
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This book provides an overview of Bayesian approaches to statistical methods and uses open source software R for carrying out analysis using sample data sets which can be downloaded from author’s website.


Vinaitheerthan Renganathan

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Editore
Vinaitheerthan Renganathan
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
9356201188
ISBN 13 
9789356201187
Rilegatura
Copertina flessibile
Numero di pagine
100
Contatto del produttore
Manufactured by Amazon on behalf of the author
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