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A comparison of the Bayesian and frequentist approaches to estimation
This monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having a solid grounding in probability and statistics at the level of the year-long undergraduate course tak...
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| Lenguaje: | eng |
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Springer
2010
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| Acceso en línea: | https://dx.doi.org/10.1007/978-1-4419-5941-6 http://cds.cern.ch/record/1349050 |
| _version_ | 1780922268958851072 |
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| author | Samaniego, Francisco J |
| author_facet | Samaniego, Francisco J |
| author_sort | Samaniego, Francisco J |
| collection | CERN |
| description | This monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having a solid grounding in probability and statistics at the level of the year-long undergraduate course taken by statistics and mathematics majors. The necessary background on Decision Theory and the frequentist and Bayesian approaches to estimation is presented and carefully discussed in Chapters 1-3. The 'threshold problem' - identifying the boundary between Bayes estimators which tend to outperform st |
| id | cern-1349050 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2010 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-13490502021-04-22T00:54:53Zdoi:10.1007/978-1-4419-5941-6http://cds.cern.ch/record/1349050engSamaniego, Francisco JA comparison of the Bayesian and frequentist approaches to estimationMathematical Physics and MathematicsThis monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having a solid grounding in probability and statistics at the level of the year-long undergraduate course taken by statistics and mathematics majors. The necessary background on Decision Theory and the frequentist and Bayesian approaches to estimation is presented and carefully discussed in Chapters 1-3. The 'threshold problem' - identifying the boundary between Bayes estimators which tend to outperform stSpringeroai:cds.cern.ch:13490502010 |
| spellingShingle | Mathematical Physics and Mathematics Samaniego, Francisco J A comparison of the Bayesian and frequentist approaches to estimation |
| title | A comparison of the Bayesian and frequentist approaches to estimation |
| title_full | A comparison of the Bayesian and frequentist approaches to estimation |
| title_fullStr | A comparison of the Bayesian and frequentist approaches to estimation |
| title_full_unstemmed | A comparison of the Bayesian and frequentist approaches to estimation |
| title_short | A comparison of the Bayesian and frequentist approaches to estimation |
| title_sort | comparison of the bayesian and frequentist approaches to estimation |
| topic | Mathematical Physics and Mathematics |
| url | https://dx.doi.org/10.1007/978-1-4419-5941-6 http://cds.cern.ch/record/1349050 |
| work_keys_str_mv | AT samaniegofranciscoj acomparisonofthebayesianandfrequentistapproachestoestimation AT samaniegofranciscoj comparisonofthebayesianandfrequentistapproachestoestimation |