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Bayesian data analysis / Andrew Gelman, John B. Carlin, Hal S. Stern, Donald Rubin
A guide to the conceptualisation and application of Bayesian statistical analyses using modern computational tools. It covers computer simulations, methods for model checking, and the influence of data collection design on inference.
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Accession Number: 9243
Site: Vernon O Content
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Binding Type: Hard Back
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View in Vernon Browser| vernon_accession | 9243 |
| vernon_id | 13034 |
| vernon_slug | bayesian-data-analysis-andrew-gelman-john-b-carlin-hal-s-stern-donald-rubin |
| vernon_authors | Andrew Gelman, John Carlin, Hal Stern, Donald Rubin |
| vernon_tags | Science, Mathematics, Statistics, Bayesian statistical decision theory, Statistical decision |
| vernon_production_date | 1995 |
| vernon_brief_description | This brief record was created for storage and loan purposes only. |
| vernon_object_type | Books/Document genres/Information forms/Visual and Verbal Communication |
| vernon_locations | On Shelf |
| vernon_ob_status | Accessioned |
| vernon_isbn_issn | 0412039915 |
| vernon_subject_people | — |
| vernon_subject_objects | — |
| vernon_subject_classes | — |
| vernon_last_sync_timestamp | 2026-04-25 10:30 |
| vernon_cover_image_id | 49101 |