| Tag |
First Indicator |
Second Indicator |
Subfields |
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|a TXAM
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| 100 |
1 |
|
|a Loftus, Stephen C.,
|e author.
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| 245 |
1 |
3 |
|a An introductory handbook of Bayesian thinking /
|c Stephen C. Loftus.
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| 264 |
|
1 |
|a [London] :
|b Academic Press,
|c [2025]
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| 300 |
|
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|a 1 online resource.
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|a Online resource; title from PDF title page (ScienceDirect, viewed July 1, 2024).
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|a As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields. Utilizes real datasets to illustrate Bayesian models and their results Guides readers on coding Bayesian models using the statistical software R, including a helpful introduction and supporting online resource Appropriate for an undergraduate statistics course, as well as for non-statisticians with sufficient mathematical background (integral and differential Calculus and an introductory Statistics course) Covers any more advanced topics which readers may not be familiar with--such as the basic idea of vectors and matrices--as much as needed in order to foster understanding of core concepts.
|
| 650 |
|
0 |
|a Bayesian statistical decision theory
|v Handbooks, manuals, etc.
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| 650 |
|
6 |
|a Théorie de la décision bayésienne
|v Guides, manuels, etc.
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| 655 |
|
7 |
|a Electronic books.
|2 local
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| 710 |
2 |
|
|a ScienceDirect (Online service)
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|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
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| 994 |
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|a Texas A&M University
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| 998 |
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