| 000 -LEADER |
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| fixed length control field |
02036 a2200265 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20180219104000.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180131b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| ISBN |
9780521861601 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
IIT Kanpur |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.2 |
| Item number |
Sch97c |
| 100 ## - MAIN ENTRY--AUTHOR NAME |
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| Personal name |
Schweder, Tore |
| 245 ## - TITLE STATEMENT |
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| Title |
Confidence, likelihood, probability |
| Remainder of title |
statistical inference with confidence distributions |
| Statement of responsibility, etc |
Tore Schweder and Nils Lid Hjort |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher |
Cambridge University Press |
| Year of publication |
2016 |
| Place of publication |
New York |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Number of Pages |
xx, 500 |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Title |
Cambridge series in statistical and probabilistic mathematics |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
/ edited by Z. Ghahramani ; no.41 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This lively book lays out a methodology of confidence distributions and puts them through their paces. Among other merits, they lead to optimal combinations of confidence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for less subjectively inclined statisticians. The generous mixture of theory, illustrations, applications and exercises is suitable for statisticians at all levels of experience, as well as for data-oriented scientists. Some confidence distributions are less dispersed than their competitors. This concept leads to a theory of risk functions and comparisons for distributions of confidence. Neyman–Pearson type theorems leading to optimal confidence are developed and richly illustrated. Exact and optimal confidence distribution is the gold standard for inferred epistemic distributions. Confidence distributions and likelihood functions are intertwined, allowing prior distributions to be made part of the likelihood. Meta-analysis in likelihood terms is developed and taken beyond traditional methods, suiting it in particular to combining information across diverse data sources. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Mathematical statistics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Term |
Probability |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Term |
Applied statistics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Term |
Observed confidence levels (Statistics) |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Hjort, Nils Lid |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Books |
