The statistical analysis of small data sets / (Record no. 608014)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02322nam a22003255i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 23414530 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251124090919.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231206s2024 nyu 000 0 eng |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 23414530 |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2023951708 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780198872979 |
| Qualifying information | (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780198872979 |
| Qualifying information | (paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9780198872993 |
| Qualifying information | (ebook other) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9780191983832 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Neuhäuser, Markus, |
| Relator term | author. |
| 245 14 - TITLE STATEMENT | |
| Title | The statistical analysis of small data sets / |
| Statement of responsibility, etc | Markus Neuhäuser, Graeme D Ruxton. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2409 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | New York : |
| Name of producer, publisher, distributor, manufacturer | Oxford University Press, |
| Date of production, publication, distribution, manufacture | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | pages cm |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | unmediated |
| Media Type Code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | volume |
| Carrier Type Code | nc |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can cause researchers to particularly seek the most powerful methods to analyse their data; but they may be wary that some methodologies rely on assumptions that may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement. This should help researchers to analyse such data sets, but also to evaluate and interpret others' analyses. Potential challenges associated with a small sample and ways how these challenges can be mitigated are discussed. Generally, approaches that are often not especially difficult to apply are preferred, a focus is on permutation tests and bootstrap methods. However, topics such as meta-analysis, sequential and adaptive designs and multiple testing are also discussed. The focus is on frequentist methods, but Bayesian analyses are also covered. R code is presented to carry out the proposed methods, many of them are not limited to use on small data sets. Approaches to compute the power or the necessary sample size, respectively, are also given"-- |
| -- | Provided by publisher. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ruxton, Graeme D, |
| Relator term | author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 0 |
| b | ibc |
| c | orignew |
| d | 2 |
| e | epcn |
| f | 20 |
| g | y-gencatlg |
| 925 0# - | |
| -- | acquire |
| -- | 1 shelf copy |
| -- | policy default |
| 999 ff - SYSTEM CONTROL NUMBERS (KOHA) | |
| -- | 4cee27db-41f9-5350-b2a7-b788d236d723 |
| -- | c85d9a37-ae94-4ad1-8235-d965febf01bd |
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