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The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference.
The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference.
| Erscheinungsjahr: | 2020 |
|---|---|
| Genre: | Biologie |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780367737665 |
| ISBN-10: | 0367737663 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Raghunathan, Trivellore |
| Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
| Verantwortliche Person für die EU: | preigu GmbH & Co. KG, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 12 x 156 x 234 mm |
| Von/Mit: | Trivellore Raghunathan |
| Erscheinungsdatum: | 18.12.2020 |
| Gewicht: | 0,362 kg |