The Matching Methodology: Some Statistical Properties:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1989
|
| Schriftenreihe: | Lecture Notes in Statistics
52 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful |
| Beschreibung: | 1 Online-Ressource (VIII, 152p. 45 illus) |
| ISBN: | 9781461236429 9780387969701 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-3642-9 |
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| 500 | |a Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Goel, Prem K. |
| author_facet | Goel, Prem K. |
| author_role | aut |
| author_sort | Goel, Prem K. |
| author_variant | p k g pk pkg |
| building | Verbundindex |
| bvnumber | BV042420142 |
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| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-3642-9 |
| format | Electronic eBook |
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| id | DE-604.BV042420142 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:06Z |
| institution | BVB |
| isbn | 9781461236429 9780387969701 |
| issn | 0930-0325 |
| language | English |
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| spelling | Goel, Prem K. Verfasser aut The Matching Methodology: Some Statistical Properties by Prem K. Goel, Thirugnanasambandam Ramalingam New York, NY Springer New York 1989 1 Online-Ressource (VIII, 152p. 45 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 52 0930-0325 Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful Statistics Statistics, general Statistik Unvollkommenheit (DE-588)4220265-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Datenerhebung (DE-588)4155272-6 gnd rswk-swf Datenverknüpfung (DE-588)4788710-2 gnd rswk-swf Matching (DE-588)4212483-9 gnd rswk-swf Matching (DE-588)4212483-9 s Statistik (DE-588)4056995-0 s 1\p DE-604 Unvollkommenheit (DE-588)4220265-6 s 2\p DE-604 Datenerhebung (DE-588)4155272-6 s 3\p DE-604 Datenverknüpfung (DE-588)4788710-2 s 4\p DE-604 Ramalingam, Thirugnanasambandam Sonstige oth https://doi.org/10.1007/978-1-4612-3642-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Goel, Prem K. The Matching Methodology: Some Statistical Properties Statistics Statistics, general Statistik Unvollkommenheit (DE-588)4220265-6 gnd Statistik (DE-588)4056995-0 gnd Datenerhebung (DE-588)4155272-6 gnd Datenverknüpfung (DE-588)4788710-2 gnd Matching (DE-588)4212483-9 gnd |
| subject_GND | (DE-588)4220265-6 (DE-588)4056995-0 (DE-588)4155272-6 (DE-588)4788710-2 (DE-588)4212483-9 |
| title | The Matching Methodology: Some Statistical Properties |
| title_auth | The Matching Methodology: Some Statistical Properties |
| title_exact_search | The Matching Methodology: Some Statistical Properties |
| title_full | The Matching Methodology: Some Statistical Properties by Prem K. Goel, Thirugnanasambandam Ramalingam |
| title_fullStr | The Matching Methodology: Some Statistical Properties by Prem K. Goel, Thirugnanasambandam Ramalingam |
| title_full_unstemmed | The Matching Methodology: Some Statistical Properties by Prem K. Goel, Thirugnanasambandam Ramalingam |
| title_short | The Matching Methodology: Some Statistical Properties |
| title_sort | the matching methodology some statistical properties |
| topic | Statistics Statistics, general Statistik Unvollkommenheit (DE-588)4220265-6 gnd Statistik (DE-588)4056995-0 gnd Datenerhebung (DE-588)4155272-6 gnd Datenverknüpfung (DE-588)4788710-2 gnd Matching (DE-588)4212483-9 gnd |
| topic_facet | Statistics Statistics, general Statistik Unvollkommenheit Datenerhebung Datenverknüpfung Matching |
| url | https://doi.org/10.1007/978-1-4612-3642-9 |
| work_keys_str_mv | AT goelpremk thematchingmethodologysomestatisticalproperties AT ramalingamthirugnanasambandam thematchingmethodologysomestatisticalproperties |