Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2002
|
| Schriftenreihe: | Lecture Notes in Statistics
168 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Data fusion or statistical file matching techniques merge data sets from different survey samples to solve the problem that exists when no single file contains all the variables of interest. Media agencies are merging television and purchasing data, statistical offices match tax information with income surveys. Many traditional applications are known but information about these procedures is often difficult to achieve. The author proposes the use of multiple imputation (MI) techniques using informative prior distributions to overcome the conditional independence assumption. By means of MI sensitivity of the unconditional association of the variables not jointy observed can be displayed. An application of the alternative approaches with real world data concludes the book |
| Beschreibung: | 1 Online-Ressource (XVIII, 264p) |
| ISBN: | 9781461300533 9780387955162 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4613-0053-3 |
Internformat
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| 500 | |a Data fusion or statistical file matching techniques merge data sets from different survey samples to solve the problem that exists when no single file contains all the variables of interest. Media agencies are merging television and purchasing data, statistical offices match tax information with income surveys. Many traditional applications are known but information about these procedures is often difficult to achieve. The author proposes the use of multiple imputation (MI) techniques using informative prior distributions to overcome the conditional independence assumption. By means of MI sensitivity of the unconditional association of the variables not jointy observed can be displayed. An application of the alternative approaches with real world data concludes the book | ||
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Datensatz im Suchindex
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| author | Rässler, Susanne 1962-2018 |
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| building | Verbundindex |
| bvnumber | BV042420530 |
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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 | 10.1007/978-1-4613-0053-3 |
| format | Electronic eBook |
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| isbn | 9781461300533 9780387955162 |
| issn | 0930-0325 |
| language | English |
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| spelling | Rässler, Susanne 1962-2018 Verfasser (DE-588)171420314 aut Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches by Susanne Rässler New York, NY Springer New York 2002 1 Online-Ressource (XVIII, 264p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 168 0930-0325 Data fusion or statistical file matching techniques merge data sets from different survey samples to solve the problem that exists when no single file contains all the variables of interest. Media agencies are merging television and purchasing data, statistical offices match tax information with income surveys. Many traditional applications are known but information about these procedures is often difficult to achieve. The author proposes the use of multiple imputation (MI) techniques using informative prior distributions to overcome the conditional independence assumption. By means of MI sensitivity of the unconditional association of the variables not jointy observed can be displayed. An application of the alternative approaches with real world data concludes the book Statistics Mathematical statistics Statistical Theory and Methods Statistik Matching (DE-588)4212483-9 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Matching (DE-588)4212483-9 s Statistik (DE-588)4056995-0 s 1\p DE-604 https://doi.org/10.1007/978-1-4613-0053-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Rässler, Susanne 1962-2018 Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches Statistics Mathematical statistics Statistical Theory and Methods Statistik Matching (DE-588)4212483-9 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4212483-9 (DE-588)4056995-0 |
| title | Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches |
| title_auth | Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches |
| title_exact_search | Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches |
| title_full | Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches by Susanne Rässler |
| title_fullStr | Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches by Susanne Rässler |
| title_full_unstemmed | Statistical Matching A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches by Susanne Rässler |
| title_short | Statistical Matching |
| title_sort | statistical matching a frequentist theory practical applications and alternative bayesian approaches |
| title_sub | A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Matching (DE-588)4212483-9 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Matching |
| url | https://doi.org/10.1007/978-1-4613-0053-3 |
| work_keys_str_mv | AT rasslersusanne statisticalmatchingafrequentisttheorypracticalapplicationsandalternativebayesianapproaches |