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1. |
Record Nr. |
UNINA990002792630403321 |
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Autore |
Gellein, Oscar S. |
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Titolo |
Accounting for research and development expenditures / by Oscar S. Gellein and Maurice S. Newman |
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Pubbl/distr/stampa |
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New York : American Institute of Certified Public Accountants, 1973 |
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Descrizione fisica |
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Collana |
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Accounting research study / American Institute of Certified Public Accountants ; 14 |
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Altri autori (Persone) |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA996483153703316 |
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Autore |
Daniels Reza Che |
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Titolo |
How data quality affects our understanding of the earnings distribution / / Reza C. Daniels |
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Pubbl/distr/stampa |
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Singapore, : Springer Nature, 2022 |
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Singapore : , : Springer, , 2022 |
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©2022 |
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ISBN |
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Descrizione fisica |
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1 online resource (xx, 114 pages) : illustrations (some color) |
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Soggetti |
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Income distribution - Statistical methods |
Mathematical statistics |
Distribució de la renda |
Estadística matemàtica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys Questionnaire Design and Response Propensities for Labour Income Micro Data Univariate Multiple Imputation for Coarse Employee Income Data Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution |
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Sommario/riassunto |
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This open access book demonstrates how data quality issues affect all surveys and proposes methods that can be utilised to deal with the observable components of survey error in a statistically sound manner. This book begins by profiling the post-Apartheid period in South Africa's history when the sampling frame and survey methodology for household surveys was undergoing periodic changes due to the changing geopolitical landscape in the country. This book profiles how different components of error had disproportionate magnitudes in different survey years, including coverage error, sampling error, nonresponse error, measurement error, processing error and adjustment error. |
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