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dc.contributor.authorVarriale, Roberta
dc.contributor.authorRocci, Fabiana
dc.contributor.authorLuzi, Orietta
dc.date.accessioned2022-06-02T04:38:10Z
dc.date.available2022-06-02T04:38:10Z
dc.date.issued2021
dc.date.submitted2022-06-01T12:21:13Z
dc.identifierONIX_20220601_9788855184618_566
dc.identifier2704-5846
dc.identifierhttps://library.oapen.org/handle/20.500.12657/56381
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/83795
dc.description.abstractIn recent years, the Italian national institute of statistics (Istat), together with most National Statistical Institutes, is progressively moving from traditional production models based on the use of primary source of information - represented by direct surveys - to new production strategies based on the combined use of different primary and secondary sources of information. As result, new multisource statistical processes have been built, that guarantee a major improvement of both amount and quality of information about several phenomena of public interest. In this context, the Total Process Error (TPE) framework has been recently proposed in literature for assessing the quality of multisource processes. The TPE framework represents an evolution of the Zhang’s two-phase life-cycle approach and it additionally includes an operational tool to connect the steps of the multisource production process to the phases of the quality evaluation framework. TPE framework can be used both to support a multisource process design and to monitor an entire production process, in order to provide key elements to assess the quality of both the processes and their statistical outputs. In the present work, we describe as a case study in the new context of Istat production of official statistics the use of the TPE framework to support the process design of the Register for Public Administrations.
dc.languageEnglish
dc.relation.ispartofseriesProceedings e report
dc.rightsopen access
dc.subject.otherquality assessment
dc.subject.othertotal error
dc.subject.othermultisource processes
dc.subject.otherstatistical registers
dc.titleChapter Total Process Error framework: an application to economic statistical registers
dc.typechapter
oapen.identifier.doi10.36253/978-88-5518-461-8.28
oapen.relation.isPublishedBy2ec4474d-93b1-4cfa-b313-9c6019b51b1a
oapen.relation.isbn9788855184618
oapen.pages5
oapen.place.publicationFlorence
dc.seriesnumber132


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