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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 7 of 7 (0.069 seconds)Spelling suggestions: "subject:"official statistics"" "subject:"afficial statistics""
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Data Integration: Techniques and EvaluationHackl, Peter, Denk, Michaela January 2004 (has links) (PDF)
Within the DIECOFIS framework, ec3, the Division of Business
Statistics from the Vienna University of Economics and Business
Administration and ISTAT worked together to find methods to create a
comprehensive database of enterprise data required for taxation microsimulations
via integration of existing disparate enterprise data sources. This
paper provides an overview of the broad spectrum of investigated
methodology (including exact and statistical matching as well as
imputation) and related statistical quality indicators, and emphasises the
relevance of data integration, especially for official statistics, as a means of
using available information more efficiently and improving the quality of a
statistical agency's products. Finally, an outlook on an empirical study
comparing different exact matching procedures in the maintenance of
Statistics Austria's Business Register is presented.
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Covid-19 and the digital revolutionHantrais, L., Allin, P., Kritikos, M., Sogomonjan, M., Anand, Prathivadi B., Livingstone, S., Williams, M., Innes, M. 03 November 2020 (has links)
Yes / Since the 1980s, the digital revolution has been both a negative and positive force. Within a few weeks of the Covid-19 outbreak, lockdown accelerated the adoption of digital solutions at an unprecedented pace, creating unforeseen opportunities for scaling up alternative approaches to social and economic life. But it also brought digital risks and threats that placed new demands on policymakers. This article assembles evidence from different areas of social science expertise about the impacts of Covid-19 in digitised societies and policy responses. The authors show how the pandemic supported changes in data collection techniques and dissemination practices for official statistics, and how seemingly insuperable obstacles to the implementation of e-health treatments were largely overcome. They demonstrate how the ethics of artificial intelligence became a primary concern for government legislation at national and international levels, and how the features enabling smart cities to act as drivers of productivity did not necessarily give them an advantage during the pandemic. At the micro-level, families are shown to have become ‘digital by default’, as children were exposed to online risks and opportunities. Globally, the spread of the pandemic provided a fertile ground for cybercrime, while digital disinformation and influencing risked becoming normalised and domesticated.
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Data Integration and Record Matching: An Austrian Contribution to Research in Official StatisticsDenk, Michaela, Hackl, Peter January 2003 (has links) (PDF)
Data integration techniques are one of the core elements of
DIECOFIS, an EU-funded international research project that aims at
developing a methodology for the construction of a system of indicators on
competitiveness and fiscal impact on enterprise performance. Data
integration is also of major interest for official statistics agencies as a means
of using available information more efficiently and improving the quality of
the agency's products. The Austrian member of the project consortium
comprises university departments, representatives from the Bundesanstalt
Statistik Austria, from the Statistical Department of the Austrian Economic
Chamber, and from ec3, a non-profit research corporation. This paper gives
a short report on DIECOFIS in general and on the Austrian contribution to
the project, mainly dealing with data integration methodology. Various
papers that have been read at the DIECOFIS workshop last November in
Vienna, will be published as a Special Issue of the Austrian Journal of
Statistics.
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Eismo įvykių Lietuvos automobilių keliuose apskaitos sistemos analizė ir vertinimas / Analysis and Evaluation of Road Accident Data Management System in LithuaniaMorkūnas, Evaldas 11 June 2014 (has links)
Šiame magistro darbe išanalizuota Lietuvos eismo įvykių apskaitos sistema, sudaryta iš duomenų rinkimo, įvedimo ir teikimo proceso, kurį atlieka policijos įstaigų darbuotojai. Darbe išsamiai išnagrinėti Lietuvos norminiai dokumentai, reglamentuojantys eismo įvykių apskaitos procesą. Analizės rezultatams apibendrinti yra skurti pirminių veiksmų, duomenų pasiskirstymo ir teikimo bei ikiteisminio tyrimo medžiagos panaudojimo grafiniai modeliai. Taip pat išsamiai išnagrinėtas Europos Sąjungoje atliekamas eismo įvykių apskaitos procesas. Darbe pateiktas eismo įvykių duomenų apskaitos programinės sistemos detalus vertinimas su rekomendacijomis, kaip patobulinti sistemą siekiant užtikrinti išsamesnius, tikslesnius oficialios statistikos eismo įvykių duomenis. Baigiamojo darbo apimtis – 81 psl. teksto be priedų, 19 lentelių ir 13 paveikslų. / In this Master Thesis analysis of Lithuanian road accident management system, which consists data collecting, adding and provision process have been done. Lithuanian normative documents which governs road accident management process are purely explored in this Master Thesis. To generalize analysis results have been created primary respond, data distribution and provision, data usage of pre-trial process graphical models. Also a part of the work reveals detailed analysis of accident data management of European Union countries. In this paper is provided detailed evaluation of road accident data management software system and recommendations to ensure more detailed road accidents data of official statistics by improving system. Master Thesis consists of 81 pages pure text without appendixes, 19 tables and 13 pictures.
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Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics SwedenUnnebäck, Tea January 2023 (has links)
The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. Therefore, prior to sampling a frame is manually constructed each year, starting with a register of all Swedish companies and agencies and in a rule- based manner narrowing it down to contain only what is classified as units likely to trade in services during the year to come. An automatic procedure that would enable reliable predictions is requested. To this end, three different machine learning methods have been analyzed, two rule- based methods (random forest and extreme gradient boosting) and one distance- based method (k nearest neighbors). The models arising from these methods are trained and tested on historically sampled units, for which it is known whether they did trade or not. The results indicate that the two rule-based methods perform well in classifying likely traders. The random forest model is better at finding traders, while the extreme gradient boosting model is better at finding non-traders. The results also indicate interesting patterns when studying different metrics for the models. The results also indicate that when training the rule-based models, the year in which the training data was sampled needs to be taken into account. This entails that cross-validation with random folds should not be used, but rather grouped cross-validation based on year. By including a feature that mirror the state of the economy, the model can adapt its rules to this, meaning that the rules learned on training data can be extended to years beyond training data. Based on the observed results, the final recommendation is to further develop and investigate the performance of the random forest model.
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La migration de retour de la population italienne immigrée au Canada et en BelgiqueGhio, Daniela January 2009 (has links)
Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal.
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La migration de retour de la population italienne immigrée au Canada et en BelgiqueGhio, Daniela January 2009 (has links)
Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal
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