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  • Articles and reports: 12-001-X20030016609
    Description:

    To automate the data editing process the so-called error localization problem, i.e., the problem of identifying the erroneous fields in an erroneous record, has to be solved. A paradigm for identifying errors automatically has been proposed by Fellegi and Holt in 1976. Over the years their paradigm has been generalized to: the data of a record should be made to satisfy all edits by changing the values of the variables with the smallest possible sum of reliability weights. A reliability weight of a variable is a non-negative number that expresses how reliable one considers the value of this variable to be. Given this paradigm the resulting mathematical problem has to be solved. In the present paper we examine how vertex generation methods can be used to solve this mathematical problem in mixed data, i.e., a combination of categorical (discrete) and numerical (continuous) data. The main aim of this paper is not to present new results, but rather to combine the ideas of several other papers in order to give a "complete", self-contained description of the use of vertex generation methods to solve the error localization problem in mixed data. In our exposition we will focus on describing how methods for numerical data can be adapted to mixed data.

    Release date: 2003-07-31

  • Surveys and statistical programs – Documentation: 81-595-M2003005
    Geography: Canada
    Description:

    This paper develops technical procedures that may enable ministries of education to link provincial tests with national and international tests in order to compare standards and report results on a common scale.

    Release date: 2003-05-29

  • Articles and reports: 62F0014M2003016
    Geography: Canada
    Description:

    For a long time, the Consumer Price Index (CPI) has been the most commonly referenced measure of inflation. However, it is not generally perceived how sensitive the CPI is to the measurement of price change for owned accommodation. The relative importance of the homeownership component in the CPI and the movement of that component are critically dependent on the choice of concept for estimating homeownership costs. However, there is no one concept that is generally agreed upon by official statistical agencies. As part of an ongoing research program into major issues involved in the construction of consumer price indexes, analytical indexes of consumer prices based on different treatments of owned accommodation are updated in this publication for the period 1995 to 2000.

    This paper presents seven alternative homeownership series based on four different concepts, including one based on the current concept used in the official CPI. Series are also shown for higher-level aggregates, including indexes at the All-items level. All of these higher-level aggregates differ only in their owned accommodation components, for all aggregates and all other components are based on the official concept.

    Release date: 2003-04-10
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  • Articles and reports: 12-001-X20030016609
    Description:

    To automate the data editing process the so-called error localization problem, i.e., the problem of identifying the erroneous fields in an erroneous record, has to be solved. A paradigm for identifying errors automatically has been proposed by Fellegi and Holt in 1976. Over the years their paradigm has been generalized to: the data of a record should be made to satisfy all edits by changing the values of the variables with the smallest possible sum of reliability weights. A reliability weight of a variable is a non-negative number that expresses how reliable one considers the value of this variable to be. Given this paradigm the resulting mathematical problem has to be solved. In the present paper we examine how vertex generation methods can be used to solve this mathematical problem in mixed data, i.e., a combination of categorical (discrete) and numerical (continuous) data. The main aim of this paper is not to present new results, but rather to combine the ideas of several other papers in order to give a "complete", self-contained description of the use of vertex generation methods to solve the error localization problem in mixed data. In our exposition we will focus on describing how methods for numerical data can be adapted to mixed data.

    Release date: 2003-07-31

  • Articles and reports: 62F0014M2003016
    Geography: Canada
    Description:

    For a long time, the Consumer Price Index (CPI) has been the most commonly referenced measure of inflation. However, it is not generally perceived how sensitive the CPI is to the measurement of price change for owned accommodation. The relative importance of the homeownership component in the CPI and the movement of that component are critically dependent on the choice of concept for estimating homeownership costs. However, there is no one concept that is generally agreed upon by official statistical agencies. As part of an ongoing research program into major issues involved in the construction of consumer price indexes, analytical indexes of consumer prices based on different treatments of owned accommodation are updated in this publication for the period 1995 to 2000.

    This paper presents seven alternative homeownership series based on four different concepts, including one based on the current concept used in the official CPI. Series are also shown for higher-level aggregates, including indexes at the All-items level. All of these higher-level aggregates differ only in their owned accommodation components, for all aggregates and all other components are based on the official concept.

    Release date: 2003-04-10
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  • Surveys and statistical programs – Documentation: 81-595-M2003005
    Geography: Canada
    Description:

    This paper develops technical procedures that may enable ministries of education to link provincial tests with national and international tests in order to compare standards and report results on a common scale.

    Release date: 2003-05-29
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