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All (10) ((10 results))

  • Articles and reports: 12-001-X199300214453
    Description:

    A generalized concept is presented for all of the commonly used methods of forest sampling. The concept views the forest as a two-dimensional picture which is cut up into pieces like a jigsaw puzzle, with the pieces defined by the individual selection probabilities of the trees in the forest. This concept results in a finite number of independently selected sample units, in contrast to every other generalized conceptualization of forest sampling presented to date.

    Release date: 1993-12-15

  • Articles and reports: 75-001-X19930043
    Geography: Canada
    Description:

    This note compares retirement patterns during the pre-recession and recession years to examine if there is a relationship between the state of the economy and early retirement.

    Release date: 1993-12-07

  • Stats in brief: 75-001-X19930032
    Geography: Canada
    Description:

    This overview highlights the results from the survey of Work Arrangements.

    Release date: 1993-09-01

  • Articles and reports: 12-001-X199300114471
    Description:

    Binomial-Poisson and Poisson-Poisson sampling are introduced for use in forest sampling. Several estimators of the population total are discussed for these designs. Simulation comparisons of the properties of the estimators were made for three small forestry populations. A modification of the standard estimator used for Poisson sampling and a new estimator, called a modified Srivastava estimator, appear to be most efficient. The latter is unfortunately badly biased for all 3 populations.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114473
    Description:

    Double sampling is a common alternative to simple random sampling when there are expected to be gains from using stratified sampling, but the units cannot be assigned to strata prior to sampling. It is assumed throughout that the survey objective is estimation of the finite population mean. We compare simple random sampling and three allocation methods for double sampling: (a) proportional, (b) Rao’s (Rao 1973a, b) and (c) optimal. There is also an investigation of the effect on sample size selection of misspecification of an important design parameter.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114475
    Description:

    In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could lead to serious bias in the resulting joint relationships among variables. Appropriate auxiliary information could be used to avoid the CIA. In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without auxiliary information are considered. The log linear methods consist of adding categorical constraints to either the regression or hot deck methods. Based on an extensive simulation study with synthetic data, sensitivity analyses for departures from the CIA are performed and gains from using auxiliary information are discussed. Different scenarios for the underlying distribution and relationships, such as symmetric versus skewed data and proxy versus nonproxy auxiliary data, are created using synthetic data. Some recommendations on the use of statistical matching methods are also made. Specifically, it was confirmed that the CIA could be a serious limitation which could be overcome by the use of appropriate auxiliary information. Hot deck methods were found to be generally preferable to regression methods. Also, when auxiliary information is available, log linear categorical constraints can improve performance of hot deck methods. This study was motivated by concerns about the use of the CIA in the construction of the Social Policy Simulation Database at Statistics Canada.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114476
    Description:

    This paper focuses on how to deal with record linkage errors when engaged in regression analysis. Recent work by Rubin and Belin (1991) and by Winkler and Thibaudeau (1991) provides the theory, computational algorithms, and software necessary for estimating matching probabilities. These advances allow us to update the work of Neter, Maynes, and Ramanathan (1965). Adjustment procedures are outlined and some successful simulations are described. Our results are preliminary and intended largely to stimulate further work.

    Release date: 1993-06-15

  • Articles and reports: 75-001-X19930021
    Geography: Canada
    Description:

    A demographic profile of tax filers reporting interest and dividend income.

    Release date: 1993-06-08

  • Articles and reports: 75-001-X19930029
    Geography: Canada
    Description:

    Educators are concerned that student employment may be associated with an increased likelihood of dropping out of high school before a certificate or diploma is earned. This article analyses the effects of work during the school year on the risk of dropping out.

    Release date: 1993-06-08

  • 10. Working shift Archived
    Articles and reports: 75-001-X19930018
    Geography: Canada
    Description:

    This article assesses the occurrence of non-standard work schedules by selected characteristics of shift work schedules by selected characteristics of shift workers and their main reasons for working shift.

    Release date: 1993-03-04
Stats in brief (1)

Stats in brief (1) ((1 result))

Articles and reports (9)

Articles and reports (9) ((9 results))

  • Articles and reports: 12-001-X199300214453
    Description:

    A generalized concept is presented for all of the commonly used methods of forest sampling. The concept views the forest as a two-dimensional picture which is cut up into pieces like a jigsaw puzzle, with the pieces defined by the individual selection probabilities of the trees in the forest. This concept results in a finite number of independently selected sample units, in contrast to every other generalized conceptualization of forest sampling presented to date.

    Release date: 1993-12-15

  • Articles and reports: 75-001-X19930043
    Geography: Canada
    Description:

    This note compares retirement patterns during the pre-recession and recession years to examine if there is a relationship between the state of the economy and early retirement.

    Release date: 1993-12-07

  • Articles and reports: 12-001-X199300114471
    Description:

    Binomial-Poisson and Poisson-Poisson sampling are introduced for use in forest sampling. Several estimators of the population total are discussed for these designs. Simulation comparisons of the properties of the estimators were made for three small forestry populations. A modification of the standard estimator used for Poisson sampling and a new estimator, called a modified Srivastava estimator, appear to be most efficient. The latter is unfortunately badly biased for all 3 populations.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114473
    Description:

    Double sampling is a common alternative to simple random sampling when there are expected to be gains from using stratified sampling, but the units cannot be assigned to strata prior to sampling. It is assumed throughout that the survey objective is estimation of the finite population mean. We compare simple random sampling and three allocation methods for double sampling: (a) proportional, (b) Rao’s (Rao 1973a, b) and (c) optimal. There is also an investigation of the effect on sample size selection of misspecification of an important design parameter.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114475
    Description:

    In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could lead to serious bias in the resulting joint relationships among variables. Appropriate auxiliary information could be used to avoid the CIA. In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without auxiliary information are considered. The log linear methods consist of adding categorical constraints to either the regression or hot deck methods. Based on an extensive simulation study with synthetic data, sensitivity analyses for departures from the CIA are performed and gains from using auxiliary information are discussed. Different scenarios for the underlying distribution and relationships, such as symmetric versus skewed data and proxy versus nonproxy auxiliary data, are created using synthetic data. Some recommendations on the use of statistical matching methods are also made. Specifically, it was confirmed that the CIA could be a serious limitation which could be overcome by the use of appropriate auxiliary information. Hot deck methods were found to be generally preferable to regression methods. Also, when auxiliary information is available, log linear categorical constraints can improve performance of hot deck methods. This study was motivated by concerns about the use of the CIA in the construction of the Social Policy Simulation Database at Statistics Canada.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114476
    Description:

    This paper focuses on how to deal with record linkage errors when engaged in regression analysis. Recent work by Rubin and Belin (1991) and by Winkler and Thibaudeau (1991) provides the theory, computational algorithms, and software necessary for estimating matching probabilities. These advances allow us to update the work of Neter, Maynes, and Ramanathan (1965). Adjustment procedures are outlined and some successful simulations are described. Our results are preliminary and intended largely to stimulate further work.

    Release date: 1993-06-15

  • Articles and reports: 75-001-X19930021
    Geography: Canada
    Description:

    A demographic profile of tax filers reporting interest and dividend income.

    Release date: 1993-06-08

  • Articles and reports: 75-001-X19930029
    Geography: Canada
    Description:

    Educators are concerned that student employment may be associated with an increased likelihood of dropping out of high school before a certificate or diploma is earned. This article analyses the effects of work during the school year on the risk of dropping out.

    Release date: 1993-06-08

  • 9. Working shift Archived
    Articles and reports: 75-001-X19930018
    Geography: Canada
    Description:

    This article assesses the occurrence of non-standard work schedules by selected characteristics of shift work schedules by selected characteristics of shift workers and their main reasons for working shift.

    Release date: 1993-03-04
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

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