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All (5)

All (5) ((5 results))

  • 1. Issues in the Design of Canada's Adult Education and Training Survey Archived
    Surveys and statistical programs – Documentation: 81-595-M2003009
    Geography: Canada
    Description:

    This paper examines how the Canadian Adult Education and Training Survey (AETS) can be used to study participation in and impacts of education and training activities for adults.

    Release date: 2003-10-15
  • 2. Entry Exit Component for Income, May 2002: Survey of Labour and Income Dynamics Archived
    Surveys and statistical programs – Documentation: 75F0002M2003004
    Description:

    This paper presents the information for the Entry Exit portion of the Survey of Labour and Income Dynamics (SLID) Income interview.

    Release date: 2003-09-09
  • 3. Minimum risk, fixed cost sampling designs for independent Poisson processes Archived
    Articles and reports: 12-001-X20030016611
    Description:

    Optimal and approximately optimal fixed-cost Bayesian sampling designs are considered for simultaneous estimation in independent homogeneous Poisson processes. General allocation formulae are developed for a basic Poisson-Gamma model and these are compared with more traditional allocation methods. Techniques for finding representative gamma priors under more general hierarchical models are also discussed. The techniques show that, in many practical situations, these gamma priors provide reasonable approximations to the hierarchical prior and Bayes risk. The methods developed are general enough to apply to a wide variety of models and are not limited to Poisson processes.

    Release date: 2003-07-31
  • 4. A generalization of the Lavallée and Hidiroglou algorithm for stratification in business Surveys Archived
    Articles and reports: 12-001-X20020026432
    Description:

    This paper suggests stratification algorithms that account for a discrepancy between the stratification variable and the study variable when planning a stratified survey design. Two models are proposed for the change between these two variables. One is a log-linear regression model; the other postulates that the study variable and the stratification variable coincide for most units, and that large discrepancies occur for some units. Then, the Lavallée and Hidiroglou (1988) stratification algorithm is modified to incorporate these models in the determination of the optimal sample sizes and of the optimal stratum boundaries for a stratified sampling design. An example illustrates the performance of the new stratification algorithm. A discussion of the numerical implementation of this algorithm is also presented.

    Release date: 2003-01-29
  • 5. Multi-way stratification by linear programming made practical Archived
    Articles and reports: 12-001-X20020026433
    Description:

    Sitter and Skinner (1994) present a method which applies linear programming to designing surveys with multi-way stratification, primarily in situations where the desired sample size is less than or only slightly larger than the total number of stratification cells. The idea in their approach is simple, easily understood and easy to apply. However, the main practical constraint of their approach is that it rapidly becomes expensive in terms of magnitude of computation as the number of cells in the multi-way stratification increases, to the extent that it cannot be used in most realistic situations. In this article, we extend this linear programming approach and develop methods to reduce the amount of computation so that very large problems become feasible.

    Release date: 2003-01-29
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Analysis (3)

Analysis (3) ((3 results))

  • 1. Minimum risk, fixed cost sampling designs for independent Poisson processes Archived
    Articles and reports: 12-001-X20030016611
    Description:

    Optimal and approximately optimal fixed-cost Bayesian sampling designs are considered for simultaneous estimation in independent homogeneous Poisson processes. General allocation formulae are developed for a basic Poisson-Gamma model and these are compared with more traditional allocation methods. Techniques for finding representative gamma priors under more general hierarchical models are also discussed. The techniques show that, in many practical situations, these gamma priors provide reasonable approximations to the hierarchical prior and Bayes risk. The methods developed are general enough to apply to a wide variety of models and are not limited to Poisson processes.

    Release date: 2003-07-31
  • 2. A generalization of the Lavallée and Hidiroglou algorithm for stratification in business Surveys Archived
    Articles and reports: 12-001-X20020026432
    Description:

    This paper suggests stratification algorithms that account for a discrepancy between the stratification variable and the study variable when planning a stratified survey design. Two models are proposed for the change between these two variables. One is a log-linear regression model; the other postulates that the study variable and the stratification variable coincide for most units, and that large discrepancies occur for some units. Then, the Lavallée and Hidiroglou (1988) stratification algorithm is modified to incorporate these models in the determination of the optimal sample sizes and of the optimal stratum boundaries for a stratified sampling design. An example illustrates the performance of the new stratification algorithm. A discussion of the numerical implementation of this algorithm is also presented.

    Release date: 2003-01-29
  • 3. Multi-way stratification by linear programming made practical Archived
    Articles and reports: 12-001-X20020026433
    Description:

    Sitter and Skinner (1994) present a method which applies linear programming to designing surveys with multi-way stratification, primarily in situations where the desired sample size is less than or only slightly larger than the total number of stratification cells. The idea in their approach is simple, easily understood and easy to apply. However, the main practical constraint of their approach is that it rapidly becomes expensive in terms of magnitude of computation as the number of cells in the multi-way stratification increases, to the extent that it cannot be used in most realistic situations. In this article, we extend this linear programming approach and develop methods to reduce the amount of computation so that very large problems become feasible.

    Release date: 2003-01-29
Reference (2)

Reference (2) ((2 results))

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