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All (26,565)

All (26,565) (0 to 10 of 26,565 results)

Data (13,287)

Data (13,287) (0 to 10 of 13,287 results)

Analysis (10,777)

Analysis (10,777) (10,620 to 10,630 of 10,777 results)

  • 10,621. On the definitions of response rates - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114437
    Description: In this paper, different types of response/nonresponse and associated measures such as rates are provided and discussed together with their implications on both estimation and administrative procedures. The missing data problems lead to inconsistent terminology related to nonresponse such as completion rates, eligibility rates, contact rates, and refusal rates, many of which can be defined in different ways. In addition, there are item nonresponse rates as well as characteristic response rates. Depending on the uses, the rates may be weighted or unweighted.
    Release date: 1986-06-16
  • 10,622. Some optimality results in the presence of nonresponse - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114438
    Description:

    Using the optimal estimating functions for survey sampling estimation (Godambe and Thompson 1986), we obtain some optimality results for nonresponse situations in survey sampling.

    Release date: 1986-06-16
  • 10,623. Basic ideas of multiple imputation for nonresponse - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114439
    Description:

    Multiple imputation is a technique for handling survey nonresponse that replaces each missing value created by nonresponse by a vector of possible values that reflect uncertainty about which values to impute. A simple example and brief overview of the underlying theory are used to introduce the general procedure.

    Release date: 1986-06-16
  • 10,624. Imputation options in a generalized edit and imputation system - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114440
    Description:

    Statistics Canada has undertaken a project to develop a generalized edit and imputation system, the intent of which is to meet the processing requirements of most of its surveys. The various approaches to imputation for item non-response, which have been proposed, will be discussed. Important issues related to the implementation of these proposals into a generalized setting will also be addressed.

    Release date: 1986-06-16
  • 10,625. The maximum likelihood method for non-response in sample surveys - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114441
    Description:

    The analysis of survey data becomes difficult in the presence of incomplete responses. By the use of the maximum likelihood method, estimators for the parameters of interest and test statistics can be generated. In this paper the maximum likelihood estimators are given for the case where the data is considered missing at random. A method for imputing the missing values is considered along with the problem of estimating the change points in the mean. Possible extensions of the results to structured covariances and to non-randomly incomplete data are also proposed.

    Release date: 1986-06-16
  • 10,626. Statistical editing and imputation for periodic business surveys - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114442
    Description:

    For periodic business surveys which are conducted on a monthly, quarterly or annual basis, the data for responding units must be edited and the data for non-responding units must be imputed. This paper reports on methods which can be used for editing and imputing data. The editing is comprised of consistency and statistical edits. The imputation is done for both total non-response and partial non-response.

    Release date: 1986-06-16
  • 10,627. Practical criteria for definition of weighting classes - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114443
    Description:

    When the technique of adjustment using weighting classes is applied to compensate for the effect of non-response, several questions arise that call for precise and quantified answers: How does the choice of the variables used for definition of the classes affect total root-mean-square error, in particular non-response bias and sampling variance? What rule and what procedure should be followed in choosing the adjustment variables? On the basis of what criterion can the optimal sizes for the weighting classes be established? Finally, when this procedure is applied to compensate for non-response with respect to specific elements of a questionnaire, how can strongly correlated ancillary variables be used effectively when they themselves are affected by non-response? This article is addressed to those professionals working at a practical level who are seeking guidelines.

    Release date: 1986-06-16
  • 10,628. A study of the effects of imputation groups in the nearest neighbour imputation method for the National Farm Survey - Open in new window/tab Archived
    Articles and reports: 12-001-X198600114444
    Description:

    A new processing system using the nearest neighbour (N-N) imputation method is being implemented for the National Farm Survey (NFS). An empirical study was conducted to determine if the NFS estimates would be affected by using imputation groups based on type of farm. For the specific imputation rule examined, the study showed evidence that the effect might be small.

    Release date: 1986-06-16
  • 10,629. Stratification in the Canadian Labour Force Survey - Open in new window/tab Archived
    Articles and reports: 12-001-X198500214372
    Description:

    The use of a multivariate clustering algorithm to perform stratification for the Labour Force Survey is described. The algorithm developed by Friedman and Rubin (1967) is modified to allow the formation of geographically contiguous strata and to delineate heterogeneous but compact primary sampling units (PSUs) within these strata. Studies dealing with stratification variables, stratification robustness over time, and type of stratification are described.

    Release date: 1985-12-16
  • 10,630. Sampling microfilmed manuscript census returns - Open in new window/tab Archived
    Articles and reports: 12-001-X198500214373
    Description:

    In the first part of the paper a review of the historical literature concerning microfilmed manuscript census records is given. Several types of sampling designs have been used ranging in complexity from cluster and stratified random sampling to stratified two-stage cluster sampling. In the second part, a method is given to create a public use sample tape of the 1881 Census of Canada. This work was part of a pilot project for Public Archives of Canada and was carried out by the Social Science Computing Laboratory of the University of Western Ontario. The pilot project was designed to determine the merit and technical and economic feasibility of developing machine readable products from microfilm copies of the 1881 Census of Canada.

    Release date: 1985-12-16
Reference (2,029)

Reference (2,029) (60 to 70 of 2,029 results)

  • 61. Road Network File - Open in new window/tab
    Geographic files and documentation: 92-500-X
    Geography: Canada
    Description:

    This geographical file represents Canada's national road network, containing information such as street names, types, directions and address ranges.

    A reference guide is available (Road Network File, Reference Guide, 92-500-G).
    Release date: 2025-06-18
  • 62. Interim List of Changes to Municipal Boundaries, Status, and Names - Open in new window/tab
    Notices and consultations: 92F0009X
    Description: This report provides a summary of changes to municipal boundaries, status and names. The list is usually produced on an annual basis for changes that occurred during the previous year. A five year list is produced on Census of population years.
    Release date: 2025-06-18
  • 63. Canadian Census Health and Environment Cohort: User Guide - Open in new window/tab
    Surveys and statistical programs – Documentation: 13-26-0005
    Description: The Canadian Census Health and Environment Cohorts (CanCHECs) are a series of population-based microdata linkages. The CanCHECs combine census respondents to the long-form questionnaire with administrative health data and annual postal codes for mailing addresses. These data can be used to examine health outcomes by population characteristics measured by the census long-form sample data. This user guide has been created to help potential data users, including researchers and academics, public health officials, government agencies, the private sector, and non-governmental organizations.
    Release date: 2025-06-18
  • 64. Clean technologies and the Survey of Environmental Goods and Services: A technical reference guide - Open in new window/tab
    Surveys and statistical programs – Documentation: 16-511-X
    Description: This reference guide is intended for users of the Survey of Environmental Goods and Services (SEGS). The tables indicate which technologies and services were included in SEGS.
    Release date: 2025-06-03
  • 65. Crime, Justice and Community Safety Datasets and User Guides - Open in new window/tab
    Surveys and statistical programs – Documentation: 45-20-0001
    Description: This publication provides user guides and datasets containing statistics on a variety of topics and issues related to justice and community safety.
    Release date: 2025-05-27
  • 66. The Canadian Index of Social Resilience and the Canadian Index of Social Vulnerability: User Guide - Open in new window/tab
    Surveys and statistical programs – Documentation: 45-20-00012025002
    Description: The Canadian Index of Social Resilience (CISR) and the Canadian Index of Social Vulnerability (CISV) were created to provide area-based information on resilience and vulnerability to natural hazards and disasters across Canada. The user guide explains how the CISR and CISV were developed and how to use them. The indexes can be used to better understand areas which may experience the largest disproportional social impacts from natural hazards.
    Release date: 2025-05-27
  • 67. User Guide for the Survey of Household Spending, 2023 - Open in new window/tab
    Surveys and statistical programs – Documentation: 62F0026M2025001
    Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
    Release date: 2025-05-21
  • 68. Land Cover Register: Data product specifications - Open in new window/tab
    Geographic files and documentation: 16-510-X2025003
    Description: This product contains specifications intended for users of the land cover register geospatial files. This document provides important technical information for users and links to methodology.
    Release date: 2025-05-13
  • 69. Statistical Ecosystem Register grid system reference files: Data product specifications - Open in new window/tab
    Geographic files and documentation: 16-510-X2025004
    Description: This product contains specifications intended for users of the Statistical Ecosystem Register grid system reference files. This document provides important technical information for users, including the coordinate reference system, resolution, and file contents and structure. This document also provides additional information about the grid system, reasons for some of the chosen parameters, and intended uses.
    Release date: 2025-05-13
  • 70. Table builder: Part 1, Introduction to census data and tables - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021034
    Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analysing data. This video will introduce you to census data and census data tables.
    Release date: 2025-05-07
Other (1)

Other (1) ((1 result))

  • 1. Data Visualization: Best Practices - Open in new window/tab
    89-26-0005
    Description: This document provides best practices in data visualization for basic charts. A data visualization product can be created with very different goals and for different audiences with a wide range of expertise. General information applicable to any data visualization product is provided, as well as detailed information for data visualization by chart. This report covers 5 different categories of charts, and presents graphs from the following 5 general categories: pie charts, bar charts, point charts, line charts and maps.
    Release date: 2023-02-24

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