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Analysis (10,756)

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  • 10,691. A personal view of hot deck imputation procedures - Open in new window/tab Archived
    Articles and reports: 12-001-X197900254832
    Description:

    A Hot Deck imputation procedure is defined to be one where an incomplete response is completed by using values from one or more other records on the same file and the choice of these records varies with the record requiring imputation.

    General approaches to Hot Deck imputation are outlined, with emphasis on the interaction between the edit constraints and the imputation procedures. Distance functions can be constructed on a mixture of categorical and numeric fields, can be modified to take account of the relative importance of fields and can discriminate against less desirable donors. Matching fields may be correlated with missing fields, may be linked with missing fields by edits or may be natural stratification variables; but increasing the number of matching fields does not necessarily result in a better match. It is important to audit the imputation process and to summarize its performance.

    Hot Deck procedures should be evaluated to study the bias and reliability of the estimates, donor usage and frequency of imputation failure in terms of a variety of conditions of the data and variations of the imputation procedure. It appears that the only generally available approach to evaluation is by simulation.

    Release date: 1979-12-14
  • 10,692. Data, statistics, information - Some issues of the Canadian Social Statistics Scene - Open in new window/tab Archived
    Articles and reports: 12-001-X197900254833
    Description:

    This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.

    Release date: 1979-12-14
  • 10,693. Management of information: Future trends - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100001
    Description: This paper discusses the management of information within the context of the information industry and indicates some likely future trends related thereto. The information industry itself is first briefly described. Then the process used in producing information, the organizational structure required for such production, and the legislation relating to the information industry are discussed in turn. Finally, some approaches to solving the problems of the future are suggested.
    Release date: 1979-06-15
  • 10,694. Non-response in the Canadian Labour Force Survey - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100002
    Description: This paper includes a description of interviewer techniques and procedures used to minimize non-response, an outline of methods used to monitor and control non-response, and a discussion of how non-respondents are treated in the data processing and estimation stages of the Canadian Labour Force Survey. Recent non-response rates as well as data on the characteristics of non-respondents are also given. It is concluded that a yearly non-response rate of approximately 5 percent is probably the best that can be achieved in the Labour Force Survey.
    Release date: 1979-06-15
  • 10,695. An empirical investigation of an improved method of measuring correlated response variance - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100003
    Description: Two methods for estimating the correlated response variance of a survey estimator are studied by way of both theoretical comparison and empirical investigation. The variance of these estimators is discussed and the effects of outliers examined. Finally, an improved estimator is developed and evaluated.
    Release date: 1979-06-15
  • 10,696. Selecting a sample of size n with PPSWOR from a finite population - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100004
    Description: Let U = {1, 2, …, i, …, N} be a finite population of N identifiable units. A known “size measure” x_i is associated with unit i; i = 1, 2, ..., N. A sampling procedure for selecting a sample of size n (2 < n < N) with probability proportional to size (PPS) and without replacement (WOR) from the population is proposed. With this method, the inclusion probability is proportional to size (IPPS) for each unit in the population.
    Release date: 1979-06-15
  • 10,697. On the inclusion of large units in simple random sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100005
    Description: Approximate cutoff rules for stratifying a population into a take-all and take-some universe have been given by Dalenius (1950) and Glasser (1962). They expressed the cutoff value (that value which delineates the boundary of the take-all and take-some) as a function of the mean, the sampling weight and the population variance. Their cutoff values were derived on the assumption that a single random sample of size n was to be drawn without replacement from the population of size N.

    In the present context, exact and approximate cutoff rules have been worked out for a similar situation. Rather than providing the sample size of the sample, the precision (coefficient of variation) is given. Note that in many sampling situations, the sampler is given a set of objectives in terms of reliability and not sample size. The result is particularly useful for determining the take-all - take-some boundary for samples drawn from a known population. The procedure is also extended to ratio estimation.
    Release date: 1979-06-15
  • 10,698. Unbiased estimation of proportions under sequential sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100006
    Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.
    Release date: 1979-06-15
  • 10,699. The application of a systematic method of automatic edit and imputation to the 1976 Canadian Census of Population and Housing - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254832
    Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.
    Release date: 1978-12-15
  • 10,700. Large scale imputation of survey data - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254833
    Description: Owners of small businesses complain about the quantity of forms they are required to collectors of statistics. Administrative data are an alternative source but do not usually include all the information required by the survey takers.

    The “Tax Data Imputation System” makes use of tax data collected from a large number of businesses by Revenue Canada and data obtained by sample survey for a small subset of these businesses. Survey data is imputed (estimated) for all the businesses not actually surveyed using a “hot-deck” technique, with adjustments made to ensure certain edit rules are satisfied. The results of a simulation study suggest that this procedure has reasonable statistical properties. Estimators (of means or totals) are unbiased with variances of comparable size to the corresponding ratio estimators.
    Release date: 1978-12-15
Reference (2,027)

Reference (2,027) (30 to 40 of 2,027 results)

  • 31. Technical Guide for the Accounting Services Price Index, 2025 - Open in new window/tab
    Surveys and statistical programs – Documentation: 62F0014M2025007
    Description: This technical guide describes the methodological details for the Accounting Services Price Index (ASPI) from 2024 onward. The document includes information about the purpose of the index, data sources, and index estimation and aggregation.
    Release date: 2025-10-24
  • 32. Reference Guide to Canadian International Merchandise Trade Statistics - Open in new window/tab
    Surveys and statistical programs – Documentation: 13-605-X202500100003
    Description: This reference guide presents information to enhance an understanding of Canadian International Merchandise Trade statistics. It provides essential definitions, describes key concepts and methodology, and outlines data processes. An overview of the published data, including descriptions of product, industry, and geographical classifications, is provided along with links to the products where these data are available.
    Release date: 2025-08-29
  • 33. Table builder: Part 6, Summary of data table components, table display and metadata - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021041
    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 analyzing data. This video will explore data table components, table displays, and metadata.
    Release date: 2025-07-30
  • 34. Census of Population web pages: Data tables, part 2 - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021043
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to show you how to customize a census table to meet your data needs.
    Release date: 2025-07-30
  • 35. Census of Population concept videos - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-0003
    Description: Once every five years, the Census of Population provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. It is the primary source of sociodemographic data for specific population groups such as lone-parent families, Indigenous peoples, immigrants, seniors and language groups.

    In order to help users of census products to better understand the various Census of Population concepts, Statistics Canada has developed, in the context of the activities of the 2021 Census and previous censuses, a collection of short videos. These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge.

    Release date: 2025-07-30
  • 36. Technical Reference Guide for the Annual Income Estimates for Census Families, Individuals and Seniors, T1 Family File - Open in new window/tab
    Surveys and statistical programs – Documentation: 72-212-X
    Description: Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2025-07-18
  • 37. T1 Family File, Final Estimates, 2023 - Open in new window/tab
    Surveys and statistical programs – Documentation: 72-212-X2025001
    Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2025-07-18
  • 38. Content changes for the 2026 Census of Population: Date of birth (age), sex at birth and gender, relationship to Person 1, and marital status - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00042026001
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: date of birth (age), sex at birth and gender, relationship to Person 1, and marital status. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04
  • 39. Content changes for the 2026 Census of Population: Languages and language of instruction - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00042026002
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: languages and language of instruction. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04
  • 40. Content changes for the 2026 Census of Population: Ethnic or cultural origins, religion, immigration, citizenship and place of birth - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00042026003
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: ethnic or cultural origins, religion, immigration, citizenship and place of birth. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04
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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