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All (26,491)

All (26,491) (20 to 30 of 26,491 results)

Data (13,239)

Data (13,239) (70 to 80 of 13,239 results)

Analysis (10,753)

Analysis (10,753) (10,690 to 10,700 of 10,753 results)

  • 10,691. 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
  • 10,692. 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
  • 10,693. 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
  • 10,694. 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
  • 10,695. 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
  • 10,696. 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
  • 10,697. 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
  • 10,698. Some methods for updating sample survey frames and their effects on estimation - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254834
    Description: Frames designed for continuous surveys are sometimes used for ad hoc surveys which require selection of sampling units separate from those selected for the continuous survey. This paper presents an unbiased extension of Keyfitz’s (1951) sample updating method to the case where a portion of the frame has been reserved for surveys other than the main continuous survey. A simple although biased alternative is presented.

    The scope under Platek and Singh’s (1975) design strategy for an area based continuous survey requiring updating is then expanded to encompass rotation of first stage units, establishment of a separate special survey sub-frame, and procedures to prevent re-selection of ultimate sampling units.

    The methods are evaluated in a Monte Carlo study using Census data to simulate the design for the Canadian Labour Force Survey.
    Release date: 1978-12-15
  • 10,699. Alternative estimators in PPS sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254835
    Description: Some estimators alternative to the usual PPS estimator are suggested in this paper for situations where the size measure used for PPS sampling is not correlated with the study variable and where data are available on another supplementary variable (size measure). Properties of these estimators are studied under super-population models and also empirically.
    Release date: 1978-12-15
  • 10,700. Non-response and imputation - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254830
    Description: The problems of dealing with non-response at various stages of survey planning are discussed with implications for the mean square error, practicality and possible advantages and disadvantages. Conceptual issues of editing and imputation are also considered with regard to complexity and levels of imputation. The methods of imputation include weighting, duplication, and substitution of historical records. The paper includes some methodology on the bias and variance.
    Release date: 1978-12-15
Reference (2,027)

Reference (2,027) (10 to 20 of 2,027 results)

  • 11. Population Projections for Canada (2025 to 2075), Provinces and Territories (2025 to 2050): Technical Report on Methodology and Assumptions - Open in new window/tab
    Surveys and statistical programs – Documentation: 17-20-00032026002
    Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.
    Release date: 2026-01-27
  • 12. Canadian Food Environment Dataset: A New Pan-Canadian Dataset of Retail Food Environment Measures - Open in new window/tab
    Surveys and statistical programs – Documentation: 13-20-0001
    Description: The Canadian Food Environment Dataset (Can-FED) is a pan-Canadian dataset of retail food environment measures at the dissemination area (DA) level based on food outlet data from the Statistics Canada Business Register.
    Release date: 2025-12-19
  • 13. Canadian Food Environment Dataset: User Guide - Open in new window/tab
    Surveys and statistical programs – Documentation: 13-20-00012025002
    Description: This user guide contains supporting documentation for the Canadian Food Environment Dataset (Can-FED). Can-FED is a pan-Canadian dataset of retail food environment measures at the dissemination area level based on food outlet data from the 2024 Statistics Canada Business Register.
    Release date: 2025-12-19
  • 14. Persistence and graduation indicators of postsecondary students, 2011/2012 to 2023/2024 - Open in new window/tab
    Surveys and statistical programs – Documentation: 37-20-00012025003
    Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are based on the longitudinal Postsecondary Student Information System (PSIS) administrative data files. Statistics Canada has derived a series of annual indicators of public postsecondary students including persistence rates, graduation rates, and average time to graduation by educational qualification, field of study, age group and gender for Canada, the provinces, and the three combined Territories.
    Release date: 2025-12-17
  • 15. Technical Reference Guides for the Education and Labour Market Longitudinal Platform (ELMLP) - Open in new window/tab
    Surveys and statistical programs – Documentation: 37-20-0001
    Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.
    Release date: 2025-12-17
  • 16. Technical Guide on Demographic Estimates at Statistics Canada - Open in new window/tab
    Surveys and statistical programs – Documentation: 91-528-X
    Description: The Technical Guide on Demographic Estimates at Statistics Canada provides detailed descriptions of the most current data sources and methods used by the Centre for demography at Statistics Canada to produce demographic estimates as part of the Demographic estimates program. They comprise postcensal and intercensal population estimates; base population; births and deaths; immigrants; emigrants; returning emigrants; non-permanent residents; interprovincial migration; subprovincial estimates of population and intraprovincial migration; population estimates by age and gender; and census family estimates. A glossary of commonly used terms is available at the end of the guide.
    Release date: 2025-12-17
  • 17. Technical Guide for the Telecommunications Services Producer Price Indexes - Open in new window/tab
    Surveys and statistical programs – Documentation: 62F0014M2025008
    Description: This technical guide describes the methodological details for the  Telecommunications Services Producer Price Indexes (TSPPI). The document includes information about the purpose of the index, index coverage, data source and availability, pricing methodology, and limitations.
    Release date: 2025-12-17
  • 18. Longitudinal Immigration Database (IMDB) Technical Report, 2024 - Open in new window/tab
    Surveys and statistical programs – Documentation: 11-633-X2025004
    Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.
    Release date: 2025-12-08
  • 19. Canadian Export Classification - Open in new window/tab
    Classification: 65-209-X
    Description: The Canadian Export Classification is a structured, hierarchical classification system based on the Harmonized Description and Coding System. The HS nomenclature is divided into 21 Sections, which in general, group goods produced in the same sector of the economy.
    Release date: 2025-12-04
  • 20. The Guide to the Post Index - Open in new window/tab
    Surveys and statistical programs – Documentation: 62F0072G
    Description: The Post Indexes are a collection of spatial price indexes for Government of Canada staff posted abroad that compare the cost of purchasing a fixed basket of goods and services between the post locations and Ottawa. These indexes are constructed as part of Foreign Service Directive 55.
    Release date: 2025-11-25
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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