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All (273) (10 to 20 of 273 results)

  • Articles and reports: 12-001-X201600214676
    Description:

    Winsorization procedures replace extreme values with less extreme values, effectively moving the original extreme values toward the center of the distribution. Winsorization therefore both detects and treats influential values. Mulry, Oliver and Kaputa (2014) compare the performance of the one-sided Winsorization method developed by Clark (1995) and described by Chambers, Kokic, Smith and Cruddas (2000) to the performance of M-estimation (Beaumont and Alavi 2004) in highly skewed business population data. One aspect of particular interest for methods that detect and treat influential values is the range of values designated as influential, called the detection region. The Clark Winsorization algorithm is easy to implement and can be extremely effective. However, the resultant detection region is highly dependent on the number of influential values in the sample, especially when the survey totals are expected to vary greatly by collection period. In this note, we examine the effect of the number and magnitude of influential values on the detection regions from Clark Winsorization using data simulated to realistically reflect the properties of the population for the Monthly Retail Trade Survey (MRTS) conducted by the U.S. Census Bureau. Estimates from the MRTS and other economic surveys are used in economic indicators, such as the Gross Domestic Product (GDP).

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214677
    Description:

    How do we tell whether weighting adjustments reduce nonresponse bias? If a variable is measured for everyone in the selected sample, then the design weights can be used to calculate an approximately unbiased estimate of the population mean or total for that variable. A second estimate of the population mean or total can be calculated using the survey respondents only, with weights that have been adjusted for nonresponse. If the two estimates disagree, then there is evidence that the weight adjustments may not have removed the nonresponse bias for that variable. In this paper we develop the theoretical properties of linearization and jackknife variance estimators for evaluating the bias of an estimated population mean or total by comparing estimates calculated from overlapping subsets of the same data with different sets of weights, when poststratification or inverse propensity weighting is used for the nonresponse adjustments to the weights. We provide sufficient conditions on the population, sample, and response mechanism for the variance estimators to be consistent, and demonstrate their small-sample properties through a simulation study.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214684
    Description:

    This paper introduces an incomplete adaptive cluster sampling design that is easy to implement, controls the sample size well, and does not need to follow the neighbourhood. In this design, an initial sample is first selected, using one of the conventional designs. If a cell satisfies a prespecified condition, a specified radius around the cell is sampled completely. The population mean is estimated using the \pi-estimator. If all the inclusion probabilities are known, then an unbiased \pi estimator is available; if, depending on the situation, the inclusion probabilities are not known for some of the final sample units, then they are estimated. To estimate the inclusion probabilities, a biased estimator is constructed. However, the simulations show that if the sample size is large enough, the error of the inclusion probabilities is negligible, and the relative \pi-estimator is almost unbiased. This design rivals adaptive cluster sampling because it controls the final sample size and is easy to manage. It rivals adaptive two-stage sequential sampling because it considers the cluster form of the population and reduces the cost of moving across the area. Using real data on a bird population and simulations, the paper compares the design with adaptive two-stage sequential sampling. The simulations show that the design has significant efficiency in comparison with its rival.

    Release date: 2016-12-20

  • Stats in brief: 51-004-X2016031
    Description:

    This report presents monthly aircraft movements for Canadian airports with NAV CANADA air traffic control towers and NAV CANADA flight service stations.

    Release date: 2016-12-20

  • Articles and reports: 75-006-X201600114693
    Description:

    Based on data from the 2014 General Social Survey, this article examines the characteristics associated with being a victim of cyberbullying or cyberstalking within the last five years for the population aged 15 to 29. This article also examines the association between cyberbullying and cyberstalking and various indicators of trust, personal behaviour and mental health.

    Release date: 2016-12-19

  • Articles and reports: 11-630-X2016009
    Description:

    This issue of Canadian Megatrends describes the share of market income earned by the highest earners in society and how that portion has changed from 1920 to 2014.

    Release date: 2016-12-16

  • Stats in brief: 16-508-X2016002
    Description:

    This fact sheet looks at Canadian households' awareness of radon.

    Release date: 2016-12-16

  • Articles and reports: 85-002-X201600114679
    Description:

    Using data from the Uniform Crime Reporting Survey, this Juristat article presents data on police-reported impaired driving, including data specific to drug-impaired driving. More precisely, it examines the trends of impaired driving in Canada, the provinces and territories and in census metropolitan areas. Characteristics of impaired driving, such as the age and sex of accused persons and the time of day or time of year when those incidents occur, are also examined. The analysis is also supported by self-reported data on impaired driving from the Canadian community health survey. This Juristat article also presents data on impaired driving cases completed by criminal courts, including comparisons between alcohol and drug-impaired cases.

    Release date: 2016-12-14

  • Journals and periodicals: 65-509-X
    Description:

    The software is a free and user-friendly application which enables exporters and their agents (including service providers) to electronically report their goods directly to the Government of Canada thus eliminating the manual reporting process form (B13A). The CAED software features a Harmonized system commodity classification search, built-in encryption software, memorisable screens, extensive on-line help and Internet transmission capabilities.

    Release date: 2016-12-12

  • Stats in brief: 82-624-X201600114683
    Description:

    This article explores difficulty accessing selected health care services, reported by Canadians aged 15 and older. Some of the sociodemographic characteristics (e.g., age, sex, level of education) and main reasons associated with difficulty accessing health care are highlighted. Data are from the Canadian Community Health Survey 2003, 2005, 2007, 2009, 2011 and 2013.

    Release date: 2016-12-08
Stats in brief (80)

Stats in brief (80) (0 to 10 of 80 results)

Articles and reports (188)

Articles and reports (188) (0 to 10 of 188 results)

  • Articles and reports: 11-626-X2016065
    Description:

    The U.S.–Canada purchasing power parity (PPP) is a measure of the relative price level between Canada and the United States. It measures the difference, in dollars, that exists between the two countries for an individual or firm wishing to purchase an equivalent basket of goods and services in each country. This Economic Insights article presents quarterly estimates from Statistics Canada for the U.S.–Canada purchasing power parity. It is part of a series of research papers and articles that examine differences in price levels between Canada and the United States.

    Release date: 2016-12-22

  • Articles and reports: 11-626-X2016066
    Description:

    This Economic Insights article assesses the effect of falling commodity prices on Canadian real income. It is part of a research program that examines links between natural resources and economic growth.

    Release date: 2016-12-22

  • Articles and reports: 82-003-X201601214686
    Description:

    This study examines birth and death registration data and census data to compare rates of preterm birth, small-for-gestational-age birth, stillbirth and infant mortality, based on the presence or absence of paternal data on the birth registration and in census results, while controlling for maternal characteristics.

    Release date: 2016-12-21

  • Articles and reports: 82-003-X201601214687
    Description:

    This study describes record linkage of the Canadian Community Health Survey and the Canadian Mortality Database. The article explains the record linkage process and presents results about associations between health behaviours and mortality among a representative sample of Canadians.

    Release date: 2016-12-21

  • Articles and reports: 82-003-X201601214688
    Description:

    This study uses information from the Immigrant Landing File and the 2006 Census of Population linked to the Discharge Abstract Database to compare age-standardized hospitalization rates of refugees with those of other immigrants and the Canadian-born population.

    Release date: 2016-12-21

  • Articles and reports: 12-001-X201600214660
    Description:

    In an economic survey of a sample of enterprises, occupations are randomly selected from a list until a number r of occupations in a local unit has been identified. This is an inverse sampling problem for which we are proposing a few solutions. Simple designs with and without replacement are processed using negative binomial distributions and negative hypergeometric distributions. We also propose estimators for when the units are selected with unequal probabilities, with or without replacement.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214661
    Description:

    An example presented by Jean-Claude Deville in 2005 is subjected to three estimation methods: the method of moments, the maximum likelihood method, and generalized calibration. The three methods yield exactly the same results for the two non-response models. A discussion follows on how to choose the most appropriate model.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214662
    Description:

    Two-phase sampling designs are often used in surveys when the sampling frame contains little or no auxiliary information. In this note, we shed some light on the concept of invariance, which is often mentioned in the context of two-phase sampling designs. We define two types of invariant two-phase designs: strongly invariant and weakly invariant two-phase designs. Some examples are given. Finally, we describe the implications of strong and weak invariance from an inference point of view.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214663
    Description:

    We present theoretical evidence that efforts during data collection to balance the survey response with respect to selected auxiliary variables will improve the chances for low nonresponse bias in the estimates that are ultimately produced by calibrated weighting. One of our results shows that the variance of the bias – measured here as the deviation of the calibration estimator from the (unrealized) full-sample unbiased estimator – decreases linearly as a function of the response imbalance that we assume measured and controlled continuously over the data collection period. An attractive prospect is thus a lower risk of bias if one can manage the data collection to get low imbalance. The theoretical results are validated in a simulation study with real data from an Estonian household survey.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214664
    Description:

    This paper draws statistical inference for finite population mean based on judgment post stratified (JPS) samples. The JPS sample first selects a simple random sample and then stratifies the selected units into H judgment classes based on their relative positions (ranks) in a small set of size H. This leads to a sample with random sample sizes in judgment classes. Ranking process can be performed either using auxiliary variables or visual inspection to identify the ranks of the measured observations. The paper develops unbiased estimator and constructs confidence interval for population mean. Since judgment ranks are random variables, by conditioning on the measured observations we construct Rao-Blackwellized estimators for the population mean. The paper shows that Rao-Blackwellized estimators perform better than usual JPS estimators. The proposed estimators are applied to 2012 United States Department of Agriculture Census Data.

    Release date: 2016-12-20
Journals and periodicals (5)

Journals and periodicals (5) ((5 results))

  • Journals and periodicals: 65-509-X
    Description:

    The software is a free and user-friendly application which enables exporters and their agents (including service providers) to electronically report their goods directly to the Government of Canada thus eliminating the manual reporting process form (B13A). The CAED software features a Harmonized system commodity classification search, built-in encryption software, memorisable screens, extensive on-line help and Internet transmission capabilities.

    Release date: 2016-12-12

  • Journals and periodicals: 11-634-X
    Description:

    This publication is a catalogue of strategies and mechanisms that a statistical organization should consider adopting, according to its particular context. This compendium is based on lessons learned and best practices of leadership and management of statistical agencies within the scope of Statistics Canada’s International Statistical Fellowship Program (ISFP). It contains four broad sections including, characteristics of an effective national statistical system; core management practices; improving, modernizing and finding efficiencies; and, strategies to better inform and engage key stakeholders.

    Release date: 2016-07-06

  • Journals and periodicals: 89-656-X
    Description:

    This product is a series of geographic profiles that include provinces and territories as well as the four Inuit regions of Inuit Nunangat. This series presents a summary of characteristics about the Aboriginal population living in these areas. Demographic data and information on living arrangements of children, education, employment, income, housing, health and language are highlighted. Data for each Aboriginal group, as well as data for the non-Aboriginal population, are provided separately for select variables. Findings are based on the 2011 National Household Survey, the 2012 Canadian Community Health Survey, and the 2012 Aboriginal Peoples Survey.

    Release date: 2016-03-29

  • Journals and periodicals: 11-522-X
    Description:

    Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.

    Release date: 2016-03-24

  • Journals and periodicals: 57-602-G
    Description:

    The objective of this document is to present a proposed Statistical Framework for Energy in Canada, which will help guide data providers and users in the development of a strategic plan for addressing priority elements of the proposed framework.

    The framework is intended to apply to energy statistics in Canada in general, with application across a broad range of stakeholders involved in the collection, dissemination and use of energy statistics, including provincial and territorial administrative and statistical agencies.

    Release date: 2016-02-19
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