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  2. Censoring (statistics) - Wikipedia

    en.wikipedia.org/wiki/Censoring_(statistics)

    Special techniques may be used to handle censored data. Tests with specific failure times are coded as actual failures; censored data are coded for the type of censoring and the known interval or limit. Special software programs (often reliability oriented) can conduct a maximum likelihood estimation for summary statistics, confidence intervals ...

  3. File:Censored Data Example.svg - Wikipedia

    en.wikipedia.org/wiki/File:Censored_Data_Example.svg

    Example of censoring data: five replicate tests resulting in four failures and one suspended time. ... Description=Example of censoring data ... Censored_Data_Example ...

  4. Internet censorship - Wikipedia

    en.wikipedia.org/wiki/Internet_censorship

    Internet censorship is the legal control or suppression of what can be accessed, published, or viewed on the Internet. Censorship is most often applied to specific internet domains (such as Wikipedia.org, for example) but exceptionally may extend to all Internet resources located outside the jurisdiction of the censoring state.

  5. Censored regression model - Wikipedia

    en.wikipedia.org/wiki/Censored_regression_model

    A commonly used likelihood-based model to accommodate to a censored sample is the Tobit model, [1] but quantile and nonparametric estimators have also been developed. [2] [3] These and other censored regression models are often confused with truncated regression models. Truncated regression models are used for data where whole observations are ...

  6. Internet censorship in the United States - Wikipedia

    en.wikipedia.org/wiki/Internet_censorship_in_the...

    Internet censorship in the United States of America is the suppression of information published or viewed on the Internet in the United States.The First Amendment of the United States Constitution protects freedom of speech and expression against federal, state, and local government censorship.

  7. Tobit model - Wikipedia

    en.wikipedia.org/wiki/Tobit_model

    In statistics, a tobit model is any of a class of regression models in which the observed range of the dependent variable is censored in some way. [1] The term was coined by Arthur Goldberger in reference to James Tobin, [2] [a] who developed the model in 1958 to mitigate the problem of zero-inflated data for observations of household expenditure on durable goods.

  8. Internet censorship and surveillance in the Americas - Wikipedia

    en.wikipedia.org/wiki/Internet_censorship_and...

    when the OpenNet Initiative categorizes the level of Internet filtering as pervasive in any of the four areas (political, social, conflict/security, and Internet tools) for which they test. Substantial censorship or surveillance: Countries included in this classification are engaged in substantial Internet censorship and surveillance. This ...

  9. Top-coded - Wikipedia

    en.wikipedia.org/wiki/Top-coded

    Top-coding occurs for data recorded in groups, e.g. if age ranges are reported in these groups: 0-20, 21-50, 50-99, 100-and-up. Here we only know how many people have ages above 100, not their distribution. Producers of survey data sometimes release the average of the censored amounts to help users impute unbiased estimates of the top group.