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  2. Long-range dependence - Wikipedia

    en.wikipedia.org/wiki/Long-range_dependence

    Long-range dependence (LRD), also called long memory or long-range persistence, is a phenomenon that may arise in the analysis of spatial or time series data. It relates to the rate of decay of statistical dependence of two points with increasing time interval or spatial distance between the points.

  3. Labour Research Department - Wikipedia

    en.wikipedia.org/wiki/Labour_Research_Department

    The Labour Research Department (LRD) is an independent trade union based research organisation, based in London, that provides information to support trade union activity and campaigns. About 2,000 trade union organisations, including 51 national unions in the UK, representing more than 99% of total Trades Union Congress (TUC) membership, are ...

  4. Labor force in the United States - Wikipedia

    en.wikipedia.org/wiki/Labor_force_in_the_United...

    In February 2020, at the start of the COVID-19 pandemic in the United States, there were 164.6 million civilians in the labor force. [2] Before the pandemic, the U.S. labor force had risen each year since 1960 with the exception of the period following the Great Recession , when it remained below 2008 levels from 2009 to 2011. [ 2 ]

  5. LRD - Wikipedia

    en.wikipedia.org/wiki/LRD

    LRD. 6 languages. Català ... in statistics; Little red dot (galaxy) This page was last edited on 30 January 2025, at 21:24 (UTC). Text is available under the ...

  6. 2020 United States census - Wikipedia

    en.wikipedia.org/wiki/2020_United_States_census

    The 2020 United States census was the 24th decennial United States census.Census Day, the reference day used for the census, was April 1, 2020.Other than a pilot study during the 2000 census, [1] this was the first U.S. census to offer options to respond online or by phone, in addition to the paper response form used for previous censuses.

  7. Lord's paradox - Wikipedia

    en.wikipedia.org/wiki/Lord's_paradox

    Moreover, since the answer depends on the causal model assumed, we should explain: (1) Why people find Lord’s story to be "Paradoxical" rather than "In need of more information" and, (2) How to properly utilize causal models to answer Lord’s question, regardless of whether they are testable or not.

  8. Statistics of the COVID-19 pandemic in the United Kingdom

    en.wikipedia.org/wiki/Statistics_of_the_COVID-19...

    In November 2021 researchers from the universities of Oxford and Glasgow published a paper stating that the COVID-19 death rate was significantly lower (33%) in districts that voted most in favour of remaining in the European Union in the 2016 Brexit referendum. They suggest "different cultures and belief systems" should be taken into account ...

  9. Adrian Smith (statistician) - Wikipedia

    en.wikipedia.org/wiki/Adrian_Smith_(statistician)

    In mathematics and statistics education, Smith led the team which produced the Smith Report on secondary mathematics education in the United Kingdom. In April 2008, Smith was appointed as director general of science and research at the Department for Innovation, Universities and Skills (since merged with other departments to form the UK's BEIS ).