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  2. Module:If not given or empty - Wikipedia

    en.wikipedia.org/wiki/Module:If_not_given_or_empty

    Text before and after is not added because when does not contain NG (for not given). {{Infobox some thing|image=}} final output is before EMPTY after. Text before and after is added because when contains EM (for empty). {{Infobox some thing|image=Green pog.svg}} final output is the equivalent of [[File:Green pog.svg|30px]].

  3. Imputation (statistics) - Wikipedia

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

    One approach is multiple imputation by chained equations (MICE), also known as "fully conditional specification" and "sequential regression multiple imputation." [ 15 ] MICE is designed for missing at random data, though there is simulation evidence to suggest that with a sufficient number of auxiliary variables it can also work on data that ...

  4. Module:If not given or empty/doc - Wikipedia

    en.wikipedia.org/wiki/Module:If_not_given_or...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file

  5. Missing data - Wikipedia

    en.wikipedia.org/wiki/Missing_data

    Missing not at random (MNAR) (also known as nonignorable nonresponse) is data that is neither MAR nor MCAR (i.e. the value of the variable that's missing is related to the reason it's missing). [5] To extend the previous example, this would occur if men failed to fill in a depression survey because of their level of depression.

  6. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    Some spreadsheet implementations in Excel allow cell references to another spreadsheet (not the currently open and active file) on the same computer or a local network. It may also refer to a cell in another open and active spreadsheet on the same computer or network that is defined as shareable.

  7. Degrees of freedom (statistics) - Wikipedia

    en.wikipedia.org/.../Degrees_of_freedom_(statistics)

    In contrast to a simple linear or polynomial fit, computing the effective degrees of freedom of the smoothing function is not straightforward. In these cases, it is important to estimate the Degrees of Freedom permitted by the H {\displaystyle H} matrix so that the residual degrees of freedom can then be used to estimate statistical tests such ...

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  9. Blocking (statistics) - Wikipedia

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

    In the examples listed above, a nuisance variable is a variable that is not the primary focus of the study but can affect the outcomes of the experiment. [3] They are considered potential sources of variability that, if not controlled or accounted for, may confound the interpretation between the independent and dependent variables.