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  2. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    SPSS: A dialog box for Propensity Score Matching is available from the IBM SPSS Statistics menu (Data/Propensity Score Matching), and allows the user to set the match tolerance, randomize case order when drawing samples, prioritize exact matches, sample with or without replacement, set a random seed, and maximize performance by increasing ...

  3. Matching (statistics) - Wikipedia

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

    Matching is a statistical technique that evaluates the effect of a treatment by comparing the treated and the non-treated units in an observational study or quasi-experiment (i.e. when the treatment is not randomly assigned).

  4. Template:Attached KML/California State Route 29 - Wikipedia

    en.wikipedia.org/.../California_State_Route_29

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

  5. Federal Information Processing Standard state code - Wikipedia

    en.wikipedia.org/wiki/Federal_Information...

    The FIPS state alpha code for each U.S. states and the District of Columbia are identical to the postal abbreviations by the United States Postal Service. From September 3, 1987, the same was true of the alpha code for each of the outlying areas, with the exception of U.S. Minor Outlying Islands (UM) as the USPS routes mail for these islands ...

  6. Inverse probability weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_probability_weighting

    An alternative estimator is the augmented inverse probability weighted estimator (AIPWE) combines both the properties of the regression based estimator and the inverse probability weighted estimator. It is therefore a 'doubly robust' method in that it only requires either the propensity or outcome model to be correctly specified but not both.

  7. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.

  8. Goods and Services Tax (India) - Wikipedia

    en.wikipedia.org/wiki/Goods_and_Services_Tax_(India)

    The GST replaced existing multiple taxes levied by the central and state governments. Also, to boost GST billing in India, the Government of India, in association with state governments, has launched an "Invoice Incentive Scheme" (Mera Bill Mera Adhikaar). This will encourage the culture of customers asking for invoices and bills for all purchases.

  9. Template:Infobox U.S. State legislation - Wikipedia

    en.wikipedia.org/wiki/Template:Infobox_U.S...

    State Name of the state. This name is used to pull a vector image of the state seal (ex: File:Seal_of_California.svg), link to the state page (ex: California State Legislature), and add the page to the appropriate category (ex: Category:California statutes) Example: State = California; Example: State = New Hampshire; Full_name Name of the ...