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  2. Missing data - Wikipedia

    en.wikipedia.org/wiki/Missing_data

    In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points. In the comparison of two paired samples with missing data, a test statistic that uses all available data without the need for imputation is the partially overlapping samples t-test. [18]

  3. Interpolation - Wikipedia

    en.wikipedia.org/wiki/Interpolation

    The term extrapolation is used to find data points outside the range of known data points. In curve fitting problems, the constraint that the interpolant has to go exactly through the data points is relaxed. It is only required to approach the data points as closely as possible (within some other constraints).

  4. Leverage (statistics) - Wikipedia

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

    That is, high-leverage points have no neighboring points in space, where is the number of independent variables in a regression model. This makes the fitted model likely to pass close to a high leverage observation. [1] Hence high-leverage points have the potential to cause large changes in the parameter estimates when they are deleted i.e., to ...

  5. Imputation (statistics) - Wikipedia

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

    When substituting for a data point, it is known as "unit imputation"; when substituting for a component of a data point, it is known as "item imputation". There are three main problems that missing data causes: missing data can introduce a substantial amount of bias , make the handling and analysis of the data more arduous , and create ...

  6. Savings interest rates today: New year, new chance to grow ...

    www.aol.com/finance/savings-interest-rates-today...

    The best high-yield savings accounts require no minimum balances to earn high rates of interest. Variable APY. APYs can be fixed or variable, depending on the type of deposit account. Fixed rates ...

  7. Errors-in-variables model - Wikipedia

    en.wikipedia.org/wiki/Errors-in-variables_model

    The instrumental variables approach requires us to find additional data variables z t that serve as instruments for the mismeasured regressors x t. This method is the simplest from the implementation point of view, however its disadvantage is that it requires collecting additional data, which may be costly or even impossible.

  8. Mortgage and refinance rates for Jan. 3, 2025: Average rates ...

    www.aol.com/mortgage-and-refinance-rates-for-jan...

    The current average rate for a 30-year fixed mortgage is 6.95% for purchase and 6.99% for refinance, down 4 basis points from 6.99% for purchase and 2 basis points from 7.01% for refinance this ...

  9. Savings interest rates today: Yes, you can still find APYs of ...

    www.aol.com/finance/savings-interest-rates-today...

    The best high-yield savings accounts require no minimum balances to earn high rates of interest. Variable APY. APYs can be fixed or variable, depending on the type of deposit account. Fixed rates ...