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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    using a target variance for an estimate to be derived from the sample eventually obtained, i.e., if a high precision is required (narrow confidence interval) this translates to a low target variance of the estimator. the use of a power target, i.e. the power of statistical test to be applied once the sample is collected.

  3. Sage Group - Wikipedia

    en.wikipedia.org/wiki/Sage_Group

    The Sage Group plc, commonly known as Sage, is a British multinational enterprise software company based in Newcastle upon Tyne, England.As of 2017, it is the UK's second largest technology company, [3] the world's third-largest supplier of enterprise resource planning software (behind Oracle and SAP), the largest supplier to small businesses, and has 6.1 million customers worldwide. [4]

  4. Bootstrapping (statistics) - Wikipedia

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

    The bootstrap is generally useful for estimating the distribution of a statistic (e.g. mean, variance) without using normality assumptions (as required, e.g., for a z-statistic or a t-statistic). In particular, the bootstrap is useful when there is no analytical form or an asymptotic theory (e.g., an applicable central limit theorem ) to help ...

  5. Estimating The Intrinsic Value Of The Sage Group plc ... - AOL

    www.aol.com/news/estimating-intrinsic-value-sage...

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  6. Estimation statistics - Wikipedia

    en.wikipedia.org/wiki/Estimation_statistics

    Many significance tests have an estimation counterpart; [26] in almost every case, the test result (or its p-value) can be simply substituted with the effect size and a precision estimate. For example, instead of using Student's t-test, the analyst can compare two independent groups by calculating the mean difference and its 95% confidence ...

  7. Estimation of covariance matrices - Wikipedia

    en.wikipedia.org/wiki/Estimation_of_covariance...

    One approach to estimating the covariance matrix is to treat the estimation of each variance or pairwise covariance separately, and to use all the observations for which both variables have valid values. Assuming the missing data are missing at random this results in an estimate for the covariance matrix which is unbiased. However, for many ...

  8. Estimation (project management) - Wikipedia

    en.wikipedia.org/wiki/Estimation_(project...

    Cost estimate; Delphi method; Documenting estimation results; Educated assumptions; Estimating each task; Examining historical data; Identifying dependencies; Parametric estimating; Risk assessment; Structured planning; Popular estimation processes for software projects include: Cocomo; Cosysmo; Event chain methodology; Function points ...

  9. Burning Sage Without Knowing The Indigenous Practice’s ...

    www.aol.com/burning-sage-without-knowing...

    Hell, you might’ve purchased a bundle yourself from a major retailer like Etsy, Amazon, or Walmart, to sage your home—not knowing the plant’s history, cultural significance, or traditional use.