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  2. Econometrics - Wikipedia

    en.wikipedia.org/wiki/Econometrics

    In a study of the use of econometrics in major economics journals, McCloskey concluded that some economists report p-values (following the Fisherian tradition of tests of significance of point null-hypotheses) and neglect concerns of type II errors; some economists fail to report estimates of the size of effects (apart from statistical ...

  3. Estimation statistics - Wikipedia

    en.wikipedia.org/wiki/Estimation_statistics

    Estimation statistics, or simply estimation, is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. [1]

  4. Economic statistics - Wikipedia

    en.wikipedia.org/wiki/Economic_statistics

    Economic statistics is a topic in applied statistics and applied economics that concerns the collection, processing, compilation, dissemination, and analysis of economic data. It is closely related to business statistics and econometrics . [ 1 ]

  5. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    A typical "Business Statistics" course is intended for business majors, and covers [69] descriptive statistics (collection, description, analysis, and summary of data), probability (typically the binomial and normal distributions), test of hypotheses and confidence intervals, linear regression, and correlation; (follow-on) courses may include ...

  6. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The assumption of a particular form for the relation between Y and X is another source of uncertainty. A properly conducted regression analysis will include an assessment of how well the assumed form is matched by the observed data, but it can only do so within the range of values of the independent variables actually available.

  7. Estimation - Wikipedia

    en.wikipedia.org/wiki/Estimation

    In statistics, an estimator is the formal name for the rule by which an estimate is calculated from data, and estimation theory deals with finding estimates with good properties. This process is used in signal processing , for approximating an unobserved signal on the basis of an observed signal containing noise.

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