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  2. Techno-economic assessment - Wikipedia

    en.wikipedia.org/wiki/Techno-economic_assessment

    Techno-economic assessment or techno-economic analysis (abbreviated TEA) is a method of analyzing the economic performance of an industrial process, product, or service. The methodology originates from earlier work on combining technical, economic and risk assessments for chemical production processes. [ 1 ]

  3. CIPP evaluation model - Wikipedia

    en.wikipedia.org/wiki/CIPP_evaluation_model

    The CIPP evaluation model is a program evaluation model which was developed by Daniel Stufflebeam and colleagues in the 1960s. CIPP is an acronym for context, input, process and product. CIPP is a decision-focused approach to evaluation and emphasizes the systematic provision of information for program management and operation.

  4. 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 ...

  5. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    The audit module offers planning, selection and evaluation of statistical audit samples, methods for data auditing (e.g., Benford’s law) and algorithm auditing (e.g., model fairness). Bain : Bayesian informative hypotheses evaluation [ 8 ] for t-tests, ANOVA , ANCOVA , linear regression and structural equation modeling .

  6. Program evaluation - Wikipedia

    en.wikipedia.org/wiki/Program_evaluation

    The EvaluationWiki is presented by the non-profit Evaluation Resource Institute. Free Resources for Program Evaluation and Social Research Methods This is a gateway to resources on program evaluation, how to, online guides, manuals, books on methods of evaluation and free software related to evaluation.

  7. Bootstrapping (statistics) - Wikipedia

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

    Given an r-sample statistic, one can create an n-sample statistic by something similar to bootstrapping (taking the average of the statistic over all subsamples of size r). This procedure is known to have certain good properties and the result is a U-statistic. The sample mean and sample variance are of this form, for r = 1 and r = 2.