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  2. Response surface methodology - Wikipedia

    en.wikipedia.org/wiki/Response_surface_methodology

    Designed experiments with full factorial design (left), response surface with second-degree polynomial (right) In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. RSM is an empirical model which employs the use of mathematical and statistical ...

  3. Critical path method - Wikipedia

    en.wikipedia.org/wiki/Critical_path_method

    The critical path method (CPM), or critical path analysis (CPA), is an algorithm for scheduling a set of project activities. [1] A critical path is determined by identifying the longest stretch of dependent activities and measuring the time [ 2 ] required to complete them from start to finish.

  4. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    Quantitative methods produced errors of 10–15%, and traditional unstructured forecast methods had errors of about 20%. (This is only one example; the overall accuracy of the technique is mixed.) The Delphi method has also been used as a tool to implement multi-stakeholder approaches for participative policy-making in developing countries.

  5. List of graphical methods - Wikipedia

    en.wikipedia.org/wiki/List_of_graphical_methods

    This is a list of graphical methods with a mathematical basis. Included are diagram techniques, chart techniques, plot techniques, and other forms of visualization . There is also a list of computer graphics and descriptive geometry topics .

  6. Program evaluation and review technique - Wikipedia

    en.wikipedia.org/wiki/Program_Evaluation_and...

    Activity e is listed with b and c as predecessor activities, so node e is drawn with arrows coming from both b and c, signifying that e cannot begin until both b and c have been completed. Activity f has d as a predecessor activity, so an arrow is drawn connecting the activities. Likewise, an arrow is drawn from e to g.

  7. Difference in differences - Wikipedia

    en.wikipedia.org/wiki/Difference_in_differences

    Difference in differences (DID [1] or DD [2]) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. [3]

  8. Structural equation modeling - Wikipedia

    en.wikipedia.org/wiki/Structural_equation_modeling

    Structural equation modeling (SEM) is a diverse set of methods used by scientists for both observational and experimental research. SEM is used mostly in the social and behavioral science fields, but it is also used in epidemiology, [ 2 ] business, [ 3 ] and other fields.

  9. Elementary effects method - Wikipedia

    en.wikipedia.org/wiki/Elementary_effects_method

    Like all screening, the EE method provides qualitative sensitivity analysis measures, i.e. measures which allow the identification of non-influential inputs or which allow to rank the input factors in order of importance, but do not quantify exactly the relative importance of the inputs.