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  2. Surrogate model - Wikipedia

    en.wikipedia.org/wiki/Surrogate_model

    When only a single design variable is involved, the process is known as curve fitting. Though using surrogate models in lieu of experiments and simulations in engineering design is more common, surrogate modeling may be used in many other areas of science where there are expensive experiments and/or function evaluations.

  3. Subrogation - Wikipedia

    en.wikipedia.org/wiki/Subrogation

    Subrogation is the assumption by a third party (such as a second creditor or an insurance company) of another party's legal right to collect debts or damages. [1] It is a legal doctrine whereby one person is entitled to enforce the subsisting or revived rights of another for their own benefit. [ 2 ]

  4. Surrogate data testing - Wikipedia

    en.wikipedia.org/wiki/Surrogate_data_testing

    The above mentioned techniques are called linear surrogate methods, because they are based on a linear process and address a linear null hypothesis. [9] Broadly speaking, these methods are useful for data showing irregular fluctuations (short-term variabilities) and data with such a behaviour abound in the real world.

  5. Surrogate endpoint - Wikipedia

    en.wikipedia.org/wiki/Surrogate_endpoint

    A correlate does not make a surrogate. It is a common misconception that if an outcome is a correlate (that is, correlated with the true clinical outcome) it can be used as a valid surrogate endpoint (that is, a replacement for the true clinical outcome).

  6. Process science - Wikipedia

    en.wikipedia.org/wiki/Process_science

    Process science is the method of describing change from an inquiry-oriented process perspective. [1] [2] [3] Process science includes algorithms, heuristics, and sequences found in psychology, linguistics, anthropology, politics, and economics. [4] In sociology, processes are temporal. [5] In computer science, a process is the collective input ...

  7. Design science (methodology) - Wikipedia

    en.wikipedia.org/wiki/Design_science_(methodology)

    Design science research (DSR) is a research paradigm focusing on the development and validation of prescriptive knowledge in information science. Herbert Simon distinguished the natural sciences, concerned with explaining how things are, from design sciences which are concerned with how things ought to be, [1] that is, with devising artifacts to attain goals.

  8. Scientific integrity - Wikipedia

    en.wikipedia.org/wiki/Scientific_integrity

    Through this process, open science has been increasingly structured over a consisting set of ethical principles: "novel open science practices have developed in tandem with novel organising forms of conducting and sharing research through open repositories, open physical labs, and transdisciplinary research platforms.

  9. Reproducibility - Wikipedia

    en.wikipedia.org/wiki/Reproducibility

    Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.