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  2. Homogeneity and heterogeneity (statistics) - Wikipedia

    en.wikipedia.org/wiki/Homogeneity_and...

    “Skedasticity” comes from the Ancient Greek word “skedánnymi”, meaning “to scatter”. [ 1 ] [ 2 ] [ 3 ] Assuming a variable is homoscedastic when in reality it is heteroscedastic ( / ˌ h ɛ t ər oʊ s k ə ˈ d æ s t ɪ k / ) results in unbiased but inefficient point estimates and in biased estimates of standard errors , and may ...

  3. Homogeneity and heterogeneity - Wikipedia

    en.wikipedia.org/wiki/Homogeneity_and_heterogeneity

    Homogeneity and heterogeneity; only ' b ' is homogeneous Homogeneity and heterogeneity are concepts relating to the uniformity of a substance, process or image.A homogeneous feature is uniform in composition or character (i.e., color, shape, size, weight, height, distribution, texture, language, income, disease, temperature, radioactivity, architectural design, etc.); one that is heterogeneous ...

  4. Study heterogeneity - Wikipedia

    en.wikipedia.org/wiki/Study_heterogeneity

    In case the origin of heterogeneity can be identified and may be attributed to certain study features, the analysis may be stratified (by considering subgroups of studies, which would then hopefully be more homogeneous), or by extending the analysis to a meta-regression, accounting for (continuous or categorical) moderator variables.

  5. Information integration - Wikipedia

    en.wikipedia.org/wiki/Information_integration

    Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations.It is used in data mining and consolidation of data from unstructured or semi-structured resources.

  6. Semantic heterogeneity - Wikipedia

    en.wikipedia.org/wiki/Semantic_heterogeneity

    Semantic heterogeneity is one of the more important sources of differences in heterogeneous datasets. Yet, for multiple data sources to interoperate with one another, it is essential to reconcile these semantic differences. Decomposing the various sources of semantic heterogeneities provides a basis for understanding how to map and transform ...

  7. Sensor fusion - Wikipedia

    en.wikipedia.org/wiki/Sensor_fusion

    Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input. Sensor fusion is also known as (multi-sensor) data fusion and is a subset of information fusion.

  8. Mathematical sciences - Wikipedia

    en.wikipedia.org/wiki/Mathematical_sciences

    Division of Mathematical Sciences at the National Science Foundation, including a list of disciplinary areas supported; Faculty of Mathematical Sciences at University of Khartoum, offers academic degrees in Mathematics, Computer Sciences and Statistics; Programs of the Mathematical Sciences Research Institute

  9. Heterogeneous computing - Wikipedia

    en.wikipedia.org/wiki/Heterogeneous_computing

    Heterogeneous computing refers to systems that use more than one kind of processor or core. These systems gain performance or energy efficiency not just by adding the same type of processors, but by adding dissimilar coprocessors , usually incorporating specialized processing capabilities to handle particular tasks.