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  2. Diachrony and synchrony - Wikipedia

    en.wikipedia.org/wiki/Diachrony_and_synchrony

    Synchrony and diachrony are two complementary viewpoints in linguistic analysis. A synchronic approach (from Ancient Greek: συν- "together" and χρόνος "time") considers a language at a moment in time without taking its history into account. Synchronic linguistics aims at describing a language at a specific point of time, often the present.

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  4. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...

  5. Glossary of probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_probability...

    data data analysis data set A sample and the associated data points. data point A typed measurement — it can be a Boolean value, a real number, a vector (in which case it is also called a data vector), etc. decision rule decision theory degrees of freedom density estimation dependence dependent variable descriptive statistics design of ...

  6. Symbolic data analysis - Wikipedia

    en.wikipedia.org/wiki/Symbolic_Data_Analysis

    Symbolic data analysis ( SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure.

  7. Functional data analysis - Wikipedia

    en.wikipedia.org/wiki/Functional_data_analysis

    Functional data analysis(FDA) is a branch of statisticsthat analyses data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element of functional data is considered to be a random function.

  8. Foundations of statistics - Wikipedia

    en.wikipedia.org/wiki/Foundations_of_statistics

    As statistics and data sets have become more complex, [a] [b] questions have arisen regarding the validity of models and the inferences drawn from them. There is a wide range of conflicting opinions on modelling. Models can be based on scientific theory or ad hoc data analysis, each employing different methods. Advocates exist for each approach ...

  9. Reaching definition - Wikipedia

    en.wikipedia.org/wiki/Reaching_definition

    Reaching definition. In compiler theory, a reaching definition for a given instruction is an earlier instruction whose target variable can reach (be assigned to) the given one without an intervening assignment. For example, in the following code: d1 : y := 3. d2 : x := y. d1 is a reaching definition for d2. In the following, example, however: