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  2. Instrumental variables estimation - Wikipedia

    en.wikipedia.org/wiki/Instrumental_variables...

    These conditions do not rely on specific functional form of the equations and are applicable therefore to nonlinear equations, where U can be non-additive (see Non-parametric analysis). They are also applicable to a system of multiple equations, in which X (and other factors) affect Y through several intermediate

  3. State-transition table - Wikipedia

    en.wikipedia.org/wiki/State-transition_table

    State-transition tables are typically two-dimensional tables. There are two common ways for arranging them. In the first way, one of the dimensions indicates current states, while the other indicates inputs. The row/column intersections indicate next states and (optionally) outputs associated with the state transitions.

  4. Data definition language - Wikipedia

    en.wikipedia.org/wiki/Data_definition_language

    The DROP statement destroys an existing database, table, index, or view. A DROP statement in SQL removes a component from a relational database management system (RDBMS). The types of objects that can be dropped depends on which RDBMS is being used, but most support the dropping of tables, users, and databases.

  5. State diagram - Wikipedia

    en.wikipedia.org/wiki/State_diagram

    A classic form of state diagram for a finite automaton (FA) is a directed graph with the following elements (Q, Σ, Z, δ, q 0, F): [2] [3] Vertices Q: a finite set of states, normally represented by circles and labeled with unique designator symbols or words written inside them; Input symbols Σ: a finite collection of input symbols or designators

  6. Shewhart individuals control chart - Wikipedia

    en.wikipedia.org/wiki/Shewhart_individuals...

    The normal distribution is NOT assumed nor required in the calculation of control limits. Thus making the IndX/mR chart a very robust tool. This is demonstrated by Wheeler using real-world data [4], [5] and for a number of highly non-normal probability distributions.

  7. Causal graph - Wikipedia

    en.wikipedia.org/wiki/Causal_graph

    In statistics, econometrics, epidemiology, genetics and related disciplines, causal graphs (also known as path diagrams, causal Bayesian networks or DAGs) are probabilistic graphical models used to encode assumptions about the data-generating process. Causal graphs can be used for communication and for inference.

  8. Drag and drop - Wikipedia

    en.wikipedia.org/wiki/Drag_and_drop

    Drag and drop is considered an important program construction approach in many end-user development systems. In contrast to more traditional, text-based programming languages, many end-user programming languages are based on visual components such as tiles or icons that are manipulated by end users through drag-and-drop interfaces.

  9. Data-flow diagram - Wikipedia

    en.wikipedia.org/wiki/Data-flow_diagram

    Data flow diagram with data storage, data flows, function and interface. A data-flow diagram is a way of representing a flow of data through a process or a system (usually an information system). The DFD also provides information about the outputs and inputs of each entity and the process itself.