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  2. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    Functions of a single variable (such as sine and cosine) may be implemented by a simple array. Functions involving two or more variables require multidimensional array indexing techniques. The latter case may thus employ a two-dimensional array of power[x][y] to replace a function to calculate x y for a limited range of x and y values ...

  3. Index-matching material - Wikipedia

    en.wikipedia.org/wiki/Index-matching_material

    Typical oils used have an index of refraction around 1.515. [2] An oil immersion objective is an objective lens specially designed to be used in this way. The index of the oil is typically chosen to match the index of the microscope lens glass, and of the cover slip. For more details, see the main article, oil immersion.

  4. Raising and lowering indices - Wikipedia

    en.wikipedia.org/wiki/Raising_and_lowering_indices

    This process is called raising the index. Raising and then lowering the same index (or conversely) are inverse operations, which is reflected in the metric and inverse metric tensors being inverse to each other (as is suggested by the terminology): = = =

  5. Image subtraction - Wikipedia

    en.wikipedia.org/wiki/Image_subtraction

    This is commonly used in fields such as time-domain astronomy (known primarily as difference imaging) to find objects that fluctuate in brightness or move. In automated searches for asteroids or Kuiper belt objects , the target moves and will be in one place in one image, and in another place in a reference image made an hour or day later.

  6. Matching (statistics) - Wikipedia

    en.wikipedia.org/wiki/Matching_(statistics)

    In particular cases, simpler tests like paired difference test, McNemar test and Cochran–Mantel–Haenszel test are available. When the outcome of interest is continuous, estimation of the average treatment effect is performed. Matching can also be used to "pre-process" a sample before analysis via another technique, such as regression ...

  7. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    Difference-in-differences matching (kernel and local linear weights) Exact matching; 3. Check that covariates are balanced across treatment and comparison groups within strata of the propensity score. Use standardized differences or graphs to examine distributions; If covariates are not balanced, return to steps 1 or 2 and modify the procedure; 4.

  8. Object–relational impedance mismatch - Wikipedia

    en.wikipedia.org/wiki/Object–relational...

    Object–relational impedance mismatch is a set of difficulties going between data in relational data stores and data in domain-driven object models. Relational Database Management Systems (RDBMS) is the standard method for storing data in a dedicated database, while object-oriented (OO) programming is the default method for business-centric design in programming languages.

  9. Two-way analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Two-way_analysis_of_variance

    In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between them.