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  2. Hexagonal lattice - Wikipedia

    en.wikipedia.org/wiki/Hexagonal_lattice

    Honeycomb point set as a hexagonal lattice with a two-atom basis. The gray rhombus is a primitive cell. Vectors and are primitive translation vectors.. The honeycomb point set is a special case of the hexagonal lattice with a two-atom basis. [1]

  3. Guide number - Wikipedia

    en.wikipedia.org/wiki/Guide_number

    Such coverage angles may be given in degrees but are often expressed as being equivalent to lens focal lengths for full-frame, 35 mm cameras. Manufacturers' advertising practices vary as to the angle of coverage underlying their guide number ratings, in large part because some flash devices can be zoomed whereas others are fixed.

  4. Coverage probability - Wikipedia

    en.wikipedia.org/wiki/Coverage_probability

    By contrast, the (true) coverage probability is the actual probability that the interval contains the parameter. If all assumptions used in deriving a confidence interval are met, the nominal coverage probability will equal the coverage probability (termed "true" or "actual" coverage probability for emphasis).

  5. Confidence and prediction bands - Wikipedia

    en.wikipedia.org/wiki/Confidence_and_prediction...

    Confidence bands can be constructed around estimates of the empirical distribution function.Simple theory allows the construction of point-wise confidence intervals, but it is also possible to construct a simultaneous confidence band for the cumulative distribution function as a whole by inverting the Kolmogorov-Smirnov test, or by using non-parametric likelihood methods.

  6. Binomial proportion confidence interval - Wikipedia

    en.wikipedia.org/wiki/Binomial_proportion...

    The Clopper–Pearson interval is an early and very common method for calculating binomial confidence intervals. [11] This is often called an 'exact' method, as it attains the nominal coverage level in an exact sense, meaning that the coverage level is never less than the nominal . [2]

  7. Maximum coverage problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_coverage_problem

    The maximum coverage problem is a classical question in computer science, computational complexity theory, and operations research. It is a problem that is widely taught in approximation algorithms. As input you are given several sets and a number . The sets may have some elements in common.

  8. Pixel aspect ratio - Wikipedia

    en.wikipedia.org/wiki/Pixel_aspect_ratio

    The ratio of the width to the height of an image is known as the aspect ratio, or more precisely the display aspect ratio (DAR) – the aspect ratio of the image as displayed; for TV, DAR was traditionally 4:3 (a.k.a. fullscreen), with 16:9 (a.k.a. widescreen) now the standard for HDTV.

  9. Coverage data - Wikipedia

    en.wikipedia.org/wiki/Coverage_data

    An abstract coverage consists of the following components: coverage domain: the extent where valid values are available; range set: the set of values ("pixels", "voxels") the coverage consists of, together with their locations; range type: a type definition of the range set values; metadata: a slot where any kind of metadata can be added

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