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  2. James Hardie Industries - Wikipedia

    en.wikipedia.org/wiki/James_Hardie_Industries

    James Hardie Industries plc is a global building materials company and the largest global manufacturer of fibre cement products. Headquartered in Ireland, it is a dual-listed company, being listed on the Australian and New York Stock Exchanges.

  3. Fiber cement siding - Wikipedia

    en.wikipedia.org/wiki/Fiber_cement_siding

    Blue fiber cement siding HardiePanel on design-build addition, Ithaca NY. Fiber cement siding (also known as "fibre cement cladding" in the United Kingdom, "fibro" in Australia, and by the proprietary name "Hardie Plank" in the United States) is a building material used to cover the exterior of a building in both commercial and domestic applications.

  4. James Hardie (disambiguation) - Wikipedia

    en.wikipedia.org/wiki/James_Hardie_(disambiguation)

    James Hardie Industries is a building materials company specializing in fiber cement siding. James Hardie may also refer to: James Keir Hardie (1856–1915), founding member and first leader of the Labour Party in the United Kingdom; James Hardie (architect) (died 1889), American architect; James Allen Hardie (1823–1876), American soldier

  5. Siding - Wikipedia

    en.wikipedia.org/wiki/Siding

    Siding may refer to: Siding (construction), the outer covering or cladding of a house; Siding (rail), a track section; See also. All pages with titles containing siding

  6. James–Stein estimator - Wikipedia

    en.wikipedia.org/wiki/James–Stein_estimator

    The James–Stein estimator may seem at first sight to be a result of some peculiarity of the problem setting. In fact, the estimator exemplifies a very wide-ranging effect; namely, the fact that the "ordinary" or least squares estimator is often inadmissible for simultaneous estimation of several parameters.

  7. Stein's unbiased risk estimate - Wikipedia

    en.wikipedia.org/wiki/Stein's_unbiased_risk_estimate

    A standard application of SURE is to choose a parametric form for an estimator, and then optimize the values of the parameters to minimize the risk estimate. This technique has been applied in several settings. For example, a variant of the James–Stein estimator can be derived by finding the optimal shrinkage estimator. [2]

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