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مقاله‌ی دسترسی آزاد

D-Optimal and D-Efficient Equivalent-Estimation Second-Order Split-Plot Designs

HarrisonMacharia, PeterGoos

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اسناد مشابه

  • Searching for D-efficient Equivalent-Estimation Second-Order Split-Plot Designs

    سند علمی۲۰۱۴Nam-Ky Nguyen, Tung-Dinh Pham

    Several industrial experiments are set up using second-order splitplot designs (SPDs). These experiments have two types of factors: whole-plot (WP) factors and sub-plot (SP) factors. WP factors, also called hard-to-change factors are factors whose levels are hard or expensive to

  • Searching for D-Efficient Equivalent-Estimation Second-Order Split-Plot Designs

    مقاله‌ی دسترسی آزاد۲۰۱۵Journal of Quality TechnologyNam-KyNguyen, Tung-DinhPham

  • An Algorithm for Finding D-e cient Equivalent-Estimation Second-Order Split-Plot Designs

    سند علمی۲۰۱۱Bradley Jones, Peter Goos

    Many industrial experiments involve restricted rather than complete randomization. This often leads to the use of split-plot designs, which limit the number of independent settings of some of the experimental factors. These factors, named whole-plot factors, are often, in some wa

  • Unbalanced and Minimal Point Equivalent Estimation Second-Order Split-Plot Designs

    سند علمی۲۰۰۵Peter A. Parker, Scott M. Kowalski, Geoffrey Vining

    Restricting the randomization of hard-to-change factors in industrial experiments is often performed by employing a split-plot design structure. From an economic perspective, these designs minimize the experimental cost by reducing the number of resets of the hard-tochange factor

  • Optimal Fractional Factorial Split-plot Designs for Model Selection

    سند علمی۲۰۰۹Richard Lockhart, Jason Loeppky, Ryan Lekivetz, Chunfang Lin

    Fractional factorial designs are used widely in screening experiments to identify significant effects. It is not always possible to perform the trials in a complete random order and hence, fractional factorial split-plot designs arise. In order to identify optimal fractional fact

  • A candidate-set-free algorithm for generating D-optimal split-plot designs

    سند علمی۲۰۰۷Journal of the Royal Statistical Society. Series C, Applied statisticsBradley Jones, Peter Goos

    We introduce a new method for generating optimal split-plot designs. These designs are optimal in the sense that they are efficient for estimating the fixed effects of the statistical model that is appropriate given the split-plot design structure. One advantage of the method is