Results 181 to 190 of about 680,741 (224)
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2021
This chapter moves on from simple ‘one-way’ designs to more complex factorial designs. It extends the simple linear model to include interactions as well as average main effects. Interactions are assessed relative to a null additive expectation where the treatments have no effect on each other.
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This chapter moves on from simple ‘one-way’ designs to more complex factorial designs. It extends the simple linear model to include interactions as well as average main effects. Interactions are assessed relative to a null additive expectation where the treatments have no effect on each other.
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Factory Planning and Process Design
2016In this chapter, factory planning and process design principles and models are discussed. It starts with an introductory case-study considering factory planning issues at an e-car manufacturer. At the beginning, the role of factory planning in supply chain and operations management is discussed.
Dmitry Ivanov +2 more
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Patterns of confounding in factorial designs
Biometrika, 1977SUMMARY A method is developed for identifying confounded effects in factorial designs, whether symmetrical or asymmetrical, arranged in any of the simple block structures described by Nelder (1965). The dual process gives a method of constructing factorial designs with specified patterns of confounding.
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2014
Factor-This is an independent variable for study in an experiment, and the first thing to consider in an experiment is to determine the factor or variable to be investigated. For example, let us suppose that we are interested in investigating the effect of inorganic chemicals on plant growth over the life period of the plant.
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Factor-This is an independent variable for study in an experiment, and the first thing to consider in an experiment is to determine the factor or variable to be investigated. For example, let us suppose that we are interested in investigating the effect of inorganic chemicals on plant growth over the life period of the plant.
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Factorial and reciprocal control designs
Statistics in Medicine, 1990AbstractThe basic principles of factorial designs are briefly reviewed and estimating equations for a 23 factorial design are presented in order to show how easily the basic idea of the 2 × 2 factorial design generalizes to higher dimensions. Fractional factorial designs are explained and advocated for situations in which the number of experimental ...
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Factorial-balance and the analysis of designs with factorial structure
Journal of Statistical Planning and Inference, 1981Abstract Cotter, John and Smith (1973) have given conditions for an incomplete block design to have orthogonal factorial structure. Further results on the intra-block analysis of such designs are given. The concept of balance in factorial design is discussed and results are given which enable the degree of balance in generalised cyclic designs to be ...
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The Factorial Two-Level Design and General Factorial Designs [PDF]
, 2016 Andrew Milivojevich, Thomas B. Barker
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Applied Factorial and Fractional Designs.
Applied Statistics, 1985Robert A. McLean +2 more
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Rerandomization in $2^{K}$ factorial experiments
Annals of Statistics, 2020Xinran Li, M G Herrmann
exaly