نتایج جستجو برای: fractional factorial designs

تعداد نتایج: 151002  

Amene Samaei-Nouroozi Mahsa Moshfegh, Mohammad Ali Faramarzi, Mohammad Reza Khoshayand, Mohsen Amin Nika Khoshnevis Shahla Rezaei,

Owing to their superior catalytic activity in the extreme conditions, extremozymes have found the potential biotechnological applications for industrial purposes. A robust extracellular protease activity was detected in the culture broth of Salicola marasensis, an extreme halophilic bacterium, after a 48 h-incubation. The effect of different media ingredients in a liquid state fermentation was ...

2004
Kenny Q. Ye

Factorial designs have broad applications in agricultural, engineering and scientific studies. In constructing and studying properties of factorial designs, traditional design theory treats all factors as nominal. However, this is not appropriate for experiments that involve quantitative factors. For designs with quantitative factors, level permutation of one or more factors in a design matrix ...

2017
Patrick Bennett

In previous chapters we analyzed data from so-called one-way experimental designs, in which subjects were randomly assigned to groups that di↵ered on a single treatment or grouping variable. In this chapter we will analyze data from factorial experiments. Factorial experiments contain two or more experimental variables. In a completely crossed factorial experiment, each level of every variable ...

2017
Patrick Bennett

In previous chapters we analyzed data from so-called one-way experimental designs, in which subjects were randomly assigned to groups that di↵ered on a single treatment or grouping variable. In this chapter we will analyze data from factorial experiments. Factorial experiments contain two or more experimental variables. In a completely crossed factorial experiment, each level of every variable ...

Journal: :Mathematical Problems in Engineering 2022

In practical factorial experiments, we sometimes find that complete randomization of the order runs is infeasible because it more difficult to change levels some factors than others, especially in engineering experiments. Then, fractional split-plot (FFSP) designs represent a option such situations. The difficult-to-change are called whole plots (WP) factors, and other subplot (SP) factors. WP ...

Journal: :Mathematics 2022

In some experiments, the levels of factors are difficult to change; then fractional factorial split-plot (FFSP) designs suitable for selection. an FFSP design, divided into two classes—the whole plot (WP) and subplot (SP) factors. selection WP can affect that SP factors, which attracts much attention Paying more a new optimality criterion selecting such is proposed. The robustness proposed meth...

Journal: :Technometrics 2006
David C. Woods Susan M. Lewis John A. Eccleston K. G. Russell

Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables. A method is proposed for finding exact designs for such experiments which uses a criterion that allows for uncertainty in the link function, the linear predictor or the model parameters, together with...

Amene Samaei-Nouroozi Mahsa Moshfegh, Mohammad Ali Faramarzi, Mohammad Reza Khoshayand, Mohsen Amin Nika Khoshnevis Shahla Rezaei,

Owing to their superior catalytic activity in the extreme conditions, extremozymes have found the potential biotechnological applications for industrial purposes. A robust extracellular protease activity was detected in the culture broth of Salicola marasensis, an extreme halophilic bacterium, after a 48 h-incubation. The effect of different media ingredients in a liquid state fermentation was ...

2006
Heather Allore

We demonstrate how to use SAS to design experiments for multicomponent interventions for multifactorial health syndromes. Multifactorial syndromes are health conditions that have more than one risk factor related to the outcome and require interventions with several components that target different risk factors. The design and analysis of multicomponent trials are complicated by the number of f...

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