Testing Multiple Dispersion Effects in Unreplicated Fractional Factorial Designs
نویسندگان
چکیده
In unreplicated 2kp designs, the assumption of constant variance is commonly made. When the variance of the response differs between the two levels of a column in the effect matrix, that column produces a dispersion effect. In this article we show that two active dispersion effects may create a spurious dispersion effect in their interaction column. Most existing methods for dispersion-effect testing in unreplicated fractional factorial designs are subject to these spurious effects. We propose a method of dispersion-effect testing based on geometric means of residual sample variances. We show through examples from the literature and simulations that the proposed test has many desirable properties that are lacking in other tests.
منابع مشابه
Objective Methods for Analysing Unreplicated Factorial Designs
— There is not a method for analysing unreplicated factorial designs that performs well for various configurations of number and size of active effects. Moreover, the most popular tool that has been applied is informal and subjective. To overcome these drawbacks, this paper suggests a multiple testing to help practitioners making objective decisions and identifying active effects with a minimum...
متن کاملDesign and Analysis Approach for Factorials with Observable Noise Factors in Robust Design
Recent literature has proposed integrating observed noise variables into a factorial design structure as an alternative robust design strategy. Because noise factors are often difficult to control or randomize, observing their values may be useful. This research compares existing alternatives involving unreplicated fractional factorial designs and observable noise factors.
متن کاملJoint Identification of Location and Dispersion Effects in Unreplicated Two-Level Factorials
Most procedures that have been proposed to identify dispersion effects in unreplicated factorial designs assume that location effects have been identified correctly. Incorrect identification of location effects may impair subsequent identification of dispersion effects. We develop a model for joint identification of location and dispersion effects that can reliably identify active effects of bo...
متن کاملIdentification of dispersion effects in replicated two-level fractional factorial experiments
Tests for dispersion effects in replicated two-level factorial experiments assuming a location-dispersion model are presented. The tests use individual measures of dispersion which remove the location effects and also provide an estimate of pure error. Empirical critical values for two such tests are given for two-level full or regular fractional factorial designs with 8, 16, 32 and 64 runs. Th...
متن کاملA Distribution-Free Multi-Factorial Profiler for Harvesting Information from High-Density Screenings
Data screening is an indispensable phase in initiating the scientific discovery process. Fractional factorial designs offer quick and economical options for engineering highly-dense structured datasets. Maximum information content is harvested when a selected fractional factorial scheme is driven to saturation while data gathering is suppressed to no replication. A novel multi-factorial profile...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Technometrics
دوره 43 شماره
صفحات -
تاریخ انتشار 2001