Fit a model of the form log(µ) = α + βx, where x = 0 for treatment A and x = 1 for treatment B then Show that β = log(µB/µA) and interpret your estimate of β obtained. An experiment analyzes imperfection rates for two processes used to fabricate siliconwafers for computer chips. For treatment A applied to 10 wafers, the number ofimperfections is 8, 7, 6, 6, 3, 4, 7, 2, 3, 4. Treatment B applied to 10 other wafers has 9, 9,8, 14, 8, 13, 11, 5, 7, 6 imperfections. Treat the counts as independent Poisson variateshaving means µA and µB.

An experiment analyzes imperfection rates for two processes used to fabricate silicon wafers for…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Fit a model of the form log(µ) = α + βx, where x = 0 for treatment A and x = 1 for treatment B then Show that β = log(µB/µA) and interpret your estimate of β obtained.

An experiment analyzes imperfection rates for two processes used to fabricate silicon
wafers for computer chips. For treatment A applied to 10 wafers, the number of
imperfections is 8, 7, 6, 6, 3, 4, 7, 2, 3, 4. Treatment B applied to 10 other wafers has 9, 9,
8, 14, 8, 13, 11, 5, 7, 6 imperfections. Treat the counts as independent Poisson variates
having means µA and µB.

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