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The beeper consists of a metal disc glued to a piece of piezoelectric crystal. Piezo crystals are amazing things. They are naturally found crystals that flex when voltage is applied to them. Turn off the voltage, and the crystal flexes back to its original shape. Pulse the crystal with voltage fast enough, and it generates sound. Pulse it 440 times a second, and it will generate a 440 Hz tone (A440, the musical note A above middle C). The sound is generated just like with any speaker, by moving air back and forth. Since the mass that a piezo can move is small, piezos are better at reproducing higher frequency sounds than lower frequency ones. The metal disc on the piezo beeper in Roomba is the mass used to push air and make noise. Piezo speakers are also used as the tweeters in some audio speakers. The piezo crystals can also be used in the opposite way. If you flex or squeeze a piezo (from the greek piezein, to squeeze or press ), it will generate electricity, up to thousands of volts in fact. But don t worry; the amount of current it can generate is tiny, so it can t harm you. It may



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Figure 9.23 Structure of optical ber consisting of a central core and a peripheral transparent cladding surrounded by protective packaging.





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Nor does it usually provide the best estimates, in the sense of having the smallest possible standard errors, and hence it is not discussed further (see Bollen, 1989, for further discussion of ULS) Maximum likelihood (ML) is usually the default method in most programs because it yields the most precise (smallest variance) estimates when the data are normal Generalized least squares (GLS) has the same optimal properties as ML under normality When the data are symmetrically but not normally distributed, an option is elliptical distribution theory (EDT; Bentler, 1990; Shapiro & Browne, 1987), which allows different variables to be nonnormal but symmetric in different ways Another option in EQS is heterogeneous kurtosis (HK) theory (Kano, Berkane, & Bentler, 1990), which allows different variables to be nonnormal but symmetric in different ways.

We are interested in the values for the estimates b0 and b1 , so setting equations (2.3) equal to zero, we have

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The asymptotically distribution free (ADF) method has no distributional assumptions and hence is most general (Browne, 1984), but it is impractical with many variables and inaccurate without very large sample sizes Satorra and Bentler (1988, 1994, in press) and Satorra (2000) have also developed an adjustment for nonnormality that can be applied to the ML, GLS, EDT or HK chi-square test statistics Brie y, the Satorra-Bentler scaled 2 is a Bartlett-type correction to the chi-square test statistic EQS also corrects the standard errors for parameter estimates to adjust for the extent of nonnormality (Bentler & Dijkstra, 1985) The performance of the chi-square test statistic derived from these different estimation procedures is affected by several factors, among them (a) sample size; (b) nonnormality of the distribution of errors, factors, and errors and factors; and (c) violation of the assumption of independence of factors and errors.

(b) (a)

Fig. 3.3 The amount of swimming activity of shanny that have been moved to a tide-free environment. Arrows indicate positions of high tides in the natural environment of the sh. (From Morgan, E. & Cordiner, S. (1994) Entrainment of circa-tidal rhythm in the rockpool blenny Lipophrys pholis by simulated wave action. Animal Behaviour, 47, 663 9. Reproduced with permission of Elsevier.)

l 1 0 0 1 1 2

The goal is to select an estimation procedure that, in Monte Carlo studies, produces a test statistic that neither rejects nor accepts the true model too many times Several.

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