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where y is a T 1 vector of the dependent variable, X is a T p matrix of p regressors where the rst column consists of all ones if an intercept is present in the model. The matrix X has rank p if the regressors are not collinear. If the rank of X is de cient, the regression coef cients b1, b2, . . . , bp, which are the individual elements of the p 1 vector b, cannot be estimated. The vector u is a T 1 vector of independent and identically distributed (iid) true unknown errors with elements ut and unknown possibly nonnormal true distribution function F satis es E(u) = 0, E(uu ) = s2I; that is, they have mean zero and variance s2.

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You may recall that when we looked at on-board video adaptors in the previous chapter we said that overall we weren t that thrilled by them and that on the whole you could get much better performance from a separate video adaptor card costing not much more than $30 or so. However, it seems that on-board sound capability is generally of better quality than its video counterpart. This is due in part to the fact that sound card technology is simpler than video technology. (Put simply it s easier to create a sound processor and output system than it is a video adaptor.) However, another important reason is that, overall, there is less stress and demand placed on the sound system, and thus lower-performance and lower-quality devices are still capable of performing acceptably. Because of this, many people, including those who use their PC for gaming and playing videos or DVDs, might find the sound system provided by the motherboard to be adequate for their needs. However, sound generated by on-board systems will never be as good as what you will get with a separate, dedicated, sound card.

C is a given positive real value. It is the average cycle time that we want to obtain. (m0) is the average cycle time obtained from the marking m0. tY = (y1, ..., y|P|) (IR+)|P| is a P-semi-flow.

70 610.518 69.9242504 36 Kr 76 654.235 75.9259483 71 617.934 70.9249540 72 628.685 71.9220762 73 635.468 72.9234594 74 645.665 73.9211782 75 652.17 74.9228595 76 661.598 75.9214027 77 667.671 76.9235485 33 As 73 634.345 72.9238253 74 642.32 73.9239291 75 652.564 74.9215964 76 659.892 75.9223939 77 669.59 76.9206477 37 Rb 83 720.045 82.9151120 84 728.794 83.9143847 85 739.283 84.9117893 86 747.934 85.9111671 87 757.853 86.9091835 88 763.936 87.9113186

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ligand orbital from the metal d orbitals and the intrinsic interaction matrix element, which is approximately proportional to the overlap of the two orbitals and the average of their energies [eg, equation (344)] Judging from Figure 132 and parametrizations of extended Huckel theory [279], the energies of the d orbitals are similar to the 2p orbital energies of C, N, and O Hence the principal factor governing the magnitude of hAB , and therefore he L and h, will be the overlap Overlap of orbitals decreases with increasing numbers of nodes and mismatch of sizes For both reasons, both s- and ptype overlap between d orbitals and the orbitals of the rst-row elements will be smaller than equivalent overlaps between the rst-row elements themselves As a consequence, one expects smaller he L and h and weaker bond dissociation energies.

In the octahedral environment, h will be related to h O , the spectroscopically derived octahedral crystal eld-splitting parameter [280] One can gain some insight into the variation of hAB as a function of ligand type and metal by noting how these factors a ect h O Ligands may be ranked according to their e ect on h O Thus h O increases in the series: I ` Br ` Cl ` F ` OH ` H2 O ` NH3 ` en ` PPh3 ` CN ` CO [280] The halogens have the weakest e ect on h O while CO has the greatest e ect, probably because the ``nonbonded'' orbitals are lowered by in-phase interaction with the pCO Another e ect of ligands, which is also attributed to overlap, namely the trans e ect, may be a measure of h (and of hAB ) (Figure 133).

(1.53)

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