### Table 2: Parameters of a t of two Gaussians to the z-vertex resolution distributions and RMS in the exclusive channel for the cases (1) { (3) and the impact parameter method

"... In PAGE 8: ...(1) one randomly selected secondary track (2) two randomly selected secondary tracks (3) all secondary tracks to a common vertex. Table2 lists the results of these cases. The parameters are again the ones of a t of a sum of two Gaussians to the distributions (width of the narrow and the wider Gaussian n and w, fraction of the narrow Gaussian fn).... ..."

### Table 1: Two-Gaussian- ts to the z-resolution distribution of the CP-channels in comparision with the values of the TDR [8]

### TABLE 1: Comparison of Exact and DSD-Determined Parameters for a Synthesized Time Signal Consisting of a Sum of Exponentially Decaying Oscillations, with Known Frequencies, Amplitudes, Phases, and Damping Constantsa

### Table 1. Gaussian ts to the distributions.

279

"... In PAGE 2: ... The full curve is a poly- nomial t to these points. The full points show the modal values from Table1 . The dotted curve shows the values of MV given in Schaifers amp; Voigt (1982).... In PAGE 3: ... In Figure 4 smooth curves show the Gaussians that best t the histograms of the Malmquist-corrected data. Table1 lists the mean absolute magnitude and the dispersion about it for each spectral class that one infers from these Gaussians and the polynomial t to the median magnitude that is shown in Figure 3. All the well-determined histograms of Figure 4 are signi cantly skew, having a longer tails on the bright... In PAGE 4: ... Figure 6 also shows Gaussian ts to the full his- tograms. These ts have been used to derive the parameters of the colour distributions at xed spec- tral type that are listed in Table1 . Since the colours we are using are from the literature rather than from Hipparcos, a signi cant portion of the dispersions (B ? V ) 0:03 mag will come from observational scatter.... ..."

### Table 1: Confusion Matrix

"... In PAGE 4: ...Data Error Assumption Image Processing Images Uniform random Gaussian Distribution Analysis Histograms Poisson sampling statistics Shape Analysis Edge location Gaussian perpendicular to edge 2D Geometrical Location Line fits Uniform Gaussian on end-points Object Tracking Corner features Circular (Elliptical) Gaussian 3D Objection Location Stereo data Gaussian in disparity space Table1 : Standard error model assumptions. 2 Technology and Scenario Evaluation There are several common models for statistical data analysis, all of which can be related at some stage to the principle of maximum likelihood (appendix A).... ..."

### Table 4: ARMA(2,3) Covariance Matrix using the Non-Gaussian Parameter Estima- tion Process

1996

"... In PAGE 9: ... This con rms the anticipated results exhibited by equation 30 and 31 which matches the simulated parameter values under the two di erent assumptions. Table4 provides the covariance matrix which indicates the interrelationships of the parameters under the power distribution assumption.... ..."

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### Table 4: ARMA#282,3#29 Covariance Matrix using the Non-Gaussian Parameter Estima-

1996

"... In PAGE 9: ... This con#0Crms the anticipated results exhibited by equation 30 and 31 which matches the simulated parameter values under the two di#0Berent assumptions. Table4 provides the covariance matrix which indicates the interrelationships of the parameters under the power distribution assumption.... ..."

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### Table 1: Channel parameters used throughout this paper.

1997

"... In PAGE 4: ...25 to 1. The rms delay-spread is taken to be the standard deviation of the Gaussian distribution before trunca- tion for path delays (see Table1 ). In each experiment, a chan- nel is first randomly generated according to Table 1.... ..."

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### Table 2. Distribution of ionic channels

1998

"... In PAGE 15: ...0663 z ~@Ca21#i/ @Ca21#i,max!# z ~V 2 VK!, (A9) where Gion,max is the maximum value for the corresponding kind of ionic conductances: Na1,K1,Ca21, A-type, Ca21-dependent K1, and fast Ca21-dependent K1. Their values are given in Material and Methods and in Table2 . m, n, s, r, a, b, and c are voltage-dependent variables, and q isaCa21-dependent state variable of activation and inactivation of the corresponding con- ductances.... In PAGE 15: ... Their dynamics were given by the differential equation: di/dt 5 ai z ~1 2 i! 2 bi z i, (A10) with the same rate constants ai and bi for m, h, n, s, r, q, and c as in Pongracz et al. (1992) ( Table2 ) and Traub et al. (1991) (Tables 1, 2) for a and b.... ..."

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### Table 1. Non-Gaussian Noise Distributions

2000

"... In PAGE 3: ... There are several well known non-Gaussian noise dis- tributions [4, 6] satisfying Theorem 3. These distributions are listed in Table1 , where again ?(:) is the Gamma func- tion, a is a scale parameter related to the common variance 2 of the quadrature components, and is a shape param- eter ruling the rate of decay of the noise pdf. The general- ized Cauchy reduces to the Gaussian distribution in the case ! 1.... ..."

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