### Table 1. Poisson process results

1997

"... In PAGE 4: ...Atypical histogram of the estimate after 5000 samples for the case #16 K =0:02 and B = 1 is shown in Figure 3 and shows a general clustering around the expected value of 120 but also the presence signi#0Ccantskewness and outliers. The descriptive statis- tics for the 100 trials are shown in Table1 . The con#0Cdence intervals are based on a normal assumption but because of skewness are only a guide.... ..."

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### Table 3. Non-Poisson process results

1997

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### Table 2: 5 APPLICATION TO NON-STATIONARY POISSON PROCESSES

1998

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### Table 2.1. Parameters used in the inhomogenous Poisson process

2006

### Table 3. Some Derived Relationships for a General Poisson Process

"... In PAGE 15: ... In addition, unknown model parameters are usually determined using the maximum likelihood principle, least squares, or Bayesian techniques. Again, specific derivations are omitted; however, Table3 provides a summary of some important relationships for these models (Musa, et al., 1987).... ..."

### Table 1. Comparison of the computing time in seconds among the four estimators of the mean function, based on data generated from the Poisson process or mixed Poisson process with sample size 100 or 200

2007

"... In PAGE 7: ... However, the mean squared errors of these estimators are elevated when the Poisson process model is wrongly assumed. The computing times for the four estimators are summarized in Table1 . The non- parametric maximum pseudolikelihood estimator appears to be the least computationally demanding estimator.... ..."

### Table 2. Poisson process with H and#2For mean estimated #28#16

1997

"... In PAGE 4: ... 6.1 Results with estimated mean and H Table2 shows the results of 100 experiments each when the mean is known and H is estimated, the mean is es- timated and H is known and when both the mean and H are estimated. In estimating H is was found that al- though convergence of the LSL was fast #28the LMS, GAL, RLS algorithms were also implemented#29 the estimate of H could vary signi#0Ccantly early on.... ..."

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### Table 3.1 Percentage of wavelet packet coefficients that is different from an ideal Poisson process for the simulated system of Figure 3.2.

2003

### Table 1 : The Fixed Access Pattern We executed 14 runs of the ADR algorithm using Poisson processes with the above parameters. Each run started with a di erent initial replication scheme. The total

1997

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### Table 2: Results of the Monte-Carlo simulation studies for the regression parameter estimates based on 1000 repeated samples for data generated from the mixed Poisson process

2005

Cited by 1