### Table and FeedBelt in a state prior to the start of the CO action.

### Table 1. The relation RABC stating prior knowledge about the possible combina- tions of attribute values

"... In PAGE 3: ... Thus the underlying domain of our example is the Cartesian product dom(A) dom(B) dom(C) or, as we will write as an abbreviation, the three-dimensional space fA; B; Cg. Table1 states prior knowledge about the possible combinations of at- tribute values in the form of a relation RABC: only the value combinations contained in RABC are possible. (This relation is to be interpreted under the closed world assumption, i.... ..."

### Table I compares the performance of the proposed VCO with prior state-of-the-art designs. The first two designs, by Sidiropoulos [2] and Ingino [3], are examples of the regulated VCOs, whereas the designs by Kaenel [5] and Ahn [10] are examples of

2003

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### Table 22. Number and percent distribution of office visits by physician specialty, according to referral status and prior-visit status: United States, 1996

1997

### Table 4.1: Class conditional priors over mouth selections. Each column represents one of the states from VQ 3. The rows show, for each class, the prior probability of selecting each state from VQ 3. The images displayed are the mean of each state, masked (multiplied) by the prior probability of each pixel selecting VQ 3.

### Table 4 Probability of the ve observable CGH states in a viable cell prior to selection into a tumor. Note that x = 1 ? x.

"... In PAGE 10: ...ig. 3. Intensity function (x). Here h = ?log( )=c where is interpreted as the linkage probability. With this simple 2-parameter formulation we can calculate the prob- ability of the ve basic states, at least for a viable cell prior to selection into a tumor ( Table4 ). For example, the state S1 of no loss can happen either if there is linkage, and the deletion coin comes up tails, or if there is no linkage and the deletion coin comes up tails twice, giving probability + 2.... In PAGE 11: ... We use a = 0 + 2( 1 ? 0), b = 0 + ( 1 ? 0), and u, v, and w as de ned in the text. P(SELjSi) for given normal genotype State Si (?; ?) (+; ?) (?; +) (+,+) S1 0 a a u S2 0 b b w S3 0 b a v S4 0 a b v S5 0 b b w with Table4 holding probabilities P(SijVI). Our assumptions about loss and retention of suppression determine the second factor, tabulated in Ta- ble 5.... In PAGE 12: ...1). By Bayes rule, these probabilities are formed simply by normalizing the product of entries in Table4 times those in Table 5. Introducing = b =[b + a ] gt; , we uncover a fascinating result, at least for the rst three genotype classes.... ..."

### Table 8. Number and percent of elderly home health care discharges 65 years and over who received services during the 30 days prior to discharge: United States, 1993

1996

### Table 2. Monte Carlo simulation results for steady state example. Case (a): perfect prior; Case (b): prior estimated from 500 external data points; Case (c): empirical prior; Case (d): uniform prior

"... In PAGE 24: ... To illustrate the performance of the Bayesian algorithms, a Monte Carlo simulation of 100 realizations is performed assuming a model dimension of 2. The results of this simulation are summarized in Table2 , which lists the output training and testing errors, the input training and testing errors, as well as the model parameters, 1 a and 2 a mean square errors all with respect to their noise-free values. These results show the benefits of the Bayesian algorithms in prediction as well as model parameter estimation.... In PAGE 25: ...stimates for models of rank greater than two. This is confirmed by Nounou et al. (2001) for Bayesian Principal Component Analysis (BPCA). The results reported in Table2 also show that the OLS output testing error is even less than that of PCR and PLS. However, the relative performance of the various techniques is known to be a function of the ratio ( ) p n , where n is the number of observations and p is the number of variables (Wold, 1982).... In PAGE 26: ...The results listed in Table2 were obtained under the assumption that the actual model rank of 2 is known. To estimate the optimum model dimension for both algorithms, cross validation is used, and the results are shown in Figure 3.... ..."

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### Table 4: Parameter estimates multivariate model (United States; 1971Q2:2003Q4)a Prior

2005