| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Diagonal |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Residual |
| Dimensions | |
|---|---|
| Covariance Parameters | 1 |
| Columns in X | 2 |
| Columns in Z | 0 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Covariance Parameter Estimates | ||||
|---|---|---|---|---|
| Cov Parm | Estimate | Alpha | Lower | Upper |
| Residual | 4.3428 | 0.05 | 3.7986 | 5.0136 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1722.6 |
| AIC (smaller is better) | 1728.6 |
| AICC (smaller is better) | 1728.6 |
| BIC (smaller is better) | 1740.5 |
| Solution for Fixed Effects | |||||
|---|---|---|---|---|---|
| Effect | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.5639 | 0.1042 | 398 | 53.40 | <.0001 |
| cprice | 0.09871 | 0.05279 | 398 | 1.87 | 0.0622 |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 398 | 3.50 | 0.0622 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Diagonal |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Residual |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| Dimensions | |
|---|---|
| Covariance Parameters | 1 |
| Columns in X | 3 |
| Columns in Z | 0 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Covariance Parameter Estimates | ||||
|---|---|---|---|---|
| Cov Parm | Estimate | Alpha | Lower | Upper |
| Residual | 4.3617 | 0.05 | 3.8151 | 5.0354 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1724.3 |
| AIC (smaller is better) | 1730.3 |
| AICC (smaller is better) | 1730.4 |
| BIC (smaller is better) | 1742.3 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.4227 | 0.1499 | 398 | 36.16 | <.0001 | |
| color | 1 | 0.2763 | 0.2089 | 398 | 1.32 | 0.1867 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| color | 1 | 398 | 1.75 | 0.1867 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Diagonal |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Residual |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| Dimensions | |
|---|---|
| Covariance Parameters | 1 |
| Columns in X | 7 |
| Columns in Z | 0 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Covariance Parameter Estimates | ||||
|---|---|---|---|---|
| Cov Parm | Estimate | Alpha | Lower | Upper |
| Residual | 4.3569 | 0.05 | 3.8110 | 5.0299 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1723.9 |
| AIC (smaller is better) | 1733.9 |
| AICC (smaller is better) | 1734.0 |
| BIC (smaller is better) | 1753.8 |
| Solution for Fixed Effects | |||||||
|---|---|---|---|---|---|---|---|
| Effect | color | type | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.5146 | 0.2057 | 396 | 26.81 | <.0001 | ||
| color | 1 | 0.1997 | 0.2895 | 396 | 0.69 | 0.4906 | |
| color | 2 | 0 | . | . | . | . | |
| type(color) | 1 | 1 | -0.03112 | 0.2909 | 396 | -0.11 | 0.9149 |
| type(color) | 1 | 2 | 0 | . | . | . | . |
| type(color) | 2 | 1 | -0.1959 | 0.3003 | 396 | -0.65 | 0.5146 |
| type(color) | 2 | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| color | 1 | 396 | 1.82 | 0.1780 |
| type(color) | 2 | 396 | 0.22 | 0.8039 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Diagonal |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Residual |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| Dimensions | |
|---|---|
| Covariance Parameters | 1 |
| Columns in X | 4 |
| Columns in Z | 0 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Covariance Parameter Estimates | ||||
|---|---|---|---|---|
| Cov Parm | Estimate | Alpha | Lower | Upper |
| Residual | 4.2937 | 0.05 | 3.7557 | 4.9569 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1718.0 |
| AIC (smaller is better) | 1726.0 |
| AICC (smaller is better) | 1726.1 |
| BIC (smaller is better) | 1742.0 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.3192 | 0.1543 | 397 | 34.46 | <.0001 | |
| cprice | 0.1413 | 0.05614 | 397 | 2.52 | 0.0122 | |
| color | 1 | 0.4741 | 0.2217 | 397 | 2.14 | 0.0331 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 397 | 6.33 | 0.0122 |
| color | 1 | 397 | 4.57 | 0.0331 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Diagonal |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Residual |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| Dimensions | |
|---|---|
| Covariance Parameters | 1 |
| Columns in X | 8 |
| Columns in Z | 0 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Covariance Parameter Estimates | ||||
|---|---|---|---|---|
| Cov Parm | Estimate | Alpha | Lower | Upper |
| Residual | 4.2641 | 0.05 | 3.7297 | 4.9227 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1715.2 |
| AIC (smaller is better) | 1727.2 |
| AICC (smaller is better) | 1727.5 |
| BIC (smaller is better) | 1751.2 |
| Solution for Fixed Effects | |||||||
|---|---|---|---|---|---|---|---|
| Effect | color | type | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.0450 | 0.2583 | 395 | 19.53 | <.0001 | ||
| cprice | 0.2217 | 0.07511 | 395 | 2.95 | 0.0034 | ||
| color | 1 | 1.0234 | 0.3999 | 395 | 2.56 | 0.0109 | |
| color | 2 | 0 | . | . | . | . | |
| type(color) | 1 | 1 | -0.4513 | 0.3211 | 395 | -1.41 | 0.1606 |
| type(color) | 1 | 2 | 0 | . | . | . | . |
| type(color) | 2 | 1 | 0.4592 | 0.3708 | 395 | 1.24 | 0.2163 |
| type(color) | 2 | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 395 | 8.71 | 0.0034 |
| color | 1 | 395 | 6.19 | 0.0133 |
| type(color) | 2 | 395 | 1.39 | 0.2502 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 2 |
| Columns in X | 4 |
| Columns in Z | 20 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1718.01261199 | |
| 1 | 2 | 1709.22242541 | 0.00000001 |
| 2 | 1 | 1709.22241984 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| brand(color*type) | 0.2620 | 0.1462 | 1.79 | 0.0365 | 0.05 | 0.1114 | 1.1816 |
| Residual | 4.0292 | 0.2922 | 13.79 | <.0001 | 0.05 | 3.5127 | 4.6693 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1709.2 |
| AIC (smaller is better) | 1719.2 |
| AICC (smaller is better) | 1719.4 |
| BIC (smaller is better) | 1724.2 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.3167 | 0.2239 | 21.2 | 23.75 | <.0001 | |
| cprice | 0.1420 | 0.08226 | 20.5 | 1.73 | 0.0994 | |
| color | 1 | 0.4625 | 0.3234 | 20.8 | 1.43 | 0.1676 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 20.5 | 2.98 | 0.0994 |
| color | 1 | 20.8 | 2.05 | 0.1676 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Unstructured |
| Subject Effect | brand(color*type) |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 2 |
| Columns in X | 4 |
| Columns in Z Per Subject | 1 |
| Subjects | 20 |
| Max Obs Per Subject | 23 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1718.01261199 | |
| 1 | 2 | 1709.22242541 | 0.00000001 |
| 2 | 1 | 1709.22241984 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | ||||||||
|---|---|---|---|---|---|---|---|---|
| Cov Parm | Subject | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| UN(1,1) | brand(color*type) | 0.2620 | 0.1462 | 1.79 | 0.0365 | 0.05 | 0.1114 | 1.1816 |
| Residual | 4.0292 | 0.2922 | 13.79 | <.0001 | 0.05 | 3.5127 | 4.6693 | |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1709.2 |
| AIC (smaller is better) | 1719.2 |
| AICC (smaller is better) | 1719.4 |
| BIC (smaller is better) | 1724.2 |
| Null Model Likelihood Ratio Test | ||
|---|---|---|
| DF | Chi-Square | Pr > ChiSq |
| 1 | 8.79 | 0.0030 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.3167 | 0.2239 | 21.2 | 23.75 | <.0001 | |
| cprice | 0.1420 | 0.08226 | 20.5 | 1.73 | 0.0994 | |
| color | 1 | 0.4625 | 0.3234 | 20.8 | 1.43 | 0.1676 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 20.5 | 2.98 | 0.0994 |
| color | 1 | 20.8 | 2.05 | 0.1676 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| rater | 23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
| Dimensions | |
|---|---|
| Covariance Parameters | 2 |
| Columns in X | 4 |
| Columns in Z | 23 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1718.01261199 | |
| 1 | 3 | 1693.91665798 | 0.00000297 |
| 2 | 1 | 1693.91521140 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| rater | 0.4964 | 0.2082 | 2.38 | 0.0085 | 0.05 | 0.2515 | 1.3998 |
| Residual | 3.7783 | 0.2748 | 13.75 | <.0001 | 0.05 | 3.2927 | 4.3805 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1693.9 |
| AIC (smaller is better) | 1703.9 |
| AICC (smaller is better) | 1704.1 |
| BIC (smaller is better) | 1709.6 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.2991 | 0.2086 | 44.3 | 25.40 | <.0001 | |
| cprice | 0.1437 | 0.05276 | 380 | 2.72 | 0.0067 | |
| color | 1 | 0.5097 | 0.2104 | 387 | 2.42 | 0.0159 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 380 | 7.42 | 0.0067 |
| color | 1 | 387 | 5.87 | 0.0159 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| rater | 23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 3 |
| Columns in X | 4 |
| Columns in Z | 43 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1718.01261199 | |
| 1 | 2 | 1680.33289700 | 0.00000266 |
| 2 | 1 | 1680.33162213 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| rater | 0.5280 | 0.2131 | 2.48 | 0.0066 | 0.05 | 0.2732 | 1.4188 |
| brand(color*type) | 0.3066 | 0.1524 | 2.01 | 0.0221 | 0.05 | 0.1404 | 1.1141 |
| Residual | 3.4555 | 0.2580 | 13.39 | <.0001 | 0.05 | 3.0007 | 4.0227 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1680.3 |
| AIC (smaller is better) | 1692.3 |
| AICC (smaller is better) | 1692.5 |
| BIC (smaller is better) | 1699.1 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.2917 | 0.2749 | 32.3 | 19.25 | <.0001 | |
| cprice | 0.1442 | 0.08368 | 20.2 | 1.72 | 0.1001 | |
| color | 1 | 0.4971 | 0.3301 | 20.7 | 1.51 | 0.1472 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 20.2 | 2.97 | 0.1001 |
| color | 1 | 20.7 | 2.27 | 0.1472 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| rater | 23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 3 |
| Columns in X | 4 |
| Columns in Z | 69 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1718.01261199 | |
| 1 | 3 | 1683.89980594 | 0.00005205 |
| 2 | 1 | 1683.87371204 | 0.00000044 |
| 3 | 1 | 1683.87350364 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| rater | 0.2110 | 0.2660 | 0.79 | 0.2139 | 0.05 | 0.04660 | 55.5297 |
| color*rater | 0.6265 | 0.3330 | 1.88 | 0.0300 | 0.05 | 0.2749 | 2.5674 |
| Residual | 3.4773 | 0.2624 | 13.25 | <.0001 | 0.05 | 3.0154 | 4.0548 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1683.9 |
| AIC (smaller is better) | 1695.9 |
| AICC (smaller is better) | 1696.1 |
| BIC (smaller is better) | 1702.7 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.2562 | 0.2418 | 43.1 | 21.73 | <.0001 | |
| cprice | 0.1460 | 0.05080 | 357 | 2.87 | 0.0043 | |
| color | 1 | 0.5776 | 0.3128 | 22 | 1.85 | 0.0784 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 357 | 8.26 | 0.0043 |
| color | 1 | 22 | 3.41 | 0.0784 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| rater | 23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 4 |
| Columns in X | 4 |
| Columns in Z | 89 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1718.01261199 | |
| 1 | 3 | 1667.05862403 | 0.00018411 |
| 2 | 2 | 1666.96531356 | 0.00000418 |
| 3 | 1 | 1666.96333203 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| rater | 0.2154 | 0.2732 | 0.79 | 0.2152 | 0.05 | 0.04733 | 60.1838 |
| color*rater | 0.6925 | 0.3405 | 2.03 | 0.0210 | 0.05 | 0.3193 | 2.4709 |
| brand(color*type) | 0.3274 | 0.1545 | 2.12 | 0.0170 | 0.05 | 0.1548 | 1.0928 |
| Residual | 3.1149 | 0.2414 | 12.90 | <.0001 | 0.05 | 2.6910 | 3.6479 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1667.0 |
| AIC (smaller is better) | 1681.0 |
| AICC (smaller is better) | 1681.2 |
| BIC (smaller is better) | 1688.9 |
| Solution for Fixed Effects | ||||||
|---|---|---|---|---|---|---|
| Effect | color | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.2430 | 0.3072 | 40.1 | 17.06 | <.0001 | |
| cprice | 0.1461 | 0.08410 | 20 | 1.74 | 0.0976 | |
| color | 1 | 0.5701 | 0.4155 | 28 | 1.37 | 0.1809 |
| color | 2 | 0 | . | . | . | . |
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| cprice | 1 | 20 | 3.02 | 0.0976 |
| color | 1 | 28 | 1.88 | 0.1809 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| rater | 23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 3 |
| Columns in X | 1 |
| Columns in Z | 43 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1726.04108631 | |
| 1 | 2 | 1683.94072181 | 0.00000330 |
| 2 | 1 | 1683.93912963 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| rater | 0.5270 | 0.2130 | 2.47 | 0.0067 | 0.05 | 0.2725 | 1.4182 |
| brand(color*type) | 0.4008 | 0.1825 | 2.20 | 0.0141 | 0.05 | 0.1936 | 1.2674 |
| Residual | 3.4569 | 0.2582 | 13.39 | <.0001 | 0.05 | 3.0018 | 4.0245 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1683.9 |
| AIC (smaller is better) | 1691.9 |
| AICC (smaller is better) | 1692.0 |
| BIC (smaller is better) | 1696.5 |
| Solution for Fixed Effects | |||||
|---|---|---|---|---|---|
| Effect | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.5428 | 0.2281 | 31.1 | 24.30 | <.0001 |
| The SAS System |
| Model Information | |
|---|---|
| Data Set | WORK.TWO |
| Dependent Variable | score |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Satterthwaite |
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| color | 2 | 1 2 |
| type | 2 | 1 2 |
| rater | 23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
| brand | 20 | Anakena Atlas Peak Barbarana Dragon Barbarana Vina Allarde Bridgman Campo viejo Castillo D Cavino Columbia Crest Dallas Conte Febus Fetzer Flora Springs Maple ridge Montecillo Rabbit Ridge Santa Maria Sobon estates Steel Creek Washington Hills casa lapastolle |
| Dimensions | |
|---|---|
| Covariance Parameters | 4 |
| Columns in X | 1 |
| Columns in Z | 89 |
| Subjects | 1 |
| Max Obs Per Subject | 460 |
| Number of Observations | |
|---|---|
| Number of Observations Read | 460 |
| Number of Observations Used | 400 |
| Number of Observations Not Used | 60 |
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 1726.04108631 | |
| 1 | 3 | 1670.67560137 | 0.00017917 |
| 2 | 2 | 1670.58433538 | 0.00000420 |
| 3 | 1 | 1670.58233874 | 0.00000000 |
| Convergence criteria met. |
| Covariance Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Cov Parm | Estimate | Standard Error | Z Value | Pr > Z | Alpha | Lower | Upper |
| rater | 0.2076 | 0.2751 | 0.75 | 0.2253 | 0.05 | 0.04383 | 94.4427 |
| color*rater | 0.7045 | 0.3491 | 2.02 | 0.0218 | 0.05 | 0.3232 | 2.5459 |
| brand(color*type) | 0.4156 | 0.1843 | 2.25 | 0.0121 | 0.05 | 0.2039 | 1.2648 |
| Residual | 3.1169 | 0.2417 | 12.90 | <.0001 | 0.05 | 2.6926 | 3.6505 |
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 1670.6 |
| AIC (smaller is better) | 1680.6 |
| AICC (smaller is better) | 1680.7 |
| BIC (smaller is better) | 1686.3 |
| Solution for Fixed Effects | |||||
|---|---|---|---|---|---|
| Effect | Estimate | Standard Error | DF | t Value | Pr > |t| |
| Intercept | 5.5322 | 0.2320 | 31.8 | 23.85 | <.0001 |
| Solution for Random Effects | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Effect | brand | color | type | rater | Estimate | Std Err Pred | DF | t Value | Pr > |t| |
| rater | 1 | 0.01967 | 0.3875 | 2.4 | 0.05 | 0.9634 | |||
| rater | 2 | -0.2124 | 0.3875 | 2.4 | -0.55 | 0.6303 | |||
| rater | 3 | -0.2704 | 0.3875 | 2.4 | -0.70 | 0.5467 | |||
| rater | 4 | -0.05285 | 0.3875 | 2.4 | -0.14 | 0.9021 | |||
| rater | 5 | -0.1052 | 0.4167 | 1.72 | -0.25 | 0.8276 | |||
| rater | 6 | 0.1212 | 0.3875 | 2.4 | 0.31 | 0.7796 | |||
| rater | 7 | -0.2205 | 0.3951 | 2.17 | -0.56 | 0.6291 | |||
| rater | 8 | 0.03255 | 0.3980 | 2.09 | 0.08 | 0.9420 | |||
| rater | 9 | -0.1979 | 0.3875 | 2.4 | -0.51 | 0.6527 | |||
| rater | 10 | 0.05135 | 0.3883 | 2.38 | 0.13 | 0.9052 | |||
| rater | 11 | -0.1689 | 0.3875 | 2.4 | -0.44 | 0.6991 | |||
| rater | 12 | -0.03835 | 0.3875 | 2.4 | -0.10 | 0.9288 | |||
| rater | 13 | -0.06735 | 0.3875 | 2.4 | -0.17 | 0.8756 | |||
| rater | 14 | 0.2797 | 0.3946 | 2.19 | 0.71 | 0.5464 | |||
| rater | 15 | -0.05043 | 0.4028 | 1.97 | -0.13 | 0.9120 | |||
| rater | 16 | 0.1937 | 0.3875 | 2.4 | 0.50 | 0.6592 | |||
| rater | 17 | 0.4838 | 0.3875 | 2.4 | 1.25 | 0.3197 | |||
| rater | 18 | 0.4117 | 0.3920 | 2.26 | 1.05 | 0.3927 | |||
| rater | 19 | -0.00934 | 0.3875 | 2.4 | -0.02 | 0.9826 | |||
| rater | 20 | -0.1353 | 0.4009 | 2.02 | -0.34 | 0.7676 | |||
| rater | 21 | -0.4299 | 0.3875 | 2.4 | -1.11 | 0.3658 | |||
| rater | 22 | -0.1477 | 0.3914 | 2.28 | -0.38 | 0.7383 | |||
| rater | 23 | 0.5128 | 0.3875 | 2.4 | 1.32 | 0.2975 | |||
| color*rater | 1 | 1 | -0.09679 | 0.5477 | 51.4 | -0.18 | 0.8604 | ||
| color*rater | 1 | 2 | -0.4905 | 0.5477 | 51.4 | -0.90 | 0.3747 | ||
| color*rater | 1 | 3 | -0.4503 | 0.5477 | 51.4 | -0.82 | 0.4148 | ||
| color*rater | 1 | 4 | -0.5318 | 0.5477 | 51.4 | -0.97 | 0.3361 | ||
| color*rater | 1 | 5 | -0.3569 | 0.5598 | 37 | -0.64 | 0.5277 | ||
| color*rater | 1 | 6 | 0.2488 | 0.5477 | 51.4 | 0.45 | 0.6516 | ||
| color*rater | 1 | 7 | 0.4536 | 0.5853 | 49.8 | 0.78 | 0.4420 | ||
| color*rater | 1 | 8 | 0.4229 | 0.6441 | 30.4 | 0.66 | 0.5164 | ||
| color*rater | 1 | 9 | -0.2926 | 0.5477 | 51.4 | -0.53 | 0.5955 | ||
| color*rater | 1 | 10 | -0.7427 | 0.5481 | 51.2 | -1.36 | 0.1813 | ||
| color*rater | 1 | 11 | 0.1726 | 0.5477 | 51.4 | 0.32 | 0.7540 | ||
| color*rater | 1 | 12 | -0.1952 | 0.5477 | 51.4 | -0.36 | 0.7230 | ||
| color*rater | 1 | 13 | -0.5218 | 0.5477 | 51.4 | -0.95 | 0.3453 | ||
| color*rater | 1 | 14 | -0.00065 | 0.5605 | 51.4 | -0.00 | 0.9991 | ||
| color*rater | 1 | 15 | 0.3453 | 0.6217 | 38.7 | 0.56 | 0.5818 | ||
| color*rater | 1 | 16 | 0.4065 | 0.5477 | 51.4 | 0.74 | 0.4614 | ||
| color*rater | 1 | 17 | 0.6907 | 0.5477 | 51.4 | 1.26 | 0.2130 | ||
| color*rater | 1 | 18 | 0.2577 | 0.6004 | 44.1 | 0.43 | 0.6698 | ||
| color*rater | 1 | 19 | 0.6859 | 0.5477 | 51.4 | 1.25 | 0.2161 | ||
| color*rater | 1 | 20 | 0.8824 | 0.5741 | 51.1 | 1.54 | 0.1304 | ||
| color*rater | 1 | 21 | 0.006912 | 0.5477 | 51.4 | 0.01 | 0.9900 | ||
| color*rater | 1 | 22 | -0.2852 | 0.5842 | 49.4 | -0.49 | 0.6276 | ||
| color*rater | 1 | 23 | 0.8786 | 0.5477 | 51.4 | 1.60 | 0.1148 | ||
| color*rater | 2 | 1 | 0.1635 | 0.5482 | 51.4 | 0.30 | 0.7667 | ||
| color*rater | 2 | 2 | -0.2302 | 0.5482 | 51.4 | -0.42 | 0.6763 | ||
| color*rater | 2 | 3 | -0.4673 | 0.5482 | 51.4 | -0.85 | 0.3979 | ||
| color*rater | 2 | 4 | 0.3525 | 0.5482 | 51.4 | 0.64 | 0.5231 | ||
| color*rater | 2 | 5 | 0 | 0.8393 | 8.15 | 0.00 | 1.0000 | ||
| color*rater | 2 | 6 | 0.1625 | 0.5482 | 51.4 | 0.30 | 0.7681 | ||
| color*rater | 2 | 7 | -1.2020 | 0.6013 | 44.6 | -2.00 | 0.0517 | ||
| color*rater | 2 | 8 | -0.3124 | 0.5733 | 51.5 | -0.54 | 0.5882 | ||
| color*rater | 2 | 9 | -0.3789 | 0.5482 | 51.4 | -0.69 | 0.4925 | ||
| color*rater | 2 | 10 | 0.9170 | 0.5585 | 52.7 | 1.64 | 0.1066 | ||
| color*rater | 2 | 11 | -0.7457 | 0.5482 | 51.4 | -1.36 | 0.1797 | ||
| color*rater | 2 | 12 | 0.06509 | 0.5482 | 51.4 | 0.12 | 0.9059 | ||
| color*rater | 2 | 13 | 0.2932 | 0.5482 | 51.4 | 0.53 | 0.5951 | ||
| color*rater | 2 | 14 | 0.9499 | 0.6203 | 37.5 | 1.53 | 0.1341 | ||
| color*rater | 2 | 15 | -0.5165 | 0.6453 | 30.8 | -0.80 | 0.4296 | ||
| color*rater | 2 | 16 | 0.2509 | 0.5482 | 51.4 | 0.46 | 0.6492 | ||
| color*rater | 2 | 17 | 0.9510 | 0.5482 | 51.4 | 1.73 | 0.0888 | ||
| color*rater | 2 | 18 | 1.1396 | 0.5500 | 50 | 2.07 | 0.0434 | ||
| color*rater | 2 | 19 | -0.7176 | 0.5482 | 51.4 | -1.31 | 0.1963 | ||
| color*rater | 2 | 20 | -1.3417 | 0.6740 | 23.4 | -1.99 | 0.0583 | ||
| color*rater | 2 | 21 | -1.4659 | 0.5482 | 51.4 | -2.67 | 0.0100 | ||
| color*rater | 2 | 22 | -0.2159 | 0.5597 | 52.2 | -0.39 | 0.7012 | ||
| color*rater | 2 | 23 | 0.8616 | 0.5482 | 51.4 | 1.57 | 0.1222 | ||
| brand(color*type) | Anakena | 1 | 1 | 0.04460 | 0.3668 | 59.3 | 0.12 | 0.9036 | |
| brand(color*type) | Dallas Conte | 1 | 1 | 0.6601 | 0.3572 | 61.5 | 1.85 | 0.0694 | |
| brand(color*type) | Febus | 1 | 1 | -0.9791 | 0.3720 | 58 | -2.63 | 0.0109 | |
| brand(color*type) | Santa Maria | 1 | 1 | 0.1760 | 0.3721 | 58 | 0.47 | 0.6380 | |
| brand(color*type) | casa lapastolle | 1 | 1 | 0.5018 | 0.3618 | 60.5 | 1.39 | 0.1706 | |
| brand(color*type) | Columbia Crest | 1 | 2 | -0.1268 | 0.3570 | 61.5 | -0.36 | 0.7237 | |
| brand(color*type) | Fetzer | 1 | 2 | 0.4687 | 0.3618 | 60.5 | 1.30 | 0.2001 | |
| brand(color*type) | Maple ridge | 1 | 2 | 0.2899 | 0.3572 | 61.6 | 0.81 | 0.4202 | |
| brand(color*type) | Steel Creek | 1 | 2 | -0.2735 | 0.3669 | 59.3 | -0.75 | 0.4589 | |
| brand(color*type) | Washington Hills | 1 | 2 | 0.1159 | 0.3667 | 59.3 | 0.32 | 0.7532 | |
| brand(color*type) | Barbarana Dragon | 2 | 1 | -0.3155 | 0.3839 | 55.2 | -0.82 | 0.4147 | |
| brand(color*type) | Barbarana Vina Allarde | 2 | 1 | 0.6724 | 0.3667 | 59.5 | 1.83 | 0.0717 | |
| brand(color*type) | Campo viejo | 2 | 1 | -0.2131 | 0.3775 | 56.8 | -0.56 | 0.5746 | |
| brand(color*type) | Castillo D Cavino | 2 | 1 | -0.4302 | 0.3720 | 58.2 | -1.16 | 0.2523 | |
| brand(color*type) | Montecillo | 2 | 1 | -0.5788 | 0.3835 | 55.2 | -1.51 | 0.1369 | |
| brand(color*type) | Atlas Peak | 2 | 2 | -0.1202 | 0.3666 | 59.5 | -0.33 | 0.7442 | |
| brand(color*type) | Bridgman | 2 | 2 | 0.3376 | 0.3720 | 58.2 | 0.91 | 0.3679 | |
| brand(color*type) | Flora Springs | 2 | 2 | 0.4974 | 0.3573 | 61.8 | 1.39 | 0.1688 | |
| brand(color*type) | Rabbit Ridge | 2 | 2 | -1.3460 | 0.3619 | 60.7 | -3.72 | 0.0004 | |
| brand(color*type) | Sobon estates | 2 | 2 | 0.6189 | 0.3619 | 60.7 | 1.71 | 0.0923 | |