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- Model Fit
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- Intercept
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- {Random}
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- {Variance}
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- {RS}
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- > Censor >
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- > Weight >
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- Analysis of Variance
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- Source
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- DF
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- Sum of Squares
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- Mean Square
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- F Ratio
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- Prob>F
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- Nparm
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- Effect Test
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- Model
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- Error
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- C Total
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- Lack of Fit
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- Pure Error
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- Total Error
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- Parameter Estimates
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- Term
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- DF
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- Estimate
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- Std Error
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- t Ratio
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- Prob>|t|
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- Least Squares Means
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- Level
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- Least Sq Mean
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- Std Error
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- Mean
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- Singularity Details
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- Summary of Fit
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- RSquare (U)
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- Observations (or Sum Wgts)
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- Analysis of LogLikelihood
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- Source
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- DF
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- –LogLikelihood
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- ChiSquare
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- Prob>ChiSq
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- Wald ChiSquare
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- Nparm
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- ChiSquare
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- Prob>ChiSq
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- Effect
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- Macros
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- Effect Attributes
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- Polynomial Degree must be between 1 and 5
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- No Y's selected, or personality unchosen
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- Responses should have the same measurement levels.
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- SSE
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- Residuals 
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- Predicted 
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- R–Square
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- Sum of Squares Error
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- Smoothing Spline Fit, lambda=
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- Specify Smoothness Value for Spline
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- Summary of Fit
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- RSquare
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- RSquare Adj
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- Root Mean Square Error
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- Mean of Response
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- Observations (or Sum Wgts)
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- Max RSq
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- Test
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- Likelihood Ratio
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- Model Fit
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- Y by X
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- Can only handle responses with 2 levels
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- Bivariate Normal Ellipse P=
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- Correlation
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- Signif. Prob
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- Contrast
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- Estimate
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- Std Error
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- t Ratio
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- Prob>|t|
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- SS
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- Sum of Squares
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- Numerator DF
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- F Ratio
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- Prob > F
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- Response Surface
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- SaddlePoint
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- Maximum
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- Minimum
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- Degenerate
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- Solution
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- Variable
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- Critical Value
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-     Solution is a
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- EigenValues and EigenVectors
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- EigenStructure
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- New Column
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- Done
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- Help
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- Linear Fit
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- Polynomial Fit, degree=n
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- Response:
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- Whole–Model Test
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- Pred Formula 
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-  Leverage of 
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-  Zeroed
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-  Biased
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-  NonEstimable
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-  {Error Effect}
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-  LostDFs
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- Poly
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- Surface
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- Predicted 
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- Residual 
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- Lower 95% Pred 
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- Lower 95% Indiv 
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- Studentized Resid 
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- h
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- StdErr Pred 
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- StdErr Resid 
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- StdErr Indiv 
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- Upper 95% Pred 
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- Upper 95% Indiv 
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- Pred Formula 
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- Leverage
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- Converged by Objective
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- Converged by Gradient
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- ALERT: Failed to converge—step–halving limit
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- ALERT: Failed to converge—max iterations
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- Cook’s D Influence
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- Expected Mean Squares
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- The Mean Square per row by the Variance Component per column
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- plus 1.0 times Residual Error Variance
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- Variance Component Estimates
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- Component
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- Var Comp Est
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- These estimates based on equating Mean Squares to Expected Value.
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- Test Denominator Synthesis
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- MS Den
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- DF Den
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- Denom MS Synthesis
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- Tests wrt Random Effects
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- MS Num
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- DF Num
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- Denominator MS Synthesis:
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- Non-linear Fitting
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- Can't do F quantile for confid interval.
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- Graph
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- Correlation of Estimates
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- Confid Limits
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- Iteration Log
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- Loss Formula does not reference Model. It will not be used.
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- Loss Variable has no formula.
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- Formulas
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- Nonlinear Fitting Control Panel
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- Lock
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- Go
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- Stop
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- Step
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- Reset
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- Current Value
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- Lower
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- Upper
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- Model has no formula
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- Std Dev
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- Click Go to start.
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- Current
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- Limit
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- Alpha
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- Solution
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- DFE
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- MSE
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- RMSE
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- Parameter
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- ApproxStdErr
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- Lower CL
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- Upper CL
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- Warning: Std Err calculated with respect to Synthetic Denominator.
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- Seq SS
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- Power
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- Alpha
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- Number
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- Sigma
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- Delta
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- AdjPower
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- LowerCL
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- UpperCL
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- Least Significant Number
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- Number(LSN)
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- Least Significant Value
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- LSV
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- Power Details
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- LSV.05
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- LSN.05
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- AdjPower.05
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- Solve for Power
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- Solve for Least Significant Number
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- Solve for Least Significant Value
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- Adjusted Power and Confidence Interval
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- N [Sample Size]
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- s [std dev error]
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- Delta
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- Inflation
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- Click and Enter 1, 2 or a sequence of values for each:
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- Done
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- Cancel
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- Help
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- Calculations will be done on all combinations
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- Power Details Dialog
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- Test
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- Custom Test
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- Click and Type Above to form hypothesis test.
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- Add Column
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- WARNING: Non-Testable Contrast
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- LSMeans
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- Profile Plot
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- Response Contour Plot
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- Sequential (Type 1) Tests
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- Iter
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- Step
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- Delta-Criterion
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- Obj-Criterion
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- Iteration History
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- Inverse Prediction
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- 1-Alpha
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- Click/Enter X values. Clear one X to predict.
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- Click/Enter values for
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- Exactly one missing X needed.
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- At least one Y (or Probability) needs to be specified.
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- Unable to calculate fiducial interval
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- Lower Limit
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- Upper Limit
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- 1-Alpha
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- X Values
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- Multiple Y's only allowed for continuous measurement type.
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- Mixed Response types
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- Singular EMS Matrix
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- Whole Model
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- Residual
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- Durbin-Watson
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- Number of Obs.
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- AutoCorrelation
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- Prob<DW
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- This could take a long time. Are you sure?
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- Probability
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- Likelihood Ratio Tests
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- Can't do ChiSquare quantile for confid interval.
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- Fit: Confidence Intervals
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- Lower
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- Upper
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- Specify alpha for 1-alpha Confidence Level
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- Alpha out-of-range
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- Odds Ratio
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- Odds Lower
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- Odds Upper
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- Contrast Dialog for Effect
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- Click on + or - to make contrast values.
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- Contrast Specification
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- WARNING: Non-Testable Contrast
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- WARNING: Used Synthetic Denominator from Test
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- Tested against reduced model: Y=0
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- Tested against reduced model: Y=mean
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- This will cause a huge formula.
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- Can save only if all regressors are continuous
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- Continuous effects cannot be random
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