Variance Estimation and Precision

Element Name Description
General
Detail of computed results reported Specifies the detail of computed results reported. If All results is requested, Statistica will report all univariate results (for multivariate designs), descriptive statistics, details about the design terms, the whole-model R, regression coefficients, and the least-squares means for all effects. Residual and predicted statistics (for observations) can be requested as options.
Level of interactions Specify the maximum level of interactions/nesting; Use default (the minimum of the number of factors and 8) if 0.
Design Specify the design, including the fixed and random effects.
RandomEffects Specifies the random effects
Estimating method Specifies the estimating method, analysis of variance or restricted maximum likelihood.
Type of sums of squares Specifies how to construct the hypotheses for the tests of main effects and interactions; for the sigma-restricted model (PARAM=SIGMA) the default value is 6 (unique or effective hypothesis decomposition; see Hocking, 1985) and option 4 is not valid; for the overparameterized model (PARAM=OVERP) the default value is 3 (orthogonal; see Goodnight, 1980), and option 6 is not valid. For a description and discussion of the different options for constructing main effect and interaction hypotheses in unbalanced and incomplete designs, see also the Six Types of Sums of Squares topic in the Electronic Manual.
Use first design as default Use first design as default.
Save design Save design.
Params
Collapse level Specifies the maximum level of variance collapsing.
Residual type specify the nresidual type.
Plot relative variances (% of total) Plot relative variances (% of total).
Alpha for confidence intervals Specifies the alpha for confidence intervals.
Deployment Deployment is available if the Statistica installation is licensed for this feature.
Generates C/C++ code Generates C/C++ code for deployment of predictive model (for a single dependent variable only).
Generates SVB code Generates Statistica Visual Basic code for deployment of predictive model (for a single dependent variable only).
Generates PMML code Generates PMML (Predictive Models Markup Language) code for deployment of predictive model (for a single dependent variable only). This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large datasets.
Saves C/C++ code Save C/C++ code for deployment of predictive model (for a single dependent variable only).
File name for C/C code Specify the name and location of the file where to save the (C/C++) deployment code information.
Saves SVB code Save Statistica Visual Basic code for deployment of predictive model (for a single dependent variable only).
File name for SVB code Specify the name and location of the file where to save the (SVB/VB) deployment code information.
Saves PMML code Saves PMML (Predictive Models Markup Language) code for deployment of predictive model (for a single dependent variable only). This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large data sets.
File name for PMML (XML) code Specify the name and location of the file where to save the (PMML/XML) deployment code information.