SSI SCIENTIFIC SOFTWARE INTERNATIONAL
HLM FOR WINDOWS - Concurrent User License
Concurrent User license. An individual Concurrent User License permits activations on multiple computers for 1 specific end user.
If the number of end users exceeds the number of Concurrent User Licenses, license metering software is required.
If the number of end users exceeds the number of Concurrent User Licenses, license metering software is required.
COD: 297727
COD.MEPA: 297727CS
COD.MEPA: 297727CS
Descrizione
HLM 7 for Windows fits linear and nonlinear models to hierarchical (multilevel) data.
The HLM program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship between the expectation of the outcome and a linear combination of a set of explanatory variables. This relationship is defined by a suitable link function, for example, the identity link (continuous outcomes) or logit link (binary outcomes).
Authors: Stephen Raudenbush, Anthony S. Bryk
The HLM program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship between the expectation of the outcome and a linear combination of a set of explanatory variables. This relationship is defined by a suitable link function, for example, the identity link (continuous outcomes) or logit link (binary outcomes).
Authors: Stephen Raudenbush, Anthony S. Bryk
1.091,90 €
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Descrizione
HLM 7 for Windows fits linear and nonlinear models to hierarchical (multilevel) data.
The HLM program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship between the expectation of the outcome and a linear combination of a set of explanatory variables. This relationship is defined by a suitable link function, for example, the identity link (continuous outcomes) or logit link (binary outcomes).
Authors: Stephen Raudenbush, Anthony S. Bryk
The HLM program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship between the expectation of the outcome and a linear combination of a set of explanatory variables. This relationship is defined by a suitable link function, for example, the identity link (continuous outcomes) or logit link (binary outcomes).
Authors: Stephen Raudenbush, Anthony S. Bryk
