La analitica predictiva desde la perspectiva de IBM SPSS
uFull description
uDescripción completa
uFull description
Descripción: ibm
Full description
HR
Full description
Full description
Descripción: http://free-assignment-exchange.blogspot.com/ For downloading this report and many other assignment, project and reports for marketing, management, human resource management, supply chain manageme...
MIDAS vs RobotDescripción completa
A literary comparison of the two characters from the Iliad.
Full description
f
Compares the Basel RulesDescripción completa
Christianity, Hinduism and Islam comparison for a religions projectFull description
Descripción: Comparison of Plant and Animal Development(1)
Full description
Read full article in https://pinoygeektivist.wordpress.com/2017/12/19/2017-amendments-to-the-revised-penal-code/
Comparison of Minitab and IBM SPSS 1. Easy to learn and easy to use. SPSS is menu-driven; the software is very easy to use. Like Minitab, most of the functionalities in SPSS are organized into pull-down menus in a very intuitive way. The learning curves for SPSS SPSS and Minitab are are similar. 2. SPSS is generally stronger in statistical analysis, especially in some specific area, such as ANOVA-related procedures.
The add-on modules give SPSS further further flexibility and
potentials to develop its capacities. capacities. However, for cutting-edge statistical statistical analysis, SPSS is stronger than Minitab. Minitab. So SPSS is most suitable suitable to you if your work work involves large dataset, frequent data management, and intermediate/partially-advanced statistical analysis. 3. SPSS Statistics is loaded with powerful analytic techniques and time-saving features to help you quickly and easily find new insights in your data, so you can make more accurate predictions and achieve better outcomes for your organization. 4. View interactive SPSS Statistics output on smart devices (smartphones and tablets) and Generate presentation-ready output quickly and easily 5. Enhanced Monte Carlo simulation to improve model accuracy with a. Ability to fit a categorical distribution to string fields b. Support for Automatic Linear Modeling (ALM) c. Generate heat maps automatically when displaying scatterplots in which the target or the input, or both, are categorical d. Automatically determine and use associations between categorical inputs when generating data for those inputs e. Generating data in the absence of a predictive model 6.
SPSS Advanced Statistics offers generalized linear mixed models (GLMM), general linear models (GLM), mixed models procedures, generalized linear models (GENLIN) and generalized estimating equations (GEE) procedures.
Comparison of Minitab and IBM SPSS in ANOVA
Product
One-way
Two-way
MANOVA
GLM
Mixed model
Post-hoc
Latin squares
Minitab
Yes
Yes
Yes
Yes
No
Yes
Yes
SPSS
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Comparison of Minitab and IBM SPSS in Regression
Product
OLS
WLS
2SLS
NLLS
Logistic
GLM
LAD
Step
Quantile
Probit
Cox
Poisson
MLR
wise
Minitab
Yes
Yes
No
Yes
Yes
No
No
Yes
No
No
No
No
No
SPSS
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
OLS 2SLS LAD MLR
Ordinary Least Squares 2 Stage least Squares Least Absolute Deviation Multiple Linear Regression
WLS NLLS GLM
Weighted Least Squares Non Linear Least Squares Generalized Linear Models
Comparison of Minitab and IBM SPSS for Operation System Support
Product
Windows
Mac OS
Linux
BSD
Unix
Minitab
Yes
No
No
No
No
SPSS
Yes
Yes
Yes
No
No
Comparison of Minitab and IBM SPSS for Charts and Diagrams
