Statistical Support – Algorithms

 

SPSS 14.0 Statistical Algorithms

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ACF/PACF ALSCAL ANACOR
ANOVA AREG ARIMA
CATPCA CATREG CCF
CLUSTER CNLR CONJOINT
CORRELATIONS CORRESPONDENCE COXREG
CREATE CROSSTABS CS_covariance
CS_modeltesting CSDESCRIPTIVES CSGLM
CSLOGISTIC CSSELECT CSTABULATE
CTABLES CURVEFIT DESCRIPTIVES
DISCRIMINANT Error Bars EXAMINE (Explore)
EXSMOOTH FACTOR FIT
FREQUENCIES GENLOG Multinomial Loglinear and Logit Models GENLOG Poisson Loglinear Model
GLM Univariate and Multivariate GLM Repeated Measures HILOGLINEAR
HOMALS Intervals for percentages and counts KM
LOGISTIC REGRESSION LOGLINEAR MANOVA
MEANS MIXED MULTIPLE CORRESPONDENCE
MVA NLR NOMREG
NONPAR CORR NPAR TESTS ONEWAY
ORTHOPLAN OVERALS PARTIAL CORR
PLUM PPLOT PRINCALS
PROBIT PROXIMITIES PROXSCAL
QUICK CLUSTER RANK RATIO STATISTICS
REGRESSION RELIABILITY RMV
ROC SAMPLE SEASON
SPCHART SPECTRA SURVIVAL
T-TEST TREE-assignment-risk TREE-CART
TREE-CHAID TREE-gain-summary TREE-pruning
TREE-QUEST TSMODEL TWOSTEP CLUSTER | AIM
VARCOMP WLS 2SLS
Appendices
Appendix 1: Significance Level of a Standard Normal Deviate Appendix 2: Significance of a t Statistic Appendix 3: Significance of a Chi-Square Statistic
Appendix 4: Significance of an F Statistic Appendix 5: Significance Levels for Fisher's Exact Test Appendix 6: Sorting and Searching
Appendix 7: Generation of Random Numbers Appendix 8: Grouped Percentiles Appendix 9: Indicator Method
Appendix 10: Post Hoc Tests Appendix 11: Sums of Squares Appendix 12: Cumulative Distribution, Percentile Functions, and Random Numbers
Appendix 13: SPCHART Appendix 14: Box's M Test Bibliography
Procedures Available Only in SPSS Server
DETECTANOMALY NAIVE BAYES SELECTPRED