SPSS

SPSS is a computer program used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, statistical analysis, and collaboration and deployment (batch and automated scoring services).

This software is also referenced in ORMS.


References in zbMATH (referenced in 647 articles , 11 standard articles )

Showing results 1 to 20 of 647.
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  1. Denis, Daniel J.: Applied univariate, bivariate, and multivariate statistics: understanding statistics for social and natural scientists. With applications in SPSS and R (2021)
  2. Domogo, Andrei A.; Ottesen, Johnny T.: Patient-specific parameter estimation: coupling a heart model and experimental data (2021)
  3. Ejike R. Ugba: serp: An R package for smoothing in ordinal regression (2021) not zbMATH
  4. Fang, Jiqian (ed.); Hao, Yuantao (ed.); Yu, Chuanhua (ed.); Zhang, Yanbo (ed.); Gu, Jing (ed.); Xu, Tianhe (ed.): Statistical methods for biomedical research. Translated from the 2nd Chinese edition (2021)
  5. Markus Burkhardt, Johannes Titz: cofad: An R package and shiny app for contrast analysis (2021) not zbMATH
  6. Ruan, Feiyan; Ding, Xiaotong; Li, Huiping; Wang, Yixuan; Ye, Kemin; Kan, Houming: Back propagation neural network model for medical expenses in patients with breast cancer (2021)
  7. Siebert, Johannes Ulrich; Kunz, Reinhard E.; Rolf, Philipp: Effects of decision training on individuals’ decision-making proactivity (2021)
  8. Akdur, Hatice Tul Kubra; Ozonur, Deniz; Bayrak, Hulya: An adaptation of pseudo-score confidence interval method for linear mixed models (2020)
  9. Bommert, Andrea; Sun, Xudong; Bischl, Bernd; Rahnenführer, Jörg; Lang, Michel: Benchmark for filter methods for feature selection in high-dimensional classification data (2020)
  10. Chen, Dandan; Zhang, Jinming: Book review of: T. Raykov and G. A. Marcoulides, A course in item response theory and modeling with Stata (2020)
  11. Cooksey, Ray W.: Illustrating statistical procedures: finding meaning in quantitative data (2020)
  12. Denis, Daniel J.: Univariate, bivariate, and multivariate statistics using R. Quantitative tools for data analysis and data science (2020)
  13. Dimitrina S. Dimitrova, Vladimir K. Kaishev, Senren Tan: Computing the Kolmogorov-Smirnov Distribution When the Underlying CDF is Purely Discrete, Mixed, or Continuous (2020) not zbMATH
  14. Janczyk, Markus; Pfister, Roland: Understanding inference statistics. From A for significance test to Z for confidence interval (2020)
  15. Markus D. Steiner; Silvia Grieder: EFAtools: An R package with fast and exible implementations of exploratory factor analysis tools (2020) not zbMATH
  16. Matthias Speidel, Jörg Drechsler, Shahab Jolani: The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond (2020) not zbMATH
  17. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  18. Panagiotis Papastamoulis, Ioannis Ntzoufras: On the identifiability of Bayesian factor analytic models (2020) arXiv
  19. Pereira, C.; Hamadyk, E.; Silva, A.: Probabilistic analysis of the durability of architectural concrete surfaces (2020)
  20. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH

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