BMDP

BMDP is a statistical package developed in 1965 at UCLA. Based on the older BIMED program, developed in 1960 for biomedical applications, it used keyword parameters in the input instead of fixed-format cards, so the letter P was added to the letters BMD, although the name was later defined as being an abbreviation for Biomedical Package. BMDP was originally distributed for free. It is now offered by Statistical Solutions.


References in zbMATH (referenced in 112 articles )

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  1. Belohlavek, Radim; Trnecka, Martin: A new algorithm for Boolean matrix factorization which admits overcovering (2018)
  2. Belohlavek, Radim; Trnecka, Martin: Handling noise in Boolean matrix factorization (2018)
  3. García-Santillán, Arturo: Measuring set latent variables that explain attitude toward statistic through exploratory factor analysis with principal components extraction and confirmatory analysis (2017)
  4. Chambers, John M.: Extending R (2016)
  5. Christensen, Ronald: Analysis of variance, design and regression. Linear modeling for unbalanced data (2016)
  6. Lin, Shu-Hui; Huang, Yun-Chen: Development and application of a Chinese version of the short attitudes toward mathematics inventory (2016) MathEduc
  7. Gürcan, Önder: Effective connectivity at synaptic level in humans: a review and future prospects (2014)
  8. Guillaume, Serge; Charnomordic, Brigitte; Loisel, Patrice: Fuzzy partitions: a way to integrate expert knowledge into distance calculations (2013)
  9. Lee, Elisa T.; Wang, John Wenyu: Statistical methods for survival data analysis (2013)
  10. Sun, Minghe: A mixed integer programming model for multiple-class discriminant analysis (2011)
  11. Wang, Yi-Fu; Fan, Tsai-Hung: A Bayesian analysis on time series structural equation models (2011)
  12. Bartl, Eduard; Belohlavek, Radim; Konecny, Jan: Optimal decompositions of matrices with grades into binary and graded matrices (2010)
  13. Kachiashvili, K. J.; Melikdzhanjan, D. I.: SDpro --- The software package for statistical processing of experimental information (2010)
  14. Klein, Andreas G.; Schermelleh-Engel, Karin: Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM (2010)
  15. Pacheco, Joaquín; Casado, Silvia; Núñez, Laura: A variable selection method based on Tabu search for logistic regression models (2009)
  16. Ryan, Thomas P.: Modern regression methods. (2009)
  17. Lee, Sik-Yum (ed.): Handbook of latent variable and related models. (2007)
  18. Petaccia, Silvio; Serravall, Roberta; Pellicano, Francesco: Improved method of sea level forecasting at Venice (Northern Adriatic sea) (2006)
  19. Ramsey, Philip H.; Gibson, W. A.: Improved communality estimation in factor analysis (2006)
  20. Song, Jaeki; Kim, Yong Jin: Social influence process in the acceptance of a virtual community service (2006) ioport

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