SenSrivastava

SenSrivastava: Datasets from Sen & Srivastava. Collection of datasets from Sen & Srivastava: Regression Analysis, Theory, Methods and Applications, Springer. Sources for individual data files are more fully documented in the book.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 27 articles , 2 standard articles )

Showing results 1 to 20 of 27.
Sorted by year (citations)

1 2 next

  1. Emura, Takeshi; Hu, Ya-Hsuan; Konno, Yoshihiko: Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation (2017)
  2. Kim, Hea-Jung: A best linear threshold classification with scale mixture of skew normal populations (2015)
  3. Young, Derek S.: Mixtures of regressions with changepoints (2014)
  4. Gatu, Cristian; Kontoghiorghes, Erricos John: A fast algorithm for non-negativity model selection (2013)
  5. Zi, Xuemin; Zou, Changliang; Liu, Yukun: Two-sample empirical likelihood method for difference between coefficients in linear regression model (2012)
  6. Berre, Inga; Lien, Martha; Mannseth, Trond: Identification of three-dimensional electric conductivity changes from time-lapse electromagnetic observations (2011)
  7. Feng, Tao; Mannseth, Trond: Impact of time-lapse seismic data for permeability estimation (2010)
  8. Srivastava, Muni S.; Dolatabadi, Mohammad: Multiple imputation and other resampling schemes for imputing missing observations (2009)
  9. Apolloni, Bruno; Bassis, Simone; Gaito, Sabrina; Malchiodi, Dario: Bootstrapping complex functions (2008)
  10. Berre, Inga; Lien, Martha; Mannseth, Trond: A level-set corrector to an adaptive multiscale permeability prediction (2007)
  11. Gatu, Cristian; Yanev, Petko I.; Kontoghiorghes, Erricos J.: A graph approach to generate all possible regression submodels (2007)
  12. Hofmann, Marc; Gatu, Cristian; Kontoghiorghes, Erricos John: Efficient algorithms for computing the best subset regression models for large-scale problems (2007)
  13. Karami, K.; Teimoorinia, H.: Velocity curve analysis of the spectroscopic binary stars by the non-linear least squares (2007)
  14. Nielsen, Lars Kristian; Subbey, Sam; Christie, Mike; Mannseth, Trond: Reservoir description using dynamic parameterisation selection with a combined stochastic and gradient search (2006)
  15. Pace, L.; Salvan, A.; Ventura, L.: Likelihood-based discrimination between separate scale and regression models (2006)
  16. Pelckmans, K.; Suykens, J.A.K.; De Moor, B.: Additive regularization trade-off: Fusion of training and validation levels in kernel methods (2006) ioport
  17. Srivastava, M.S.; Kubokawa, T.: Minimax multivariate empirical Bayes estimators under multicollinearity (2005)
  18. Giloni, A.; Padberg, M.: Alternative methods of linear regression (2002)
  19. Gnot, Stanisław; Grządziel, Mariusz: Nonnegative minimum biased quadratic estimation in mixed linear models (2002)
  20. Tran-Canh, D.; Tran-Cong, T.: BEM-NN computation of generalised Newtonian flows (2002)

1 2 next