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References in zbMATH (referenced in 208 articles )

Showing results 1 to 20 of 208.
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  1. Cho, Kyung Serk; Tony Ng, Hon Keung: Tolerance intervals in statistical software and robustness under model misspecification (2021)
  2. Jong-Hee Chung, Yong-Bin Lim, Donghoh Kim: BDEsize: An R package for efficient determination of sample size in a balanced design of experiments (2021) not zbMATH
  3. Kenett, Ron S.; Zacks, Shelemyahu; Amberti, Daniele: Modern industrial statistics. With applications in R, MINITAB and JMP (2021)
  4. Kevin Kunzmann, Maximilian Pilz, Carolin Herrmann, Geraldine Rauch, Meinhard Kieser: The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R (2021) not zbMATH
  5. Panichkitkosolkul, Wararit; Sukparungsee, Saowanit; Volodin, Andrei: A new asymptotic distribution-based method for testing the signal-to-noise ratio in birth weight data from Thailand (2021)
  6. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  7. Hesamian, Gholamreza; Akbari, Mohamad Ghasem: A kriging method for fuzzy spatial data (2020)
  8. Lesik, Sally A.: Applied statistical inference with MINITAB (2019)
  9. Tanaka, Emi; Hui, Francis K. C.: Symbolic formulae for linear mixed models (2019)
  10. Bolstad, William M.; Curran, James M.: Introduction to Bayesian statistics (2017)
  11. Li, Xuebin; Wang, Zhiqiang; Huang, Lihua: Study of vibration characteristics for orthotropic circular cylindrical shells using wave propagation approach and multivariate analysis (2017)
  12. Ross, Sheldon M.: Introductory statistics. (2017)
  13. Sheikhi, Ayyub: On some exact distributions in ranked set sampling (2017)
  14. Thongsook, Saranya: Using the GA package in R program and desirability function to develop a multiple response optimization procedure in case of two responses (2017)
  15. Chai, Soo H.; Lim, Joon S.: Forecasting business cycle with chaotic time series based on neural network with weighted fuzzy membership functions (2016)
  16. Christensen, Ronald: Analysis of variance, design and regression. Linear modeling for unbalanced data (2016)
  17. Fasshauer, Gregory; McCourt, Michael: Kernel-based approximation methods using MATLAB (2016)
  18. John Lawson, Cameron Willden: Mixture Experiments in R Using mixexp (2016) not zbMATH
  19. Mendenhall, William M.; Sincich, Terry L.: Statistics for engineering and the sciences (2016)
  20. Ana Cebrián; Jesús Abaurrea; Jesús Asín: NHPoisson: An R Package for Fitting and Validating Nonhomogeneous Poisson Processes (2015) not zbMATH

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