References in zbMATH (referenced in 96 articles , 1 standard article )

Showing results 1 to 20 of 96.
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  1. Branson, Zach; Shao, Stephane: Ridge rerandomization: an experimental design strategy in the presence of covariate collinearity (2021)
  2. Fan, Caiyun; Lu, Wenbin; Zhou, Yong: Testing error heterogeneity in censored linear regression (2021)
  3. Kharrati-Kopaei, Mahmood: On the exact distribution of the likelihood ratio test statistic for testing the homogeneity of the scale parameters of several inverse Gaussian distributions (2021)
  4. Maraj, Katarzyna; Szarek, Dawid; Sikora, Grzegorz; Wyłomańska, Agnieszka: Time-averaged mean squared displacement ratio test for Gaussian processes with unknown diffusion coefficient (2021)
  5. Mandal, Abhijit: An optimal test for the additive model with discrete or categorical predictors (2020)
  6. Popović, Božidar V.; Mijanović, Andjela; Genç, Ali İ.: On linear combination of generalized logistic random variables with an application to financial returns (2020)
  7. Witkovský, Viktor: Computing the exact distribution of the Bartlett’s test statistic by numerical inversion of its characteristic function (2020)
  8. Chen, Tong; Lumley, Thomas: Numerical evaluation of methods approximating the distribution of a large quadratic form in normal variables (2019)
  9. Gong, Gail; Wang, Wei; Hsieh, Chih-Lin; Van Den Berg, David J.; Haiman, Christopher; Oakley-Girvan, Ingrid; Whittemore, Alice S.: Data-adaptive multi-locus association testing in subjects with arbitrary genealogical relationships (2019)
  10. Liu, Zhonghua; Lin, Xihong: A geometric perspective on the power of principal component association tests in multiple phenotype studies (2019)
  11. Pötscher, Benedikt M.; Preinerstorfer, David: Further results on size and power of heteroskedasticity and autocorrelation robust tests, with an application to trend testing (2019)
  12. Sriananthakumar, Sivagowry: Using point optimal test of a simple null hypothesis for testing a composite null hypothesis via maximized Monte Carlo approach (2019)
  13. Torti, Francesca; Perrotta, Domenico; Riani, Marco; Cerioli, Andrea: Assessing trimming methodologies for clustering linear regression data (2019)
  14. Basu, A.; Mandal, A.; Martin, N.; Pardo, L.: Testing composite hypothesis based on the density power divergence (2018)
  15. Gajda, J.; Wyłomańska, A.; Kantz, H.; Chechkin, A. V.; Sikora, G.: Large deviations of time-averaged statistics for Gaussian processes (2018)
  16. Haghighi, S., Jasemi, M., Hessabi, S. Zolanvari, A.: PyCM: Multiclass confusion matrix library in Python (2018) not zbMATH
  17. Liu, Zhonghua; Lin, Xihong: Multiple phenotype association tests using summary statistics in genome-wide association studies (2018)
  18. Peng, Qidi; Schellhorn, Henry: On the distribution of extended CIR model (2018)
  19. Sikora, Grzegorz: Statistical test for fractional Brownian motion based on detrending moving average algorithm (2018)
  20. Chen, Yin-Hsiu; Mukherjee, Bhramar: A new variance component score test for testing distributed lag functions with applications in time series analysis (2017)

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