On the natural restrictions in the singular Gauss–Markov model
Gauss–Markov model, Estimability of parametric functions, Unbiasedness of linear estimator, Natural restriction, Explicit restriction, Matrix rank method, OLSE, BLUE, 62J05, 62F30,
Yongge Tian +3 more
core +1 more source
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. [PDF]
Hashimoto EM +4 more
europepmc +1 more source
Missing data methods in longitudinal studies: a review
Expectation-maximization algorithm, Incomplete data, Missing completely at random, Missing at random, Missing not at random, Pattern-mixture model, Selection model, Sensitivity analyses, Shared-parameter model, 62J05, 62J12, 62P10,
Geert Molenberghs, Joseph Ibrahim
core +1 more source
A robust and efficient variable selection method for linear regression. [PDF]
Yang Z, Fu L, Wang YG, Dong Z, Jiang Y.
europepmc +1 more source
Precise small deviations in L 2 of some Gaussian processes appearing in the regression context
Kirichenko Alisa, Nikitin Ya.
doaj +1 more source
Unit upper truncated Weibull distribution with extension to 0 and 1 inflated model - Theory and applications. [PDF]
Okorie IE, Afuecheta E, Bakouch HS.
europepmc +1 more source
Predicting and explaining absenteeism risk in hospital patients before and during COVID-19. [PDF]
Borges A +4 more
europepmc +1 more source
Partial least squares regression with compositional response variables and covariates. [PDF]
Chen J, Zhang X, Hron K.
europepmc +1 more source
Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes. [PDF]
Jayasinghe JMT +2 more
europepmc +1 more source
Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates. [PDF]
Opheim T, Roy A.
europepmc +1 more source

