Stats, Volume 2, Issue 4

In all fields of quantitative research, analysing data with missing values is an excruciating challenge. It should be no surprise that given the fragmentary nature of fossil records, the presence of missing values in geographical databases is unavoid...

We examine in this paper the implementation of Bayesian point predictors of order statistics from a future sample based on the $k^{\mathrm{th}}$ lower record values from a generalized exponential distribution.

Classification has applications in a wide range of fields including medicine, engineering, computer science and social sciences among others. Liu et al. (2019) proposed a confidence-set-based classifier that classifies a future object into a single c...

The paper completes the multi-parametrical fitting methods, which are based on metrics induced by the non-Euclidean L_q-norms, by deriving the errors of the optimal parameter values. This was achieved using the geometric representation of the residual...

The paper shows how the linear regression depends on the selection of the reference frame. The slope of the fitted line and the corresponding Pearson’s correlation coefficient are expressed in terms of the rotation angle. The correlation coeffi...