Problems encountered in multiple regression due to multicolinearity or missing data can be overcome by using PLS regression. Several versions of the PLS regression algorithm exist. In this paper, we present a new version of this algorithm which can be extended to generalized linear regression models such as ordinal or multinomial logistic regression, generalized linear models, and Cox regressio...

We present a systematic study of the Supernova Remnant (SNR) populations in nearby galaxies NGC 45, 55, 1313, and 7793 based on deep Ha [S II] imaging. find 42 candidate 54 possible SNRs / > 0.4 criterion, 84 which are new identifications. derive joint II]-Ha luminosity functions after accounting for incompleteness effects. that function overall sample is described with skewed Gaussian mean equ...

Modeling environmental data plays a crucial role in explaining phenomena. In some cases, well-known distributions, e.g., Weibull, inverse and Gumbel cannot model events adequately. Therefore, many authors tried to find new statistical distributions represent phenomena more accurately. this paper, an α-monotone generalized log-Moyal (α-GlogM) distribution is introduced properties such as cumulat...

One of the most widely known probability distributions used to explain probabilistic behavior positive data is log-normal (LN). Although LN distribution capable adjusting types, it not always fully true that model manages adequately response interest since in some cases, degree skewness and/or kurtosis are greater or less than those can capture. Another peculiarity only fits unimodal data, whic...

MOTIVATION Authors of several recent papers have independently introduced a family of transformations (the generalized-log family), which stabilizes the variance of microarray data up to the first order. However, for data from two-color arrays, tests for differential expression may require that the variance of the difference of transformed observations be constant, rather than that of the trans...

This paper introduces, investigates, and discusses the γ-order generalized lognormal distribution (γ-GLD). Under certain values of the extra shape parameter γ, the usual lognormal, log-Laplace, and log-uniform distribution, are obtained, as well as the degenerate Dirac distribution.The shape of all themembers of the γ-GLD family is extensively discussed.The cumulative distribution function is e...

several characterizations of marshall-olkin generalized distributions, introduced by gui (2013) and by al-saiari et al. (2014) are presented. these characterizations are based on: (i) a simple relationship between two truncated moments ; (ii) the hazard function.