Moments of truncated normal/independent distributions
AI Genç - Statistical Papers, 2013 - Springer
In this work we have considered the problem of finding the moments of a doubly truncated
member of the class of normal/independent distributions. We obtained a general result and …
member of the class of normal/independent distributions. We obtained a general result and …
Inference for a constant-stress model under progressive type-II censored data from the truncated normal distribution
M Sief, X Liu, AERM Abd El-Raheem - Computational Statistics, 2024 - Springer
In this study, constant-stress accelerated life testing has been investigated using type-II
censoring of failure data from a truncated normal distribution. Various classical estimation …
censoring of failure data from a truncated normal distribution. Various classical estimation …
Estimating parameters of mixtures of multivariate t-populations and application to classification of observations
The problem of classifying an observation into mixtures of two multivariate t-distributions is
studied when the location parameters and covariance matrices are unknown. For mixtures of …
studied when the location parameters and covariance matrices are unknown. For mixtures of …
Inference on parameters of Watson distributions and application to classification of observations
In this paper, we derive a class of equivariant estimators of the directional parameter of the
Watson distribution with a known concentration parameter. When all parameters are …
Watson distribution with a known concentration parameter. When all parameters are …
Spatial contextual classification based on conditional distributions belonging to elliptical and exponential families
E Zikarienė - 2022 - epublications.vu.lt
Abstract [eng] When using supervised generative models in classification problems, the
assumption of independence of observations is applied or the data is assumed to be …
assumption of independence of observations is applied or the data is assumed to be …
Generate random variates using a newly introduced approximation to cumulative density of lower truncated normal distribution for simulation applications
MM Hamasha - International Journal of Mathematics in …, 2018 - inderscienceonline.com
In this paper, the lower side truncated cumulative normal distribution is approximated by a
simple function, the inverse of the function is derived, and random variates are explained …
simple function, the inverse of the function is derived, and random variates are explained …
Genelleştirilmiş hiperbolik dağılımlara dayalı diskriminant analizi
A Yılmaz - 2013 - search.proquest.com
Bu tez çalışmasında Çok Değişkenli Genelleştirilmiş Hiperbolik Dağılım (GHD) ailesinin bazı
özel durumlarının diskriminant analizinde kullanılması ele alınmıştır. GHD ailesinden bazı …
özel durumlarının diskriminant analizinde kullanılması ele alınmıştır. GHD ailesinden bazı …