In some statistical process monitoring applications, quality of a process or product is described by more than one ordinal factors called ordinal multivariate process. To show the relationship between these factors, an ordinal contingency table is used and modeled with ordinal log-linear model. In this paper, a new control charts based on ordinal-normal statistic is developed to monitor the ord...

introduction: in this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. epilepsy is considered as a dynamical change in nonlinear and complex brain system. the ability of the proposed measure for characterizing the normal and epileptic eeg signals when the signal is short or is...

In this paper, the orders induced by the residual implications obtained from uninorms are investigated. A necessary and sufficient condition is presented so that the ordinal sum of fuzzy implications satisfies the law of importation with a t-norm $T$. Some relationships between the orders induced by an ordinal sum implication and its summands are determined. The algebraic structures obtained fr...

The purpose of this paper is to introduce the idea how construct transfinite numbers and study arithmetic. research method used a literature review, which involves collecting various sources such as scientific papers books related Cantorian set theory, infinity, ordinal or arithmetic, well connection between infinity theology. also constructing objects study, namely finite ordinals ordinals, ex...

objective: the aim of this study was to identify prognosis factors associated with recurrence in patients ‎with bipolar disorder.‎‎ method: this retrospective cohort study was conducted in hamadan province, the west of iran. all ‎patients (n = 400) with bipolar disorder who were hospitalized for the second time or more ‎during april 2008 to september 2014 were included in this study. ordinal lo...

 About 25 years ago, McCullagh proposed a method for modeling univariate ordinal responses. After publishing this paper, other statisticians gradually extended his method, such that we are now able to use more complicated but efficient methods to analyze correlated multivariate ordinal data, and model the relationship between these responses and host of covariates. In this paper, we aim to...