Continuous-time multi-state Markov models can be used to describe transitions over time across health states. Given longitudinal interval-censored data on between states, statistical inference changing is possible by specifying for transition hazards. Parametric time-dependent hazards restrictive, and nonparametric hazard specifications using splines are presented as an alternative. The smoothi...

The paper deals with interval observer design for fuzzy switched positive systems. systems are represented by the Takagi-Sugeno models, premise variables depending on a measurable part of state vector. Stability conditions proposed structure formulated via linear matrix inequalities to ensure nonnegative system estimation. method allows compute lower and upper bounds under assumption that distu...

Background & Aims: There are different methods concerning the exercise time duration, but information about its various models in middle-aged men is yet inadequate. The present study was meant to decide the interval training effects on losing weight and lipid profile and compare its efficiency with continuous training. Materials & Methods: The statistical population of this randomized trial (t...

In the classical data envelopment analysis (DEA) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. In recent years, there are few researches on handling missing data. This paper suggests a new interval based approach to apply missing data, which is the modified version of Kousmanen (2009) approach. First, the prop...