background: in survival studies when the event times are dependent, performing of the analysis by using of methods based on independent assumption, leads to biased. in this paper, using copula function and considering the dependence structure between the event times, a parametric joint distribution has made fitting to the events, and the effective factors on each of these events would be determ...

We suggest a method for using nonparametric information to modify a parametric model at a low-order level, retaining information in the model only to enhance the nonparametric approach at relatively high orders. Our technique represents an alternative to methods that rst t a parametric model and then adjust it. In particular, relative to a \nonparametric estimator with a parametric start," our ...

This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationships allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP est...

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If we have a parametric model for the invariant distribution of a Markov chain but cannot or do not want to use any information about the transition distribution (except, perhaps, that the chain is reversible) | what, then, is the best use we can make of the observations? It is not optimal to proceed as if the observations were i.i.d. We determine a lower bound for the asymptotic variance of es...

In this paper, a non-parametric approach is proposed for the recognition of paper currency. The proposed approach is based on the development of a non-parametric model for each kind of paper currency. The model is obtained by averaging all available samples of a banknote. In order to get a reliable model, all banknotes should be aligned which is ensured in this work by a new proposed capturing ...

Many different parametric models for video quality assessment have been proposed in the past few years. This paper presents a review of nine recent models which cover a wide range of methodologies and have been validated for estimating video quality due to different degradation factors. Each model is briefly described with key algorithms and relevant parametric formulas. The generalization capa...

Suppose we have speciied a parametric model for the transition distribution of a Markov chain, but that the true transition distribution does not belong to the model. Then the maximum likelihood estimator estimates the parameter which maximizes the Kullback{Leibler information between the true transition distribution and the model. We prove that the maximum likelihood estimator is asymp-totical...

A process-based parametric model for product cost estimation has been developed in this paper. In the model, the production activities of a manufacturing system are classified and their consumption characteristics (mainly the activity cost rates) are analyzed with the Activity-based costing (ABC) method. The relationship from product parameters (the order quantity and design parameters) to the ...