Discrete associated kernel estimation in (R, s, S) inventory model | ASJP

Séminaire Mathématique de Béjaia
Volume 16, Numéro 1, Pages 74-74
2018-12-31

Discrete Associated Kernel Estimation In (r, S, S) Inventory Model

Authors : Afroun Fairouz . Aïssani Djamil . Hamadouche Djamel .

Abstract

In this work, we study the problem of choosing the smoothing parameter for an associated kernel estimator of the transition matrix of a discrete Markov chain. To do this, we considered an (R, s, S) inventory model. Based on numerical examples, we found that the chosen smoothing parameter estimator, by minimizing a certain matrix norm, gives better results, in terms of stationary characteristics of the model, than classical alternatives.

Keywords

Inventory model; Markov chain; Smoothing parameter; Associated kernels; Errors.

Inventory And Stand Structure Of Species Associated With Two Target Fish (spicara Maena And Pagellus Acarne) In Algerian Landings

Amira Soumia .
pages 7-14.

The Adaptive Gamma-bspe Kernel Density Estimation For Nonnegative Heavy-tailed Data

Ziane Yasmina . Zougab Nabil . Adjabi Smail .
pages 38-47.

Kernel Svm Classifiers Based On Fractal Analysis For Estimation Of Hearing Loss

Djemai Mohamed . Guerti Mhania .
pages 45-50.

Estimation Du Biais Du Modele Regressif Puissance «concentration-debit»:cas Du Bassin Versant Du K’sob Estimation Of The Bias Of The Regression Power Model « Concentration-discharge» In K’sob Basin

Touaibia Imane . Ghenim Abderrahmane Nekkache .
pages 116-126.

A Taylor Series Approximation For The Performance Measures Of The (r, S, S) Inventory Model

Rahmoune-aoudia Fazia . Rabta Boualem . Aïssani Djamil .
pages 59-64.