Functional Statistics and Applications Selected Papers from MICPS-2013 /

This volume, which highlights recent advances in statistical methodology and applications, is divided into two main parts. The first part presents theoretical results on estimation techniques in functional statistics, while the second examines three key areas of application: estimation problems in q...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ould Saïd, Elias (Επιμελητής έκδοσης), Ouassou, Idir (Επιμελητής έκδοσης), Rachdi, Mustapha (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Contributions to Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preface
  • Part I: Functional Statistics
  • Attaoui, Laksaci and Ould Saïd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes
  • Badaoui and Rhomari: BlockShrink Wavelet Density Estimator in φ-Mixing Framework
  • Benchikh: Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral
  • Girard and Louhichi: On the Strong Consistency of the Kernel Estimator of Extreme Conditional Quantiles
  • Naceri, Laksaci and Rachdi: Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates
  • Ouassou: Estimation of a Loss Function for Spherically Symmetric Distribution with Constraints on the Norm
  • Part II: Applications (Queuing Theory, Signal Analysis, Epidemiology)
  • Bareche and Aïssani: Impact of Nonparametric Density Estimation on the Approximation of the G/G/1 Queue by the M/G/1 One
  • Boualem, Cherfaoui, Djellab and Aïssani: Stochastic Analysis of an M/G/1 Retrial Queue with FCFS
  • Demongeot, Hamie, Hansen and Rachdi: Dynalets: A New Tool for Biological Signal Processing
  • Demongeot, Ghassani, Hazgui and Rachdi: Demography in Epidemics Modelling: The Copula Approach
  • Index.