Obiettivo principale di questa tesi è lo sviluppo di metodi inferenziali non asintotici – in particolare test e regioni di confidenza – nell'ambito del modello di regressione nonparametrica con disegno aleatorio non–degenere e termine d’errore non–Gaussiano.The main goal of this thesis is the development of non-asymptotic inferential procedures - in particular tests and confidence regions - in the nonparametric regression model with non-degenerate random design and non-Gaussian error term
We consider construction of two-sided nonparametric confidence intervals in a smooth function model ...
In this thesis, confidence sets for different nonparametric regression problems with change-points a...
Recently, a new inferential models approach has been proposed for statistics. Specifically, this app...
In this paper we offer a unified approach to the problem of nonparametric regression on the unit int...
This paper compares two exact in probability confidence regions for the parameters of nonlinear regr...
Cette communication pr\ue9sente une technique g\ue9om\ue9triquement tr\ue8s simple en vue de la d\ue...
In this paper we offer a unified approach to the problem of nonparametric regression on the unit in...
The aim of this thesis is a comprehensive description of the properties of a nonlinear least squares...
With reference to non-differential methods proposed in statistical literature for nonlinear confiden...
summary:New curvature measures for nonlinear regression models are developed and methods of their co...
We construct honest confidence regions for a Hilbert space-valued parameter in various statistical m...
<div><p>Construction of confidence intervals or regions is an important part of statistical inferenc...
We construct honest confidence regions for a Hilbert space-valued pa-rameter in various statistical ...
In a nonparametric setting, the functional form of the relationship between the response variable an...
SIGLEBibliothek Weltwirtschaft Kiel C 158760 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tech...
We consider construction of two-sided nonparametric confidence intervals in a smooth function model ...
In this thesis, confidence sets for different nonparametric regression problems with change-points a...
Recently, a new inferential models approach has been proposed for statistics. Specifically, this app...
In this paper we offer a unified approach to the problem of nonparametric regression on the unit int...
This paper compares two exact in probability confidence regions for the parameters of nonlinear regr...
Cette communication pr\ue9sente une technique g\ue9om\ue9triquement tr\ue8s simple en vue de la d\ue...
In this paper we offer a unified approach to the problem of nonparametric regression on the unit in...
The aim of this thesis is a comprehensive description of the properties of a nonlinear least squares...
With reference to non-differential methods proposed in statistical literature for nonlinear confiden...
summary:New curvature measures for nonlinear regression models are developed and methods of their co...
We construct honest confidence regions for a Hilbert space-valued parameter in various statistical m...
<div><p>Construction of confidence intervals or regions is an important part of statistical inferenc...
We construct honest confidence regions for a Hilbert space-valued pa-rameter in various statistical ...
In a nonparametric setting, the functional form of the relationship between the response variable an...
SIGLEBibliothek Weltwirtschaft Kiel C 158760 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Tech...
We consider construction of two-sided nonparametric confidence intervals in a smooth function model ...
In this thesis, confidence sets for different nonparametric regression problems with change-points a...
Recently, a new inferential models approach has been proposed for statistics. Specifically, this app...