Odhad polohy nulových bodů

The main interest of this master thesis is the estimation of location of zeros of the regression function and its derivatives by the parametric and nonparametric method. The first section includes either linear and nonlinear regression model of the parametric methods. The estimators are then based o...

Full description

Bibliographic Details
Main Author: Juríček, Jozef
Other Authors: Zvára, Karel
Format: Dissertation
Language:Slovak
Published: 2006
Online Access:http://www.nusl.cz/ntk/nusl-267279
id ndltd-nusl.cz-oai-invenio.nusl.cz-267279
record_format oai_dc
spelling ndltd-nusl.cz-oai-invenio.nusl.cz-2672792017-06-27T04:37:17Z Odhad polohy nulových bodů Estimation of the Location of Zeros of Regression Functions Zvára, Karel Juríček, Jozef Hlávka, Zdeněk The main interest of this master thesis is the estimation of location of zeros of the regression function and its derivatives by the parametric and nonparametric method. The first section includes either linear and nonlinear regression model of the parametric methods. The estimators are then based on the estimates of parameters. The second part includes nonparametric regression model - kernel estimators of the regression function and its derivatives investigated by Gasser and Müller. Especially, the limit distributions of the estimators of zeros and the choice of smoothing parameter and kernel function are studied. Confidence bands for zeros of regression function and its derivatives are constructed in both sections. Models are studied with independent as well as correlated errors. This master thesis o®ers examples to particular sections that are computed with software R and also sources of some programmed functions. 2006 info:eu-repo/semantics/masterThesis http://www.nusl.cz/ntk/nusl-267279 slo info:eu-repo/semantics/restrictedAccess
collection NDLTD
language Slovak
format Dissertation
sources NDLTD
description The main interest of this master thesis is the estimation of location of zeros of the regression function and its derivatives by the parametric and nonparametric method. The first section includes either linear and nonlinear regression model of the parametric methods. The estimators are then based on the estimates of parameters. The second part includes nonparametric regression model - kernel estimators of the regression function and its derivatives investigated by Gasser and Müller. Especially, the limit distributions of the estimators of zeros and the choice of smoothing parameter and kernel function are studied. Confidence bands for zeros of regression function and its derivatives are constructed in both sections. Models are studied with independent as well as correlated errors. This master thesis o®ers examples to particular sections that are computed with software R and also sources of some programmed functions.
author2 Zvára, Karel
author_facet Zvára, Karel
Juríček, Jozef
author Juríček, Jozef
spellingShingle Juríček, Jozef
Odhad polohy nulových bodů
author_sort Juríček, Jozef
title Odhad polohy nulových bodů
title_short Odhad polohy nulových bodů
title_full Odhad polohy nulových bodů
title_fullStr Odhad polohy nulových bodů
title_full_unstemmed Odhad polohy nulových bodů
title_sort odhad polohy nulových bodů
publishDate 2006
url http://www.nusl.cz/ntk/nusl-267279
work_keys_str_mv AT juricekjozef odhadpolohynulovychbodu
AT juricekjozef estimationofthelocationofzerosofregressionfunctions
_version_ 1718466550314303488