Show simple item record

Charakteristiky druhého řádu bodových procesů
dc.contributor.advisorPawlas, Zbyněk
dc.creatorGupta, Archit
dc.date.accessioned2019-07-03T10:14:09Z
dc.date.available2019-07-03T10:14:09Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/20.500.11956/107216
dc.description.abstractIn this thesis we examine estimation of the K-function which is an important second-order characteristic in the theory of spatial point processes. Besides Ripley's K-function based on a spherical structuring element we also work with the multiparameter K-function where the struc- turing element is rectangular. We consider the Poisson point process model, which is the fundamental model for complete spatial randomness. We de- rive expressions for both bias and variance of the estimators. The primary goal of this thesis is the study of different edge correction methods that are available for the K-function. Using simulations we also study a few variance approximations proposed in the literature and compare them with empirical variances. 1en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleSecond-order characteristics of point processesen_US
dc.typediplomová prácecs_CZ
dcterms.created2019
dcterms.dateAccepted2019-06-12
dc.description.departmentKatedra pravděpodobnosti a matematické statistikycs_CZ
dc.description.departmentDepartment of Probability and Mathematical Statisticsen_US
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.identifier.repId194647
dc.title.translatedCharakteristiky druhého řádu bodových procesůcs_CZ
dc.contributor.refereeProkešová, Michaela
thesis.degree.nameMgr.
thesis.degree.levelnavazující magisterskécs_CZ
thesis.degree.disciplinePravděpodobnost, matematická statistika a ekonometriecs_CZ
thesis.degree.disciplineProbability, Mathematical Statistics and Econometricsen_US
thesis.degree.programMatematikacs_CZ
thesis.degree.programMathematicsen_US
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistikycs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Probability and Mathematical Statisticsen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csPravděpodobnost, matematická statistika a ekonometriecs_CZ
uk.degree-discipline.enProbability, Mathematical Statistics and Econometricsen_US
uk.degree-program.csMatematikacs_CZ
uk.degree-program.enMathematicsen_US
thesis.grade.csVelmi dobřecs_CZ
thesis.grade.enVery gooden_US
uk.abstract.enIn this thesis we examine estimation of the K-function which is an important second-order characteristic in the theory of spatial point processes. Besides Ripley's K-function based on a spherical structuring element we also work with the multiparameter K-function where the struc- turing element is rectangular. We consider the Poisson point process model, which is the fundamental model for complete spatial randomness. We de- rive expressions for both bias and variance of the estimators. The primary goal of this thesis is the study of different edge correction methods that are available for the K-function. Using simulations we also study a few variance approximations proposed in the literature and compare them with empirical variances. 1en_US
uk.file-availabilityV
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ
thesis.grade.code2


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


© 2017 Univerzita Karlova, Ústřední knihovna, Ovocný trh 560/5, 116 36 Praha 1; email: admin-repozitar [at] cuni.cz

Za dodržení všech ustanovení autorského zákona jsou zodpovědné jednotlivé složky Univerzity Karlovy. / Each constituent part of Charles University is responsible for adherence to all provisions of the copyright law.

Upozornění / Notice: Získané informace nemohou být použity k výdělečným účelům nebo vydávány za studijní, vědeckou nebo jinou tvůrčí činnost jiné osoby než autora. / Any retrieved information shall not be used for any commercial purposes or claimed as results of studying, scientific or any other creative activities of any person other than the author.

DSpace software copyright © 2002-2015  DuraSpace
Theme by 
@mire NV