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Ověření normality rozdělení některých klimatických prvků
dc.contributor.advisorHuth, Radan
dc.creatorJelínek, Petr
dc.date.accessioned2017-04-12T10:05:55Z
dc.date.available2017-04-12T10:05:55Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/20.500.11956/17278
dc.description.abstractNormality of daily temperature is often presumed in climatology. This study aims to verify the adequacy of such a model and possibly design a better one. A set of 20th century temperature data from all parts of Europe is examined. An effort is made to find out, whether regional differences in temperature distribution exist. Chapter 2 describes the preliminary trasformation of the data. In Chapter 3, several normality tests are conducted, based on both higher order statistical moments and EDF goodness-of-fit. Chapter 4 introduces finite normal mixtures, Engelman-Hartigan test and an iterative EM algorithm are applied. Chapter 5 summarizes the results.en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleNormality Testing of some Elements of Climateen_US
dc.typediplomová prácecs_CZ
dcterms.created2008
dcterms.dateAccepted2008-09-16
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.repId42201
dc.title.translatedOvěření normality rozdělení některých klimatických prvkůcs_CZ
dc.contributor.refereeAntoch, Jaromír
dc.identifier.aleph001001663
thesis.degree.nameMgr.
thesis.degree.levelmagisterskécs_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.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.csDobřecs_CZ
thesis.grade.enGooden_US
uk.abstract.enNormality of daily temperature is often presumed in climatology. This study aims to verify the adequacy of such a model and possibly design a better one. A set of 20th century temperature data from all parts of Europe is examined. An effort is made to find out, whether regional differences in temperature distribution exist. Chapter 2 describes the preliminary trasformation of the data. In Chapter 3, several normality tests are conducted, based on both higher order statistical moments and EDF goodness-of-fit. Chapter 4 introduces finite normal mixtures, Engelman-Hartigan test and an iterative EM algorithm are applied. Chapter 5 summarizes the results.en_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ


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