The estimation of missing values in hydrological records using the EM algorithm and regression methods

 

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dc.contributor.advisor Zucchini, Walter en_ZA
dc.contributor.advisor Sparks, Ross S en_ZA
dc.contributor.author Makhuvha, Tondani en_ZA
dc.date.accessioned 2016-02-18T12:16:10Z
dc.date.available 2016-02-18T12:16:10Z
dc.date.issued 1988 en_ZA
dc.identifier.citation Makhuvha, T. 1988. The estimation of missing values in hydrological records using the EM algorithm and regression methods. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/17120
dc.description Includes bibliography. en_ZA
dc.description.abstract The objective of this thesis is to review existing methods for estimating missing values in rainfall records and to propose a number of new procedures. Two classes of methods are considered. The first is based on the theory of variable selection in regression. Here the emphasis is on finding efficient methods to identify the set of control stations which are likely to yield the best regression estimates of the missing values in the target station. The second class of methods is based on the EM algorithm, proposed by Dempster, Laird and Rubin (1977). The emphasis here is to estimate the missing values directly without first making a detailed selection of control stations. All "relevant" stations are included. This method has not previously been applied in the context of estimating missing rainfall values. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Rain and rainfall - Statistical methods en_ZA
dc.subject.other Algorithms en_ZA
dc.subject.other Regression analysis en_ZA
dc.title The estimation of missing values in hydrological records using the EM algorithm and regression methods en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Statistical Sciences en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image


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