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

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.

Grantor dc:publisher.institution

Department of Statistical Sciences

Year dc:date.issued

1988

Author dc:creator

• Makhuvha, Tondani

Advisors dc:contributor.advisor

• Zucchini, Walter
• Sparks, Ross S

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/17120

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/17120