Patching rainfall data using regression methods. 2. Comparisons of accuracy, bias and efficiency

Journal of Hydrology

Volumn 198, Issue 1-4, 1997, Pages 308-318

  Makhuvha, Tondani ^a   Pegram, Geoffrey ^b   Sparks, Ross ^c   Zucchini, Walter ^d  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

^c CSIRO   (Australia)

^d UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; HYDROLOGY; ITERATIVE METHODS; REGRESSION ANALYSIS; SET THEORY;

EXPECTATION MAXIMIZATION (EM) ALGORITHM; RAINFALL DATA PATCHING;

RAIN;

EFFICIENCY; EXPECTATION MAXIMIZATION; MISSING DATA; PATCHING; RAINFALL; REGRESSION ANALYSIS;

EID: 0031282623     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-1694(96)03283-0     Document Type: Article

References (5)

1. Dempster, A.P., Laird, N.M., Rubin, D.B., 1977. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. R. Stat. Soc. B 39, 1-38.
2. Makhuvha, T., 1988. The estimation of missing values in hydrological time records. Unpublished M.Sc. Thesis, University of Cape Town.
3. Makhuvha, T., Pegram, G, Sparks, R., Zucchini, W., 1997. Patching rainfall data using regression methods. 1. Best subset selection, EM and pseudo-EM methods: theory. J. Hydrol. 198: 289-307.
4. Pegram, G., 1997. Patching rainfall data using regression methods. 3. Grouping, patching and outlier detection. J. Hydrol. 198: 319-334.
5. Zucchini, W., Hiemstra, L.A.V., 1984. Augmenting hydrological records. Dept. of Civil Eng., Univ. of Stellenbosch, Water Research Commission Report No. 91/3/84.