Selecting a probability distribution for extreme rainfall series in Malaysia

Water Science and Technology

Volumn 45, Issue 2, 2002, Pages 63-68

  Zalina, M D ^a   Desa, M N M ^a   Nguyen, V T V ^a   Kassim, A H M ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Extreme rainfall; Generalised Extreme Value distribution; Goodness of fit test; Intensity duration frequency curves; L moment; Probability distribution; Probability plot correlation coefficient test

Indexed keywords

EXTRAPOLATION; PROBABILITY DISTRIBUTIONS; RAIN; RAIN GAGES;

RAINFALL SERIES;

METEOROLOGY;

RAIN;

ATMOSPHERIC MODELING; COMPARATIVE STUDY; EXTREME EVENT; RAINFALL; RAINGAUGE;

ACCURACY; COMPARATIVE STUDY; CONFERENCE PAPER; CORRELATION COEFFICIENT; ENVIRONMENTAL MONITORING; GEOGRAPHIC DISTRIBUTION; HYDROLOGY; MALAYSIA; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PARAMETER; PROBABILITY; WEATHER;

MALAYSIA; PENINSULA MALAYSIA;

EID: 0036187571     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2002.0028     Document Type: Conference Paper

References (18)

1. Assessment of flood freq. models using empirical dist. function stat
2. Towards a systematic approach to comparing distributions used in flood frequency analysis
3. Goodness-of-fit test for regional GEV flood distribution
4. On spatial and temporal properties of rainfall in Selangor, Malaysia
5. A hierarchical approach to regional flood frequency analysis
6. Estimation of moments and quantiles using censored data
7. Best fit distribution of largest available flood samples
8. Maximum likelihood estimation of the parameters and quantiles of the general extreme-value distribution from censored samples
9. Frequency analysis of extreme events
10. Recent Japanese contributions to frequency analysis and quantile and quantile lower bound estimators
11. Probability plot goodness-of-fit and skewness estimation procedures for the Pearson type 3 distribution
12. Estimation of the GEV distribution from censored samples by method of partial probability weighted moments
13. Unbiased estimation of probability weighted moments and partial probability weighted moments from systematic and historical flood information and their application to estimating the GEV distribution
14. Approximate goodness-of-fit tests of fitted generalized extreme value distributions using LH moments