Matches in SemOpenAlex for { <https://semopenalex.org/work/W2186929442> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2186929442 endingPage "55" @default.
- W2186929442 startingPage "49" @default.
- W2186929442 abstract "Meteorological stations usually contain some missing data for different reasons.There are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. In this paper a blended model comprising the bivariate exponential distribution and the first-order Markov chain is introduced for estmating of missing precipitation data. In this method, the day having the missing precipitation record is marked as either wet or dry using the first-order Markov chain and randomly generated numbers. If the Markov chain model marks the day as wet, then a bivariate exponential distribution is used for estimating the magnitute of the missing precipitation datum. Application of the model to the precipitation data from Tehran Mehrabad station shows a good correlation between the statistics of the predicted precipitation data with observed ones." @default.
- W2186929442 created "2016-06-24" @default.
- W2186929442 creator A5008935517 @default.
- W2186929442 creator A5029136763 @default.
- W2186929442 date "2006-11-01" @default.
- W2186929442 modified "2023-09-26" @default.
- W2186929442 title "A blended model for estimating of missing precipitation data (Case study of Tehran - Mehrabad station)" @default.
- W2186929442 cites W1967509530 @default.
- W2186929442 cites W2038342749 @default.
- W2186929442 cites W2038917393 @default.
- W2186929442 cites W2081097085 @default.
- W2186929442 cites W2089719958 @default.
- W2186929442 cites W2175842974 @default.
- W2186929442 doi "https://doi.org/10.22059/jdesert.2006.31874" @default.
- W2186929442 hasPublicationYear "2006" @default.
- W2186929442 type Work @default.
- W2186929442 sameAs 2186929442 @default.
- W2186929442 citedByCount "0" @default.
- W2186929442 crossrefType "journal-article" @default.
- W2186929442 hasAuthorship W2186929442A5008935517 @default.
- W2186929442 hasAuthorship W2186929442A5029136763 @default.
- W2186929442 hasConcept C105795698 @default.
- W2186929442 hasConcept C107054158 @default.
- W2186929442 hasConcept C153294291 @default.
- W2186929442 hasConcept C161584116 @default.
- W2186929442 hasConcept C177384507 @default.
- W2186929442 hasConcept C205649164 @default.
- W2186929442 hasConcept C33923547 @default.
- W2186929442 hasConcept C58640448 @default.
- W2186929442 hasConcept C58754882 @default.
- W2186929442 hasConcept C64341305 @default.
- W2186929442 hasConcept C9357733 @default.
- W2186929442 hasConcept C98763669 @default.
- W2186929442 hasConceptScore W2186929442C105795698 @default.
- W2186929442 hasConceptScore W2186929442C107054158 @default.
- W2186929442 hasConceptScore W2186929442C153294291 @default.
- W2186929442 hasConceptScore W2186929442C161584116 @default.
- W2186929442 hasConceptScore W2186929442C177384507 @default.
- W2186929442 hasConceptScore W2186929442C205649164 @default.
- W2186929442 hasConceptScore W2186929442C33923547 @default.
- W2186929442 hasConceptScore W2186929442C58640448 @default.
- W2186929442 hasConceptScore W2186929442C58754882 @default.
- W2186929442 hasConceptScore W2186929442C64341305 @default.
- W2186929442 hasConceptScore W2186929442C9357733 @default.
- W2186929442 hasConceptScore W2186929442C98763669 @default.
- W2186929442 hasIssue "2" @default.
- W2186929442 hasLocation W21869294421 @default.
- W2186929442 hasOpenAccess W2186929442 @default.
- W2186929442 hasPrimaryLocation W21869294421 @default.
- W2186929442 hasRelatedWork W1028918987 @default.
- W2186929442 hasRelatedWork W1464865854 @default.
- W2186929442 hasRelatedWork W1623685757 @default.
- W2186929442 hasRelatedWork W1887515435 @default.
- W2186929442 hasRelatedWork W1988965628 @default.
- W2186929442 hasRelatedWork W2032282567 @default.
- W2186929442 hasRelatedWork W2040092009 @default.
- W2186929442 hasRelatedWork W2064820086 @default.
- W2186929442 hasRelatedWork W2067839440 @default.
- W2186929442 hasRelatedWork W2281707756 @default.
- W2186929442 hasRelatedWork W2624278122 @default.
- W2186929442 hasRelatedWork W2743616821 @default.
- W2186929442 hasRelatedWork W2758608678 @default.
- W2186929442 hasRelatedWork W2770157405 @default.
- W2186929442 hasRelatedWork W2782256209 @default.
- W2186929442 hasRelatedWork W2899764852 @default.
- W2186929442 hasRelatedWork W2901642642 @default.
- W2186929442 hasRelatedWork W2982249468 @default.
- W2186929442 hasRelatedWork W3104885902 @default.
- W2186929442 hasRelatedWork W3203924145 @default.
- W2186929442 hasVolume "11" @default.
- W2186929442 isParatext "false" @default.
- W2186929442 isRetracted "false" @default.
- W2186929442 magId "2186929442" @default.
- W2186929442 workType "article" @default.