ROBUST ESTIMATION AND OUTLIER DETECTION IN FARM AND NONFARM INCOME - AN EMPIRICAL STUDY

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dc.contributor.authorSHIVASHANKAR KADAM, KADAM
dc.date.accessioned2016-10-27T08:43:21Z
dc.date.available2016-10-27T08:43:21Z
dc.date.issued41618
dc.description.abstractThe present study is an effort to detect outliers in farm and nonfarm income and use them in estimation for the data obtained from the Cauvery command area of Karnataka. The study area divided into three reaches as upper, mid and lower reach has data on three hundred households for each reach and this is used to detect outliers and parameters are estimated for each reach and entire study area. Outliers detected by using robust procedure based on Mahalanobis distance, resulted in 14, 16, 16 and 51 outliers for farm income considered as dependent, whereas 8, 6, 7 and 25 outliers are detected when nonfarm income is considered as dependent variable for three reaches and for entire study area, respectively. Conventional MLR method and robust regression methods like MM and LTS methods are used for estimation and comparison is made among three methods. Dependent variable farm income has significant contribution from age, education, working adults and persons employed in upper and mid reach. In lower reach only age of persons is significant. For entire study area education, family size and working adults are significantly contributing to farm income. Age, family size and farm income are significantly contributing for nonfarm income as dependent variable in upper and mid reach. In lower reach only farm income is significant. For entire study area education, persons employed and farm income significantly contribute to nonfarm income in both the methods. Finally estimates by LTS method have lesser standard errors compared to MM and MLR method.en_US
dc.identifier.otherTH-10706
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/82370
dc.language.isoenen_US
dc.publisherUniversity of Agricultural Sciences GKVK, Bangaloreen_US
dc.subAgricultural Statisticsen_US
dc.these.typeM.Sc
dc.titleROBUST ESTIMATION AND OUTLIER DETECTION IN FARM AND NONFARM INCOME - AN EMPIRICAL STUDYen_US
dc.typeThesisen_US
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