| dc.contributor.author | Mutwiri, Robert M. | |
| dc.date.accessioned | 2016-10-31T08:21:42Z | |
| dc.date.available | 2016-10-31T08:21:42Z | |
| dc.date.issued | 2016-03 | |
| dc.identifier.citation | Journal Of Humanities And Social Science (IOSR-JHSS) Volume 21, Issue 3, Ver. II PP 84-91 | en_US |
| dc.identifier.issn | 2279-0837 | |
| dc.identifier.issn | 2279-0845 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/1104 | |
| dc.description | The author would like to thank the editors and reviewers for the comments that have greatly improved my write-up.
DOI: 10.9790/0837-21030XXXXX | en_US |
| dc.description.abstract | This paper addresses the problem of monitoring the infant and child mortality from point referenced data. Indicators of the determinants of child survival based on Mosley and Chen framework are derived and used to model the spatial distribution of infant mortality. Spatial generalised linear model which assumes a Bernoulli distribution to model the indicator determinants of child survival. A smooth map of the predicted values at both sampled and the un sampled is produced. We find evidence of spatial autocorrelation in the data and the smooth map indicates the hot spot of infant mortality where more resources are needed to attain the millennium development goal four. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Infant mortality | en_US |
| dc.subject | Indicators | en_US |
| dc.subject | Geostatistics | en_US |
| dc.subject | Spatial Generalized Linear models | en_US |
| dc.subject | Bayesian Spatial Modelling | en_US |
| dc.title | Spatial Modelling and Mapping of Socio-Demographic Determinants of Infant Mortality in Kenya | en_US |
| dc.type | Article | en_US |
