Estimation of health-related characteristics at a fine local geographic level is vital for
effective health promotion programmes, provision of better health services and population …

Big data analytics is a very fast growing research domain which embedded the combination
of computational (ie computer-intensive) and inferential (ie statisticsoriented) thinking …

Small Area Estimation and Microsimulation Modeling is the first practical handbook that
comprehensively presents modern statistical SAE methods in the framework of ultramodern …

Iterative proportional fitting (IPF) is a widely used method for spatial microsimulation. The
technique results in non-integer weights for individual rows of data. This is problematic for …

Geographic variation in digital inequality manifests as a result of a range of demographic,
attitudinal, behavioural and locational factors. To better understand this multidimensional …

Small area estimation (SAE) of survey data down to small area level has become an
increasingly widespread activity as scholars and policy-makers have sought to gain ever …

These days spatial microsimulation modelling plays a vital role in policy analysis for small
areas. Most developed countries are using these tools in ways to make knowledgeable …

A wide range of user groups from policy makers to media commentators demand ever more
spatially detailed information yet the desired data are often not available at fine spatial …

Cyber crime is a buzzword all over the world. Due to the global connectivity and online
activities it has become a global concern, not a territorial one and is spreading in a terrific …

This cross-sectional study was conducted in a central statistical subdivision (ie Tangail
district) in Bangladesh. Asample of 240 homeless children was collected from 12 different …