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The article examines the importance of evaluating fertility data prior to estimation as utilising poor quality data leads to deriving implausible estimates of fertility.
Estimates of fertility may be flawed by certain degree of errors in reporting of ages and births.
The extent of age reporting errors in census data is moderate as evaluated as shown in the several methods applied for the four census data and therefore estimates of fertility from the census data can be derived of reasonable quality.
The types, causes and effects of errors on estimates of fertility are highlighted in demographic literature (National Research Council 2004; Schoumaker 2014; Vergauwen et al. 2015; Potter 1977; Brass 1996; Joyner et al. 2012; Cleland 1996; Spoorenberg 2014; Phillips 1999; United Nations 1983, 2004; Hill 1990; Moultrie et al. 2013).
These surveys are the Indian version of the Demographic Health Survey (DHS), and provide consistent and reliable estimates of fertility, mortality, family planning, utilization of maternal and child health care services, and other related indicators at both the national and state levels.
The 2008 EDHS report provided nationally and subnationally representative estimates of fertility.
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For each of the 27 combinations, Hurd et al. [ 13] obtained one estimate of fertility from the first batch of eggs and we used this estimate for all batches.
For n = 2,3 p ζ i = n = exp Z ni 1 + ∑ τ = 2 3 exp Z τi For the reference category; p ζ i = 1 = 1 1 + ∑ τ = 2 3 exp Z τi The widely used "Coale and Trussell P/F ratio model" indirect approach for estimating Total Fertility Rate (P/F ratio) was used to provide estimate of fertility for the women in the poorest and richest wealth quintiles.
The increase is due to changes in estimates of current fertility in some developing countries, and their impact on future fertility.
Every few years in recent history, the United Nations has recalculated its population projections after consulting with individual demography and statistics experts who provide best-guess estimates of future fertility (birth rates) and mortality (death rates).
While they found consistent estimates for fertility and mortality, results of the special DHS underestimated contraceptive rates.
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