Estimation of number of ever born children using zero truncated count model: evidence from Bangladesh Demographic and Health Survey

Research output: Contribution to journal › Article (Academic Journal) › peer-review

24 Citations (Scopus)

Original language	Undefined/Unknown
Journal	Health Information Science and Systems
DOIs	https://doi.org/10.1007/s13755-018-0064-y
Publication status	Published - Dec 2019

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@article{262876d7aed946e69c19b04bf9df884c,

title = "Estimation of number of ever born children using zero truncated count model: evidence from Bangladesh Demographic and Health Survey",

author = "Humayun Kiser and Hossain, \{Md Alamgir\}",

year = "2019",

month = dec,

doi = "10.1007/s13755-018-0064-y",

language = "Undefined/Unknown",

journal = "Health Information Science and Systems",

issn = "2047-2501",

publisher = "Springer",

}

TY - JOUR

T1 - Estimation of number of ever born children using zero truncated count model: evidence from Bangladesh Demographic and Health Survey

AU - Kiser, Humayun

AU - Hossain, Md Alamgir

PY - 2019/12

Y1 - 2019/12

UR - https://doi.org/10.1007/s13755-018-0064-y

U2 - 10.1007/s13755-018-0064-y

DO - 10.1007/s13755-018-0064-y

M3 - Article (Academic Journal)

C2 - 30588293

SN - 2047-2501

JO - Health Information Science and Systems

JF - Health Information Science and Systems

ER -