ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Missing Women Estimation×Dzīvildzes analīze×
NozareGender StudiesDemogrāfija
SaimeProcess / pipelineSurvival analysis
Izcelsmes gads19901984
AutorsAmartya SenDemographic/actuarial tradition; Chiang
TipsDemographic accounting estimateAge-structured mortality estimator
PirmavotsSen, A. (1992). Missing women. BMJ, 304(6827), 587–588. DOI ↗Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2
Citi nosaukumiMissing Women, Excess Female Mortality Estimation, Sen Missing Women MethodMortality Table, Actuarial Table, Survival Table, Yaşam Tablosu
Saistītās23
KopsavilkumsMissing women estimation quantifies the number of women and girls who are absent from a population because of gender bias in mortality and, in some settings, sex-selective abortion. Introduced by economist Amartya Sen in 1990 and 1992, the method compares the observed female population (or female deaths) with the number expected under a benchmark sex ratio that would prevail absent discrimination. The resulting deficit — famously estimated at more than 100 million worldwide — is a stark demographic measure of cumulative anti-female bias.A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 1 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Missing Women Estimation · Life Table. Izgūts 2026-06-24 no https://scholargate.app/lv/compare