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Sample Moment

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Journal Article
Demography (1975) 12 (2): 291–301.
Published: 01 May 1975
... the truncated samples. Large sample properties of the estimators are also studied. Examples using the Hutterite and the Princeton Fertility Survey data are given. 8 1 2011 © Population Association of America 1975 1975 Maximum Likelihood Estimator Moment Estimator Moment Estimate Factorial...
Journal Article
Demography (1970) 7 (3): 349–360.
Published: 01 August 1970
... samples, we here present: the covariance matrix (where defined) of the moment estimators, methods of obtaining maximum likelihood estimates and their covariance matrix, and the variances of estimates of specified moments of the fecundability of the sample. Results were obtained for three sets of data...
Journal Article
Demography (1983) 20 (3): 273–284.
Published: 01 August 1983
... Trapping Time Capture Time Sample Moment References Anderton, D. L., L. L. Bean, J. D. Willigan, and G. P. Mineau. 1982. A Macrosimulation Approach to the Investigation of the Fertility Transition. Paper presented at the American Sociological Association, September 6–10, San Francisco, California...
Journal Article
Demography (1977) 14 (1): 103–104.
Published: 01 February 1977
... = .217514. The estimates show that 24 percent of the women in the sample were not ovulating at the time of the survey. This group of women took, on an average, 4.67 years after the marriage to resume ovulation. REFERENCES Replacing the first sample moments (about origin) for M h M 2 , and M 3 gives three...
Journal Article
Demography (1983) 20 (3): 391–405.
Published: 01 August 1983
... a consistent estimate for r by correcting the instrumental variables (IV) estimator: f = rIV - pupun/Cov(d;ln;, d;) (2) where rIV is the instrumental variables estimator, Covtdln., d;) and o; are esti- mated using their sample moments, and Up (the standard deviation of the mortal- ity rate) and p...
Journal Article
Demography (1984) 21 (4): 519–536.
Published: 01 November 1984
... of children born and child deaths across women are expressed as nonlinear func- tions of the four basic parameters P, 11, A and er 2 Equating sample and population moments is not feasible in this situation since there are more equations (5) than unknowns (4). However, we can find the values of P, 11, A, (T2...
Journal Article
Demography (2009) 46 (1): 1–25.
Published: 01 February 2009
..., we adjust the entire distribution of height, then compute any summary statistics of interest. This can be contrasted with rst summarizing the distribution, then attempting ad hoc and independent adjustments of sample moments, as in the Costanzo/Istat standardization of mean height described earlier...
Journal Article
Demography (2005) 42 (3): 537–558.
Published: 01 August 2005
... distribution, but in the small-area estimation setting it is useful to think of E[g(x,9)] as an answer to the question, Ifwe select an area at random (all areas equally likely) and then select a sample from that area, what is the expected value of the function g? For conditional moments, we add subscripts...
Journal Article
Demography (2014) 51 (4): 1345–1356.
Published: 03 July 2014
...Christina Gibson-Davis Abstract To test the existence of the “magic moment” for parental marriage immediately post-birth and to inform policies that preferentially encourage biological over stepparent marriage, this study estimates the incidence and stability of maternal marriage for children born...
Journal Article
Demography (2000) 37 (2): 187–192.
Published: 01 May 2000
... moments from census data with sample-survey joint distributions (also see Qin and Lawless 1994). The availability of population counts of de- mographic events in registration-system data, combined with near-complete exposed-population counts in population cen- suses, may permit even greater scope...
Journal Article
Demography (2022) 59 (1): 207–220.
Published: 01 February 2022
... at death, denoted X , is a length-biased sample of the cohort distribution of X . Denote the number of survivors at any age x as l ( x ) , such that the cohort survivorship is l ( x )   / l ( 0 ) and the population at any moment in time has size ∫ 0 ω l...
Includes: Supplementary data
Journal Article
Demography (1995) 32 (1): 111–131.
Published: 01 February 1995
... Cross Section Data.” Unpublished manuscript. Hansen L. ( 1982 ). Large Sample Properties of Generalized Method of Moments Estimators. . Econometrica , 50 , 1029 – 54 . 10.2307/1912775 Johnston J. ( 1984 ). Econometric Methods . New York : McGraw-Hill . Joreskog K...
Journal Article
Demography (1987) 24 (3): 413–430.
Published: 01 August 1987
..., we propose a model for a bimodal distribution of amenorrhea. The following model, however, could be used with unimodal distributions simply by allowing the mixing parameter to be one and by using only one extreme value distribution. A Parametric Model Ignoring the early mode for 'the moment, the life...
Journal Article
Demography (1980) 17 (4): 429–443.
Published: 01 November 1980
... is the mean of p. If PI" and pr are small, this can be simplified to d, = Pin + P'Ui + Ei Now plim (f) = r + cov (d,uvar (d,) which must be evaluated under the as- sumption p, is random with mean p. Both var (di ) and cov (u;d,) involve moments of order greater than two, so plim (f) de- pends upon the joint...
Journal Article
Demography (1982) 19 (3): 291–299.
Published: 01 August 1982
... by its moments or by the adoption of a particular parametric form. Given a mixing distribution at time 0, f(Po) and that future movement probabilities, Ph Pz, , PT may be expressed as arbi- trary nonstationarity functions of Po, then 7T;= Modelling theEvolution of Heterogeneity in Residential Mobility...
Journal Article
Demography (1968) 5 (2): 785–799.
Published: 01 June 1968
... a fraction of induced abortions left unconfessed and 1 Prevalence is the number of cases existing at a certain moment. 2 Incidence is the number of new cases pro- duced in a period of time and/or in a group. 788 DEJfOGRAPHY which is never known. This would not constitute a serious problem, if the con- fessed...
Journal Article
Demography (2013) 50 (2): 569–589.
Published: 15 November 2012
..., and revised forecasts Observed Second Moments Estimated Parameters var( SSF i ) 836.66 16.68 (0.85) var( CSSF i ) 458.84 7.06 (0.94) var( RSSF i ) 530.84 var( e i ) 361.10 (31.70) cov( SSF i , CSSF i ) 184.61 379.23 (23.28) cov( SSF i...
Journal Article
Demography (1984) 21 (3): 423–429.
Published: 01 August 1984
...- vantage of the ordinal nature of all the variables and calculated values of tau and gamma separately for each of the four parity groups. In addition, we con- verted each of the variables to an inter- val scale by assigning equal distance between adjacent ordinal categories and computed product moment...
Journal Article
Demography (1970) 7 (3): 329–339.
Published: 01 August 1970
... DEMOGRAPHY, valurne7, number 3, August 1970 TABLE 2.-Product-moment CorreIations Be- tween Index of Favorability Toward Birth ControI and Each of Two Psychologieal and Eleven Social Predictors .Information level · · · .09 .10 .13 .22 .21 Education. · .07 .10 .11 26 .13 Newspaper exposure. · .14 .05 .04 .20...
Journal Article
Demography (1993) 30 (2): 291–296.
Published: 01 May 1993
... sample." In our sample, for example, the differences are quite modest; they range from 0 to .06, depending on the specification, and are not statistically significant. 9 For the moment, it is simply unclear whether the differences reflect a genuine behavioral effect or some idiosyncrasies of sample...