Sentence examples for model for fertility from inspiring English sources

Using the TDIB model for fertility motivation, we have presented the participants' desires to become pregnant followed by their intentions and actions in Table 2. Of 490 women surveyed, 25 (5%) did not answer the question regarding fertility desire but fertility desire was determined for 10 of these women from the question regarding the desiring timing of future pregnancies.

Table  2 shows the final multivariate model for fertility after removal of statistically weak (p < 0.05) associations (see Methods).

Then Peristera and Kostaki [ 3] proposed another model for fertility patterns based on normal mixture model which has the following formula: (5) g (x ; c 1, c 2, μ 1, μ 2, σ 1, σ 2 )   = c 1 exp ⁡ { − (x − μ 1 σ 1 ) 2 } + c 2 exp ⁡ { − (x − μ 2 σ 2 ) 2 }.

Indeed, as Mr Yglesias notes, the best model for reducing fertility in an Islamic republic comes from Iran, which has reduced fertility spectacularly over the past 20 years, from more than four children per woman to 1.75, below the replacement rate.

A linear dose response model with stratification for fertility pattern and menopausal status resulted in the best fit of the data.

We briefly explain their proposed model as follows: at the beginning, we review the skew-normal pdf, which was studied in (6) f (x ; ξ, ω 2, α ) = 2 ω − 1 ϕ (x − ξ ω ) Φ { α (x − ξ ω ) }. Ma and Genton [ 6] showed that the skew-normal pdf is unimodal, so this model is useful for fertility patterns such as USA age-specific fertility rates (1963); compare [ 5].

The infertility network in the US, RESOLVE, could be a model for raising (in-) fertility awareness and providing support for those in need, and could facilitate dissemination of evidence of approaches to fertility management, including Traditional Chinese Medicine.

In this paper, our aim is to introduce and to fit a skew-logistic model for age-specific fertility patterns.

Section 3 is an introduction to our proposed model for age-specific fertility rates, based upon a skew-logistic probability density function.

Su et al. [ 26] reported that a common prior Bayesian model (analogous to BayesA) exhibited a greater predictive ability than a mixture prior Bayesian model (analogous to BayesB) for fertility, udder health and protein yield, but not for fat %.

The centrality of intentions to fertility behavior is found in several theoretical models of fertility decision-making.