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Estimation of erroneous enumerations in the census Math. Popul. Stud. (IF 0.586) Pub Date : 2020-12-09 Guihua Hu; Shushan Fan; Jiwei Su; Lujie Chi; Jing Zhou
ABSTRACT Erroneous enumerations in the census include multiple enumerations and other errors. The linear estimator for estimating these errors currently used in several countries leads to underestimation when the sample used for the estimation comprises few of these errors. The “ratio estimator” of the total number of erroneous enumerations overcomes this difficulty. This is the one used by China for
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World population densities: convergence, stability, or divergence? Math. Popul. Stud. (IF 0.586) Pub Date : 2020-10-07 Alessia Naccarato; Federico Benassi
ABSTRACT Taylor’s law states that the variance of population density in a given set of areas is a power function of its mean. When the exponent is equal to 2, the distribution of population densities between areas remains unchanged; when it is less than 2, the distribution converges toward the uniform distribution; when it is greater than 2, the densities become increasingly different from each other
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Estimation of the population mean by successive use of an auxiliary variable in median ranked set sampling Math. Popul. Stud. (IF 0.586) Pub Date : 2020-10-02 Usman Shahzad; Ishfaq Ahmad; Evrim Oral; Muhammad Hanif; Ibrahim Mufrah Almanjahie
ABSTRACT Median ranked set sampling is a sampling procedure used to estimate the population mean when the variable of interest is difficult or costly to measure. Two estimators for the population mean based on the minimum and maximum values of the auxiliary variable are built upon a successive use of ranks, second raw moments, and the linearly transformed auxiliary variable. The biases and the mean
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Measures of information in order statistics and their concomitants for the single iterated Farlie–Gumbel–Morgenstern bivariate distribution Math. Popul. Stud. (IF 0.586) Pub Date : 2020-07-20 Haroon M. Barakat; El-Sayed M. Nigm; Islam A. Husseiny
The Fisher information matrix related to an order statistic and its concomitant used to order a bivariate random sample are obtained in the case of the shape-parameter vector of an iterated Farlie–Gumbel–Morgenstern bivariate distribution. They contain information conveyed by singly or multiply censored bivariate samples drawn from an iterated Farlie–Gumbel–Morgenstern bivariate distribution. Fisher
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Catalytic branching random walk with semi-exponential increments Math. Popul. Stud. (IF 0.586) Pub Date : 2020-07-10 Ekaterina Vl. Bulinskaya
In a catalytic branching random walk on a multidimensional lattice, with arbitrary finite total number of catalysts, in supercritical regime, when the vector coordinates of the random walk jump are assumed independent (or close to independent) to one another and have semi-exponential distributions, a limit theorem provides the almost sure normalized locations of the particles at the boundary between
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A sex-structured model for the transmission of trichomoniasis with possible reinfection Math. Popul. Stud. (IF 0.586) Pub Date : 2020-07-02 Yibeltal Adane Terefe
Trichomoniasis is a sexually transmitted disease caused by an infection from the parasite Trichomonas vaginalis. A model of its transmission shows a backward bifurcation when the basic reproduction number R 0 is less than one. A stable disease-free equilibrium co-exists with a stable endemic equilibrium with the consequence that the disease may invade the population even when R 0 < 1 . The backward
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An efficient exponential estimator of the mean under stratified random sampling Math. Popul. Stud. (IF 0.586) Pub Date : 2020-06-16 Tolga Zaman
Stratification of population is a probability sampling design used to increase the precision of estimation. An efficient exponential ratio estimator allows estimating the population mean in stratified random sampling using an auxiliary variable. Its expected bias, expected mean square error, and minimum mean square error are expressed. The conditions for which the estimator is more efficient are obtained
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Steady states of lattice population models with immigration Math. Popul. Stud. (IF 0.586) Pub Date : 2020-06-12 Elena Chernousova; Yaqin Feng; Ostap Hryniv; Stanislav Molchanov; Joseph Whitmeyer
In a lattice population model where individuals evolve as subcritical branching random walks subject to external immigration, the cumulants are estimated and the existence of the steady state is proved. The resulting dynamics are Lyapunov stable in that their qualitative behavior does not change under suitable perturbations of the main parameters of the model. An explicit formula of the limit distribution
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Estimation of census content error Math. Popul. Stud. (IF 0.586) Pub Date : 2020-04-07 Guihua Hu; Jinpen Liao; Jianfan Peng; Ting Wu; Shushan Fan; Baohong Ye
The ratio content error estimators recommended by the United Nations Statistics Division for censuses do not cover content errors resulting from erroneous enumerations and omissions; thus they underestimate content errors. The “complete content error estimator” covers all content errors and is unbiased. It applies to any category of population.
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Improved estimation of finite population mean in two-phase sampling with subsampling of the nonrespondents Math. Popul. Stud. (IF 0.586) Pub Date : 2019-12-11 Saurav Guha; Hukum Chandra
Improved chain-ratio estimators for the population mean based on two-phase sampling are proposed when the study variable and two auxiliary variables comprise non-response. Auxiliary information is available for the first variable and not available for the second variable. Their biases and mean square errors are estimated under large sample approximation. Their efficiencies are compared with Hansen
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Methods and applications in spatial demography Math. Popul. Stud. (IF 0.586) Pub Date : 2019-11-18 Stephen A. Matthews
(2019). Methods and applications in spatial demography. Mathematical Population Studies: Vol. 26, Methods and Applications in Spatial Demography I, pp. 183-184.
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In memoriam: Jennifer Buher Kane (1979–2019) Math. Popul. Stud. (IF 0.586) Pub Date : 2019-11-18 Stephen A. Matthews
(2019). In memoriam: Jennifer Buher Kane (1979–2019) Mathematical Population Studies: Vol. 26, Methods and Applications in Spatial Demography I, pp. 185-185.
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Inference for the two-parameter exponential distribution with generalized order statistics Math. Popul. Stud. (IF 0.586) Pub Date : 2019-10-30 Magdy E. El-Adll
Inferences about estimation and prediction of the two-parameter exponential distribution are based on generalized order statistics. Point and interval estimates are used for scale and location parameters. Unbiased point predictors and reconstructors are based upon pivotal quantities. The mean square error and Pitman’s measure help assess the closeness of estimators and predictors. Point estimators
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Bayesian inference for a susceptible-exposed-infected-recovered epidemic model with data augmentation Math. Popul. Stud. (IF 0.586) Pub Date : 2019-09-09 Chouaib Beldjoudi; Tewfik Kernane; Hamid El Maroufy
ABSTRACT A Bayesian data-augmentation method allows estimating the parameters in a susceptible-exposed-infected-recovered (SEIR) epidemic model, which is formulated as a continuous-time Markov process and approximated by a diffusion process using the convergence of the master equation. The estimation was carried out with latent data points between every pair of observations simulated through the Euler-Maruyama
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Population model with immigration in continuous space Math. Popul. Stud. (IF 0.586) Pub Date : 2019-07-03 Elena Chernousova; Ostap Hryniv; Stanislav Molchanov
ABSTRACT In a population model in continuous space, individuals evolve independently as branching random walks subject to immigration. If the underlying branching mechanism is subcritical, the model has a unique steady state for each value of the immigration intensity. Convergence to the equilibrium is exponentially fast. The resulting dynamics are Lyapunov stable in that their qualitative behavior
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Improved chain-ratio type estimator for population total in double sampling Math. Popul. Stud. (IF 0.586) Pub Date : 2019-06-19 Saurav Guha; Hukum Chandra
ABSTRACT Chain-ratio estimators are often used to improve the efficiency of the estimation of the population total or the mean using two auxiliary variables, available in two different phases. An improved chain-ratio estimator for the population total based on double sampling is proposed when auxiliary information is available for the first variable and not available for the second variable. The bias
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Time to extinction and stationary distribution of a stochastic susceptible-infected-recovered-susceptible model with vaccination under Markov switching Math. Popul. Stud. (IF 0.586) Pub Date : 2019-06-17 Xiaoni Li; Xining Li; Qimin Zhang
ABSTRACT A stochastic susceptible-infected-recovered-susceptible model with vaccination includes stochastic variation in its parameters. Sufficient conditions for the extinction and the existence of the stationary distribution of the population are proved.
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Beyond household walls: the spatial structure of American extended kinship networks Math. Popul. Stud. (IF 0.586) Pub Date : 2019-05-23 Jonathan Daw, Ashton M. Verdery, Sarah E. Patterson
How far do Americans live from their close and extended kin? The answer is likely to structure the types of social, instrumental, and financial support that they are able to provide to one another. Based on the Panel Study of Income Dynamics, kin pairs vary widely in odds of household co-residence, co-residence in the same administrative units, and inter-tract distances if they do not live in the same
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Methods for big data in social sciences Math. Popul. Stud. (IF 0.586) Pub Date : 2019-05-13 Enrica Amaturo, Biagio Aragona
(2019). Methods for big data in social sciences. Mathematical Population Studies: Vol. 26, Methods for Big Data in Social Sciences, pp. 65-68.
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Bridging data exploration and modeling in event-history analysis: the supervised-component Cox regression Math. Popul. Stud. (IF 0.586) Pub Date : 2019-05-06 Xavier Bry; Théo Simac; Salah Eddine El Ghachi; Philippe Antoine
In event-history analysis with many possibly collinear regressors, Cox’s proportional hazard model, like all generalized linear models, can fail to be identified. Dimension-reduction and regularization are therefore needed. Penalty-based methods such as the ridge and the least absolute shrinkage and selection operator (LASSO) provide a regularized linear predictor, but fail to highlight the predictive
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Assessing migration through social media: a review Math. Popul. Stud. (IF 0.586) Pub Date : 2019-03-11 Alessandra Righi
Social media can be used not only for evaluating migration flows almost in real time and the degree of integration in the destination countries but also for the understanding of public opinion sentiment about immigration. Experiences based on scraping social media are reviewed, and the use of geo-located data and advertising platforms turns out to be the most promising opportunities supplied by these
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Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable Math. Popul. Stud. (IF 0.586) Pub Date : 2019-03-11 Iram Saleem, Aamir Sanaullah, Muhammad Hanif
A flexible scrambled response model using a randomization device for quantitative sensitive data is used to evaluate the protection of respondents’ privacy. A double-sampling regression-cum-exponential estimator is used to estimate the mean of a sensitive variable using the mean of a nonsensitive auxiliary variable under scrambled response. The expected bias, the expected mean square error, and the
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Triple-source estimator for estimating the net error in census coverage Math. Popul. Stud. (IF 0.586) Pub Date : 2019-03-11 Guihua Hu; Li Qi; Min Hu; Yingan Wang
The triple-source estimator avoids the correlation bias inherent in the double-source estimator, which has been a popular estimator of population size for assessing the quality of a census. The triple-source estimator relies on the census list, the quality-assessment survey list, and the administrative record list. It also provides an estimate of the net census coverage error. It is established in
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Kalman 1960: The birth of modern system theory Math. Popul. Stud. (IF 0.586) Pub Date : 2019-02-22 Pierre Bernhard, Marc Deschamps
Rudolph E. Kalman is mainly known for the Kalman filter, first published in 1960. In this year, he published two equally important contributions, one about linear state space system theory and the other about linear quadratic optimal control theory. These three domains are intertwined in the later theory of linear quadratic Gaussian control. An extended version of linear quadratic optimal control is
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Generalized functions in the qualitative study of heterogeneous populations Math. Popul. Stud. (IF 0.586) Pub Date : 2019-02-22 Natali Hritonenko, Yuri Yatsenko, Askar Boranbayev
Solutions from non-smooth functional spaces, including generalized functions and measures, often appear in optimal control theory but are avoided in applications. They are however useful in finding the optimal distribution of investments into new and old capital equipment under improving technology. The corresponding economic problem involves optimal control in a linear Lotka-McKendrik model of age-structured
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Interval estimation of quantiles and reliability in the two – parameter exponential distribution based on records Math. Popul. Stud. (IF 0.586) Pub Date : 2019-02-22 Ayman Baklizi
ABSTRACT In the estimation, using confidence intervals, of quantiles and reliability of the two – parameter exponential distribution based on record data, a pivot is defined and its exact cumulative distribution function and probability density function are computed. Confidence intervals using critical values from the cumulative distribution function of the pivot are obtained. Applications to crushed
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Calibrated Edgeworth expansions of finite population L-statistics Math. Popul. Stud. (IF 0.586) Pub Date : 2019-02-22 Andrius Čiginas; Dalius Pumputis
A short Edgeworth expansion is approximated for the distribution function of a Studentized linear combination of order statistics computed on a random sample drawn without replacement from a finite population, and using auxiliary data available for the population units. Simulations show an improvement over the usual Gaussian approximation and previous empirical Edgeworth expansions. Naive synthetic
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Efficiency and feasibility of sampling schemes in establishment surveys Math. Popul. Stud. (IF 0.586) Pub Date : 2019-02-11 Maria Michela Dickson, Anton Grafström, Diego Giuliani, Giuseppe Espa
When conducting firm-level surveys, a relevant aspect in sampling design is to guarantee that the selected sample of business units is representative of the population. Stratified sampling design is used to obtain a representative sample. However, stratification of the main characteristics of establishments may not always be computationally feasible, due to the high number of small and empty strata
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Constructions and uses of laïcité (French secularism) in French public discourses Math. Popul. Stud. (IF 0.586) Pub Date : 2019-02-11 Jeanne Prades
Discourse analysis of six actors’ political lines, their conceptions, and their uses of French secularism (laïcité) between 2013 and 2018 shows that mobilization of laïcité as a value is correlated to the construction of Islam and Muslims as objects of security in France. Perception of military and identity insecurities goes along with mobilization of laïcité as a shield-value of the French Republic
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Neighborhood affluence protects against antenatal smoking: evidence from a spatial multiple membership model. Math. Popul. Stud. (IF 0.586) Pub Date : 2019-01-15 Jennifer B Kane,Ehsan Farshchi
A spatial multiple membership model formalizes the effect of neighborhood affluence on antenatal smoking. The data are geocoded New Jersey birth certificate records linked to United States census tract-level data from 1999 to 2007. Neighborhood affluence shows significant spatial autocorrelation and local clustering. Better model fit is observed when incorporating the spatial clustering of neighborhood
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Prevalence of Left-handedness in China 2011: Small-area Estimates. Math. Popul. Stud. (IF 0.586) Pub Date : 2019-01-09 Hongwei Xu
Nationally representative survey data and small-area estimation techniques are used to assess geographic prevalence of left-handedness in China 2011. Measures of individuals' handedness are self-reported dominant hand and hand grip strength, yielding four estimates of left-handed prevalence at the provincial level. These estimates concord with one another. There are several geographic clusters of high-prevalence
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Estimation of a rare sensitive attribute in two-stage sampling using a randomized response model under Poisson distribution Math. Popul. Stud. (IF 0.586) Pub Date : 2019-01-02 Garib N. Singh; Surbhi Suman; Chandraketu Singh
Unbiased estimation procedures of the mean total number of persons with a rare sensitive attribute apply for a clustered population under two-stage and stratified two-stage sampling schemes. Randomized response model is used to obtain the estimators, when the parameter of an unrelated rare non-sensitive attribute is either known or unknown. The variances of the resultant estimators are derived and
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Survey sampling and small-area estimation Math. Popul. Stud. (IF 0.586) Pub Date : 2018-11-28 Enrico Fabrizi, Tomasz Ża̧dło
(2018). Survey sampling and small-area estimation. Mathematical Population Studies: Vol. 25, Survey sampling and small-area estimation, pp. 181-183.
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Correction Math. Popul. Stud. (IF 0.586) Pub Date : 2018-11-28
(2018). Correction. Mathematical Population Studies: Vol. 25, Survey sampling and small-area estimation, pp. 248-248.
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Termination of the ice bucket challenge Math. Popul. Stud. (IF 0.586) Pub Date : 2018-10-23 Pavel Polyakov
The ice bucket challenge is a social game aimed at encouraging donations to the amyotrophic lateral sclerosis association. The rules imply that each participant challenges each recruited follower to dump a bucket of ice water on his or her head. The network of who has nominated whom has a tree structure. The short duration of the ice bucket challenge is explained by using the reproduction number ,
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Drawn-by-drawn sampling based on neighborhood matrix Math. Popul. Stud. (IF 0.586) Pub Date : 2018-10-09 Tomasz Bąk
In drawn-by-drawn sampling, elements are drawn one after another and drawing can be stopped at any time. It leads to ordered samples. This method is convenient to obtain spatially balanced samples. However, sampling may not need to be unordered. This is the case of Wywiał sampling designs, which are based on a neighborhood matrix. Their adaptation to drawn-by-drawn sampling has the merit to be of simple
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Steady state and intermittency in the critical branching random walk with arbitrary total number of offspring Math. Popul. Stud. (IF 0.586) Pub Date : 2018-10-08 Elena Chernousova, Stanislav Molchanov
For the critical branching random walk on the lattice Zd, in the case of an arbitrary total number of produced offspring spreading on the lattice from the parental particle, the existence of a limit distribution (which corresponds to a steady state (or statistical equilibrium)) of the population is proved. If the second factorial moment of the total number of offspring is much larger than the square
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Estimation of reliability P(X > Y) for distributions with power hazard function based on upper record values Math. Popul. Stud. (IF 0.586) Pub Date : 2018-10-02 Akbar Abravesh, Masoud Ganji, Behdad Mostafaiy
For X and Y two independent random variables, upper values from the family of distributions with power hazard function are used to obtain the maximum likelihood and the Bayes estimators of P(X>Y). The Bayes estimator relies on the squared-error loss function given informative and non-informative prior distributions. It is obtained by either Lindley’s approximation, Tierney and Kadane’s method, or Monte
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Nonparametric Bayes and empirical Bayes estimation of the population median, with application in finite-population sampling Math. Popul. Stud. (IF 0.586) Pub Date : 2018-09-24 Malay Ghosh, Jiyoun Myung, Paduthol Godan Sankaran
Nonparametric Bayes and empirical Bayes estimators of the population median are provided under Dirichlet process priors. The finite-population sampling is used to estimate the finite-population median under Dirichlet process priors. The asymptotic properties of the estimators are obtained from a frequentist perspective.
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Ergodicity and extinction in a stochastic susceptible-infected-recovered-susceptible epidemic model with influence of information Math. Popul. Stud. (IF 0.586) Pub Date : 2018-09-14 Xiaojie Mu, Qimin Zhang, Han Wu, Xining Li
An epidemic model with stochastic contact transmission coefficient takes into account white noise and the influence of information. Sufficient conditions for the extinction and persistence of the disease are expressed. The existence of a stationary distribution and the ergodic property are proved. The peak of infected population can be decreased by information. The analytical results are showed by
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Composite estimator based on the recursive ratio for an arbitrary rotation scheme Math. Popul. Stud. (IF 0.586) Pub Date : 2018-09-12 Barbara Kowalczyk, Dorota Juszczak
Partial replacement of units in repeated surveys increases the efficiency of the estimation of the population mean. The composite estimator with constant coefficients, based on the recursive ratio, is useful in surveys with many variables. The mean square error of this estimator is obtained for an arbitrary rotation scheme. Comparisons indicate that it is more efficient than the sample mean for various
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Graphical goodness-of-fit test for mortality models Math. Popul. Stud. (IF 0.586) Pub Date : 2018-09-06 María Luz Gámiz, María Dolores Martinez-Miranda, Rocío Raya-Miranda
Candidate parametric mortality models are tested graphically. If the model is correct, the transformed data are distributed exponentially. The graphical test is based on scale and space inference. It involves smoothing of the hazard rate and simultaneous confidence intervals. It is applied to a frailty model used to set annuity reserves. Simulation and the comparison with other non-graphical tests
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Improving response to an establishment survey through the use of web-push data collection methods Math. Popul. Stud. (IF 0.586) Pub Date : 2018-08-07 Morgan M. Millar, Patricia Schmuhl, Kent Page, Andrea L. Genovesi, Michael Ely, Craig Hemingway, Lenora M. Olson
The web-push method has been shown to increase web response rates in general public surveys. Response rates from two waves of the Emergency Medical Services for Children Program’s Performance Measures Survey, a state-administered establishment survey, were compared to determine if the second wave's revised, centralized implementation strategy improved response rates and consistency across states. The
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Design aspects of rating scales in questionnaires Math. Popul. Stud. (IF 0.586) Pub Date : 2018-08-02 Natalja Menold, Christof Wolf, Kathrin Bogner
(2018). Design aspects of rating scales in questionnaires. Mathematical Population Studies: Vol. 25, Design Aspects of Rating Scales in Questionnaires, pp. 63-65.
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Designing response scales with multi-trait-multi-method experiments Math. Popul. Stud. (IF 0.586) Pub Date : 2018-08-02 Diana Zavala-Rojas, Raül Tormos, Wiebke Weber, Melanie Revilla
Split-ballot multi-trait-multi-method experiments are used to evaluate the quality of measurement of different response scales of survey items gauging “evaluation of government services” and “political trust.” The response scales differ by agree/disagree scales, item-specific scales, total number of categories, and the presence of fixed reference points on their constructing extreme items. The Center
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Linearity, symmetry, and equidistance in semantic differential scales for measuring images of self and images of others Math. Popul. Stud. (IF 0.586) Pub Date : 2018-08-02 Stefanie Eifler, Natalja Menold
Violations of linearity, symmetry, and equidistance of scale points in semantic differential scales may be due to respondents failing to figure out antonyms, to a positivity bias, or to respondents curtailing their reading the options. Multiple correspondence analysis on data provided by a randomized between-subjects experiment (split-ballot), using a web survey of 537 German residents, shows that
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Attitude strength moderates adverse effects to questionnaire design Math. Popul. Stud. (IF 0.586) Pub Date : 2018-08-02 Kathrin Bogner, Klaus Pforr, Natalja Menold
The presentation and visual design of the “don’t know” category in rating scales on respondents’ behavior may have ambivalent effects. The hypothesis is that attitude strength toward the topic influences the respondents’ sensitivity to the graphical design of the scale. A paper-and-pencil questionnaire conducted among 307 German university students contained an experimental variation of the presentation
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Sliders, visual analogue scales, or buttons: Influence of formats and scales in mobile and desktop surveys Math. Popul. Stud. (IF 0.586) Pub Date : 2018-08-02 Vera Toepoel, Frederik Funke
In an experiment dealing with the use of personal computer, tablet, or mobile, scale points (up to 5, 7, or 11) and response formats (bars or buttons) are varied to examine differences in mean scores and nonresponse. The total number of “not applicable” answers does not vary significantly. Personal computer has the lowest item nonresponse, followed by mobile and tablet, and a lower mean score than
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Register data in sample allocations for small-area estimation Math. Popul. Stud. (IF 0.586) Pub Date : 2018-07-27 Mauno Keto, Jussi Hakanen, Erkki Pahkinen
The inadequate control of sample sizes in surveys using stratified sampling and area estimation may occur when the overall sample size is small or auxiliary information is insufficiently used. Very small sample sizes are possible for some areas. The proposed allocation based on multi-objective optimization uses a small-area model and estimation method and semi-collected empirical data annually collected
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Knowledge discovery for inferring the usually resident population from administrative registers Math. Popul. Stud. (IF 0.586) Pub Date : 2018-07-27 Angela Chieppa, Gerardo Gallo, Valeria Tomeo, Francesco Borrelli, Stefania Di Domenico
From 2018 onward, the population census in Italy will leave the traditional “door-to-door” enumeration for a “register-based” system combining administrative data and surveys. An integrated system of registers makes it possible to identify patterns and groups among huge amounts of administrative data. The Italian National Institute of Statistics (Istat) carried out a trial to compute the usually resident
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On the estimation of the distribution of alcohol consumption Math. Popul. Stud. (IF 0.586) Pub Date : 2018-02-23 Zofia Mielecka-Kubien
The parameters of the distribution of alcohol consumption are estimated from the population mean and the mode of the log-normal distribution, separately for each sex. The lack of representativeness of the sample due to the failure to reach heavy drinkers is overcome. The distributions of alcohol consumption show a tight relationship between mean and standard deviation.
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Precarious employment among South Korean women: Insights from a comparison to France Math. Popul. Stud. (IF 0.586) Pub Date : 2018-02-23 Younga Kim
Family responsibilities for women are often associated with precarious employment. This relation varies depending on whether women can reconcile family life and work or not. Based on the Korean Labor and Income Panel Study from 1998 to 2008 and on the French part of the European Community Household Panel between 1998 and 2001, a multiple correspondence analysis shows that precariousness in employment
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Small-area estimation in the presence of area-level correlated responses Math. Popul. Stud. (IF 0.586) Pub Date : 2018-02-16 Luca Bartoli, Maria Chiara Pagliarella, Carlo Russo, Renato Salvatore
The Fay-Herriot area-level model for correlated response data is augmented with a between-groups-of-domains effect. Correlated-response parameters of small-area estimates no longer need the assumption of spatial contiguity. A simulation shows that area-level correlated-response observations increase the efficiency of the estimates, but do not reduce the biases.
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Digital archives as Big data Math. Popul. Stud. (IF 0.586) Pub Date : 2018-02-16 Luis Martinez-Uribe
Digital archives contribute to Big data. Combining social network analysis, coincidence analysis, data reduction, and visual analytics leads to better characterize topics over time, publishers’ main themes and best authors of all times, according to the British newspaper The Guardian and from the 3 million records of the British National Bibliography.
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Big data in policy making Math. Popul. Stud. (IF 0.586) Pub Date : 2018-02-15 Biagio Aragona, Rosanna De Rosa
A review of studies based on big data shows that big data advantageously complete surveys and censuses, nurture policy making, and highlight effects of a given policy in real time.
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From susceptibility to frailty in social networks: The case of obesity Math. Popul. Stud. (IF 0.586) Pub Date : 2017-12-01 Jacques Demongeot, Mariem Jelassi, Carla Taramasco
The obesity pandemic is represented by a discrete-time Hopfield Boolean network embedded in continuous-time population dynamics. The influence of the social environment passes through a system of differential equations, whereby obesity spreads by imitation of the most influential neighbors, those who have the highest centrality indices in the network. This property is called “homophily.” Susceptibility
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Expectation maximization estimates of the offspring probabilities in a class of multitype branching processes with binary family trees Math. Popul. Stud. (IF 0.586) Pub Date : 2017-12-01 Nina Daskalova
When proliferating cells are counted in several independent colonies at some time points, the maximum likelihood estimates of the parameters of the multitype branching process are obtained trough an expectation maximization algorithm. In the case of an offspring distribution governed by a Markov branching process with binary family trees, this method, relying then on a partial knowledge of the tree
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Editorial Board EOV Math. Popul. Stud. (IF 0.586) Pub Date : 2017-12-01
(2017). Editorial Board EOV. Mathematical Population Studies: Vol. 24, No. 4, pp. ebi-ebi.
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Stationary distributions in Kolmogorov-Petrovski- Piskunov-type models with an infinite number of particles Math. Popul. Stud. (IF 0.586) Pub Date : 2017-08-31 Stanislav Molchanov, Joseph Whitmeyer
A model of population dynamics in continuous time on the lattice contains the Kolmogorov-Petrovski-Piskunov equation as a special case. A limit distribution exists. The first three moments and the correlation function are expressed.
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Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes Math. Popul. Stud. (IF 0.586) Pub Date : 2017-08-31 Vera Toepoel, Hannah Emerson
Weighting techniques in web surveys based on no probability schemes are devised to correct biases due to self-selection, undercoverage, and nonresponse. In an interactive panel, 38 survey experts addressed weighting techniques and auxiliary variables in web surveys. Most of them corrected all biases jointly and applied calibration and propensity score adjustments. Although they claimed that sociodemographic
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