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Fractional Lindley distribution generated by time scale theory, with application to discrete-time lifetime data Math. Popul. Stud. (IF 1.8) Pub Date : 2024-02-27 Hassan S. Bakouch, Fatemeh Gharari, Kadir Karakaya, Yunus Akdoğan
The fractional Lindley distribution is used to model the distribution of perturbations in count data regressions, which allow for dealing with widely dispersed data. It is obtained from the non-fra...
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Estimating the structure by age and sex of the US sexually active population Math. Popul. Stud. (IF 1.8) Pub Date : 2024-01-19 Carlos Bustamante Orellana, Jordan Lyerla, Aaron Martin, Fabio Milner, Elisha Smith
A model combines demographic data provided by the United States Census Bureau for 2021 with survey data on sexual activity from the Centers for Disease Control and Prevention to estimate the struct...
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Optimizing criterion for the upper limit of the signal response of brain neurons Math. Popul. Stud. (IF 1.8) Pub Date : 2023-12-05 Islam M. Elbaz, Mohamed A. Sohaly, Hamdy A. El-Metwally
In a model of signal transmission between brain neurons, the Lyapunov functions associated with the “no signal” solution are positive and have a negative derivative with respect to the response. Th...
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Optimal estimators of the population mean of a skewed distribution using auxiliary variables in median ranked-set sampling Math. Popul. Stud. (IF 1.8) Pub Date : 2023-10-05 Mohammad Hossein Zarinkolah, Hadi Jabbari, Mohammad Mehdi Saber
In an asymmetric population, individuals are concentrated toward one tail of the distribution. An estimator of the population mean in this asymmetric case is constructed on the basis of median rank...
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Estimation of the net error rate of population size in China’s household registration Math. Popul. Stud. (IF 1.8) Pub Date : 2023-09-01 Yanhua Huang, Guihua Hu, Di Wu, Renjing Zheng
A combined three-source estimator is used to estimate the net error rate of population size in household registration. It avoids the bias in the two-source estimator due to the fact that the regist...
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Inference and optimal censoring scheme for a competing-risks model with type-II progressive censoring Math. Popul. Stud. (IF 1.8) Pub Date : 2023-07-18 Yajie Tian, Yingna Liang, Wenhao Gui
For statistical inference of competing risks under type-II progressive censoring, lifetimes are modeled by an inverted exponential Rayleigh distribution, which allows the use of a non-monotonic haz...
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The population sizes of Mexican cities follow a power-law distribution Math. Popul. Stud. (IF 1.8) Pub Date : 2023-04-03 Héctor Saib Maravillo Gomez, Gilberto Calvillo Vives, Erick Treviño Aguilar
ABSTRACT Geography, for example because of the presence of rivers, ravines, or peaks, can subdivide a city. These subdivisions raise the question of identifying the area occupied by the city, of deciding whether or not they are aggregates of distinct built-up areas, and whether or not geographical separations are merely asperities in a certain continuum of built-up areas. The city as a union of administrative
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Extinction and persistence in a stochastic Nicholson’s model of blowfly population with delay and Lévy noise Math. Popul. Stud. (IF 1.8) Pub Date : 2023-02-03 Layla Basri, Driss Bouggar, Mohamed El Fatini, Mohamed El Khalifi, Aziz Laaribi
ABSTRACT Existence and uniqueness of a global positive solution are proved for a stochastic Nicholson’s equation of a blowfly population with delay and Lévy noise. The first-order moment of the solution is bounded and the mean of its second moment is finite. A threshold quantity TjTj depending on the parameters is involved in the drift, the diffusion parameter, and the magnitude and distribution of
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Daily Covid-19 infected population densities in Italian provinces follow Taylor’s law Math. Popul. Stud. (IF 1.8) Pub Date : 2023-01-05 Federico Benassi, Alessia Naccarato, Meng Xu
ABSTRACT Taylor’s law states that the spatial variance of the population density varies as the power function of the mean population density. This law is tested on daily Covid-19 infection density for five periods between February 25, 2020 and March 15, 2021. The Italian provinces are grouped by geography into three ensembles. A simultaneous-equation model accounts for correlations between the ensembles
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Bias and mean square error reduction by changing the shape of the distribution of an auxiliary variable: application to air pollution data in Nan, Thailand Math. Popul. Stud. (IF 1.8) Pub Date : 2022-12-05 Natthapat Thongsak, Nuanpan Lawson
ABSTRACT The proposed estimator of the population mean is based on a modification of the shape of the distribution of an auxiliary variable. If the theoretical correlation between the study and the auxiliary variables is less than a term that is proportional to the coefficient of variation of the auxiliary variable divided by the coefficient of variation of the study variable, then the modification
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Robust estimation of the population mean using quantile regression under systematic sampling Math. Popul. Stud. (IF 1.8) Pub Date : 2022-12-05 Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Muhammad Hanif, Ibrahim Mufrah Almanjahie
ABSTRACT Regression ratio mean estimators of a study variable Y are defined as the coefficients provided by the ordinary least-squares regression of Y on a given auxiliary variable X. They can be improved by using the coefficient of variation and the coefficient of kurtosis of X. The influence of outliers on the estimates of the population mean of Y is neutralized by calculating robust regression coefficients
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Parameter estimation for the Moore-Bilikam distribution under progressive type-II censoring, with application to failure times Math. Popul. Stud. (IF 1.8) Pub Date : 2022-12-05 Mehdi Bazyar, Einolah Deiri, Ezzatallah Baloui Jamkhaneh
ABSTRACT The Moore-Bilikam distribution is convenient for survival analysis. The estimation of its parameters and its reliability function is performed by maximum likelihood, expectation-maximization, stochastic expectation-maximization, and the Bayesian method. The data are progressively censored of type II (samples are removed randomly from the experiment). Simulation shows that the expectation-maximization
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Branching random walk in a random time-independent environment Math. Popul. Stud. (IF 1.8) Pub Date : 2022-12-02 Elena Chernousova, Ostap Hryniv, Stanislav Molchanov
ABSTRACT In a lattice population model, particles move randomly from one site to another as independent random walks, split into two offspring, or die. If duplication and mortality rates are equal and take the same value over all lattice sites, the resulting model is a critical branching random walk (characterized by a mean total number of offspring equal to 1). There exists an asymptotical statistical
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Determining the sample size of a post-enumeration survey: The case of China, 2020 Math. Popul. Stud. (IF 1.8) Pub Date : 2022-06-13 Guihua Hu, Ting Wen, Yuhuan Liu
ABSTRACT Post-enumeration surveys are used to assess the quality of censuses. To set up such a survey, the size of the sample to be surveyed must be determined. If the sample design requires several strata, the design effect, which is the ratio of the variance of the two-source estimator to the variance of the single-source estimator for a given sample size, allows an indirect calculation. Another
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Positive piecewise continuous quasi-periodic solutions to logistic impulsive differential equations Math. Popul. Stud. (IF 1.8) Pub Date : 2022-05-09 Liangping Qi, Guowei Zong
ABSTRACT To prove the existence of piecewise continuous solutions to a logistic quasi-periodic differential system with impulses (whose coefficients have rationally independent periods), this system is divided into a differential equation and a difference equation. The quasi-periodicity of a function is proved by showing that this function is the uniform limit of a series of trigonometric polynomials
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Multivariate ratio exponential estimators of the population mean under stratified double sampling Math. Popul. Stud. (IF 1.8) Pub Date : 2022-05-06 Siraj Muneer, Alamgir Khalil, Javid Shabbir
ABSTRACT To estimate the population mean when sampling a heterogeneous population and in the absence of a priori information on auxiliary variables, exponential-ratio multivariate estimators are associated under double stratified sampling with two auxiliary variables. Their biases and mean square errors are expressed and simulated. These mean square errors are smaller (the efficiencies are higher)
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Reduced oviposition period promotes blowfly population extinction in Nicholson’s model Math. Popul. Stud. (IF 1.8) Pub Date : 2022-05-04 Islam M. Elbaz
ABSTRACT Blowflies use open wounds or the accumulation of feces or urine in wool to lay their eggs. The larvae that emerge cause lesions in the host sheep, which can lead to death. They are found in Australia, New Zealand, and the United Kingdom. Nicholson’s model describes the population dynamics of the Australian blowfly (Lucilia Cuprina). It incorporates environmental variation. The extinction of
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Poisson regression-ratio estimators of the population mean under double sampling, with application to Covid-19 Math. Popul. Stud. (IF 1.8) Pub Date : 2022-05-03 Haydar Koç, Caner Tanış, Tolga Zaman
ABSTRACT Poisson regression is used to deal with count data. The Poisson regression ratio estimator of the population mean is extended from single to double sampling. This is made possible by the provision of the population mean of an auxiliary variable. The mean square errors of the proposed estimators are expressed up to the first order. Theoretical and numerical results demonstrate that the proposed
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Seasonal fluctuations of age classes, with application to South Russia, 1896-1897 Math. Popul. Stud. (IF 1.8) Pub Date : 2022-04-19 Noël Bonneuil, Elena Fursa
ABSTRACT Seasonal variations in age class sizes involve those of births and those of mortality across ages. They affect censuses and, consequently, rates involving numbers by age. As their analytical expression becomes inextricable, a simulation of aging cohorts by months of age shows that mortality oscillations for human populations are not sufficient to prevent age classes from oscillating approximately
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Imputation for estimating the population mean in the presence of nonresponse, with application to fine particle density in Bangkok Math. Popul. Stud. (IF 1.8) Pub Date : 2022-01-19 Kanisa Chodjuntug, Nuanpan Lawson
ABSTRACT Air pollution in Bangkok, Thailand, is mainly due to fine particles emitted in exhaust gases. However, many data on fine particle concentrations are missing, a fact which may bias the statistics. Exponential-type imputation minimizing the mean square error allows for estimating the missing values of these concentrations and provides an estimate with smaller mean square error of the mean concentration
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Maximum likelihood estimation of the parameters of the inverse Gaussian distribution using maximum rank set sampling with unequal samples Math. Popul. Stud. (IF 1.8) Pub Date : 2021-12-27 Shuo Wang, Wangxue Chen, Meng Chen, Yawen Zhou
ABSTRACT Maximum ranked set sampling with unequal samples is a sampling procedure used to reduce the error of ranking of observations and increase the efficiency of statistical inference. It is used for maximum likelihood estimation of the location and shape parameters of the inverse Gaussian distribution. Its asymptotic efficiency is at least 1.4 times higher than those of estimators based on simple
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Entropy-based estimation of the birth-death ratio Math. Popul. Stud. (IF 1.8) Pub Date : 2021-12-23 Igor Lazov, Petar Lazov
ABSTRACT A population is modeled by a birth-death process in a finite state space. Its stationary distribution is indexed by its birth-death ratio. A sample of values taken by the population size has an elastic sample mean (mean of the observations), an additional sample mean (mean of the logarithms of the observations transformed by a given function), and a synchronizing sample mean (combination of
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Lead toxicity in the bald eagle population of the Great Lakes region Math. Popul. Stud. (IF 1.8) Pub Date : 2021-11-30 Christine Brasic, Latimer Harris-Ward, Fabio A. Milner, Carlos Bustamante-Orellana, Jordy Cevallos-Chavez, Leon Arriola
ABSTRACT Ingestion of lead-based ammunition is one of the leading causes of the mortality of bald eagles. Their primary source is unretrieved carrion contaminated with lead from hunters’ ammunition. Lead toxicity can have serious clinical consequences, including reduced fertility and consumption. A model with ordinary differential equations describes the dynamics of available contaminated carrion and
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Keeping random walks safe from extinction and overpopulation in the presence of life-taking disasters Math. Popul. Stud. (IF 1.8) Pub Date : 2021-10-25 Branda Goncalves, Thiery E. Huillet
ABSTRACT Recurrence and transience conditions are made explicit in discrete-time Markov chain population models for which random stationary growth alternates with disastrous random life-taking events. These events either have moderate stationary magnitudes or lead to an abrupt population decline. The probability of their occurrence may or may not depend on the population size. These conditions are
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Population models of diabetes mellitus by ordinary differential equations: a review Math. Popul. Stud. (IF 1.8) Pub Date : 2021-09-30 Hanis Nasir, Auni Aslah Mat Daud
ABSTRACT Population models of diabetes using ordinary differential equations are reviewed. They are refined by incorporating non-diabetics, prediabetics, low awareness prediabetics, awareness prediabetics, and awareness programs. However, they may involve products and fractions that do not reflect what is known about reality or ignore the presence of time lags in the development of diabetes. No model
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Variance estimation based on L-moments and auxiliary information Math. Popul. Stud. (IF 1.8) Pub Date : 2021-07-26 Usman Shahzad, Ishfaq Ahmad, Ibrahim Mufrah Almanjahie, Nursel Koyuncu, Muhammad Hanif
ABSTRACT The presence of extreme values in a data set reduces the efficiency of variance estimators. L-moments are based on the ordered form of a random variable to estimate the variance of the population. The two variance estimators are used for calibration to a stratified random sampling design and relying on an auxiliary variable. The proposed estimators use the properties of L-moments, such as
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Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria Math. Popul. Stud. (IF 1.8) Pub Date : 2021-07-09 Ezra Gayawan, Olamide Seyi Orunmoluyi, Oyelola A. Adegboye
ABSTRACT Among children under five in Nigeria, in the year 2018, the prevalence of diarrhea was 13%, that of acute respiratory infections 3%, and that of stunting 37%. A shared-component model highlights geographic variations in the comorbidities of these diseases. The data are from the 2018 Nigeria Demographic and Health Survey. The majority of states in northern Nigeria presented clusters of higher
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Bayesian forecast of the basic reproduction number during the Covid-19 epidemic in Morocco and Italy Math. Popul. Stud. (IF 1.8) Pub Date : 2021-07-09 Mohamed El Fatini, Mohamed El Khalifi, Richard Gerlach, Roger Pettersson
ABSTRACT In a Covid-19 susceptible-infected-recovered-dead model with time-varying rates of transmission, recovery, and death, the parameters are constant in small time intervals. A posteriori parameters result from the Euler-Maruyama approximation for stochastic differential equations and from Bayes’ theorem. Parameter estimates and 10-day predictions are performed based on Moroccan and Italian Covid-19
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Estimated total number of second children based on three sources: the case of the city of Chengdu, Sichuan, China, for the year 2018 Math. Popul. Stud. (IF 1.8) Pub Date : 2021-07-01 Li Qi, Min Hu, Lujie Chi, Jinpen Liao
ABSTRACT The total number of registered second children may be underestimated due to repetitions, omissions, and counting errors. The three-source estimator provides a more accurate value. It is based on the household registration list, a sample survey list, and the hospital birth list. It avoids the correlation bias inherent in the estimator based on a sample survey and household registration or hospital
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Estimation of illicit drug use among high school students in the Silesian voivodship (Poland) with the use of the randomized response technique Math. Popul. Stud. (IF 1.8) Pub Date : 2021-03-24 Zofia Mielecka-Kubień, Mariusz Toniszewski
ABSTRACT The prevalence of illicit drug use among high school students living in the Silesian voivodship (Poland) is estimated using either the random response techniques of forced response design or the Liu-Chow method. Respondents answer a sensitive question only with a certain probability, thus ensuring anonymity. These methods provide correct estimates of prevalence, unlike interviews based on
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Inference on stress-strength reliability for the two-parameter exponential distribution based on generalized order statistics Math. Popul. Stud. (IF 1.8) Pub Date : 2021-03-01 Ali Akbar Jafari, Saeede Bafekri
ABSTRACT Stress-strength reliability is a measure to compare the lifetimes of two systems. It is inferred for the two-parameter exponential distribution using generalized order statistics first without constraint on the location and scale parameters, second when the scale parameters are equal. A generalized confidence interval, bootstrap confidence intervals, a Bayesian interval, and a highest posterior
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아픔이 길이 되려면: 정의로운 건강을 찾아 질병의 사회적 책임을 묻다 [When Pain Should be the Way: Social Responsibility Committed to the Pursuit of Righteous Health] Math. Popul. Stud. (IF 1.8) Pub Date : 2021-01-29 Younga Kim
(2021). 아픔이 길이 되려면: 정의로운 건강을 찾아 질병의 사회적 책임을 묻다 [When Pain Should be the Way: Social Responsibility Committed to the Pursuit of Righteous Health] Mathematical Population Studies: Vol. 28, No. 1, pp. 61-62.
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Estimation of erroneous enumerations in the census Math. Popul. Stud. (IF 1.8) 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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Estimation of erroneous enumerations in the census Math. Popul. Stud. (IF 1.8) 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 1.8) 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 1.8) 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 1.8) Pub Date : 2020-07-20 Haroon M. Barakat, El-Sayed M. Nigm, Islam A. Husseiny
ABSTRACT 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
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Catalytic branching random walk with semi-exponential increments Math. Popul. Stud. (IF 1.8) Pub Date : 2020-07-10 Ekaterina Vl. Bulinskaya
ABSTRACT 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
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A sex-structured model for the transmission of trichomoniasis with possible reinfection Math. Popul. Stud. (IF 1.8) 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...
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An efficient exponential estimator of the mean under stratified random sampling Math. Popul. Stud. (IF 1.8) 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 stratif...
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Steady states of lattice population models with immigration Math. Popul. Stud. (IF 1.8) Pub Date : 2020-06-12 Elena Chernousova, Yaqin Feng, Ostap Hryniv, Stanislav Molchanov, Joseph Whitmeyer
We consider the time evolution of the lattice subcritical Galton-Watson model with immigration. We prove Carleman type estimation for the cumulants in the simple case (binary splitting) and show the existence of a steady state. We also present the formula of the limiting distribution in a particular solvable case.
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Estimation of census content error Math. Popul. Stud. (IF 1.8) 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 unde...
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Editorial: Methods and Applications in Spatial Demography: 2. Math. Popul. Stud. (IF 1.8) Pub Date : 2020-02-11 Stephen A Matthews
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Methods and applications in spatial demography: 2 Math. Popul. Stud. (IF 1.8) Pub Date : 2020-01-02 Stephen A. Matthews
As a self-described, spatial demographer, and with a formative background in geography and planning, I am interested in substantive questions at the nexus of demography, geography, quantitative methods, and public policy. I believe that addressing contemporary substantive demographic and public policy-related questions increasingly requires an understanding of spatial concepts, data, and methods. Spatial
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Improved estimation of finite population mean in two-phase sampling with subsampling of the nonrespondents Math. Popul. Stud. (IF 1.8) 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 ...
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In memoriam: Jennifer Buher Kane (1979–2019) Math. Popul. Stud. (IF 1.8) 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 1.8) 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 para...
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Methods and applications in spatial demography Math. Popul. Stud. (IF 1.8) Pub Date : 2019-10-02 Stephen A. Matthews
The two thematic issues 26(4) and 27(1) of Mathematical Population Studies deal with “methods and applications in spatial demography.” The five articles they contain, and which are listed below, show how population studies can be informed through an integration of appropriate spatial theory, data, and methods. In the editorial to appear in the next issue, 27(1), I will provide a summary of each article
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Bayesian inference for a susceptible-exposed-infected-recovered epidemic model with data augmentation Math. Popul. Stud. (IF 1.8) 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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Connecting Continuum of Care point-in-time homeless counts to United States Census areal units Math. Popul. Stud. (IF 1.8) Pub Date : 2019-07-25 Zack W. Almquist, Nathaniel E. Helwig, Yun You
ABSTRACT In 2007, the Department of Housing and Urban Development initiated a point-in-time count of the homeless across the United States. The counts are administered by the Continuum of Care Program, which provides spatial and temporal data for the homeless population over the last decade. Unfortunately, this administrative spatial unit does not align with the more common areal units defined by the
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Population model with immigration in continuous space Math. Popul. Stud. (IF 1.8) 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 1.8) 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 1.8) 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 1.8) Pub Date : 2019-05-23 Jonathan Daw, Ashton M. Verdery, Sarah E. Patterson
ABSTRACT 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
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Spatially varying relationships between risk factors and child diarrhea in West Africa, 2008-2013 Math. Popul. Stud. (IF 1.8) Pub Date : 2019-05-21 Gillian Dunn, Glen D. Johnson, Deborah L. Balk, Grace Sembajwe
ABSTRACT Diarrhea is a major contributor to child morbidity and mortality in West Africa. Non-spatial regression and geographically weighted Poisson regression applied to data from 10 Demographic and Health Surveys conducted in West Africa from 2008 to 2013 show that water source, toilet type, mother’s education, latitude, temperature, rainfall, altitude, and population density influence the risk of
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Bridging data exploration and modeling in event-history analysis: the supervised-component Cox regression Math. Popul. Stud. (IF 1.8) Pub Date : 2019-05-06 Xavier Bry, Théo Simac, Salah Eddine El Ghachi, Philippe Antoine
ABSTRACT 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
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Methods for big data in social sciences Math. Popul. Stud. (IF 1.8) Pub Date : 2019-04-03 Enrica Amaturo, Biagio Aragona
The diffusion of digital technologies and social networks has multiplied the forms of digital data that can be employed for social research. The main two forms are native digital data, which are produced in social networks, search engines, or blogging, and digitized data, which are analog data transformed into digital (Rogers, 2013). Big data are originally produced in the Internet. They allow for
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Assessing migration through social media: a review Math. Popul. Stud. (IF 1.8) Pub Date : 2019-03-11 Alessandra Righi
ABSTRACT 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
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Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable Math. Popul. Stud. (IF 1.8) Pub Date : 2019-03-11 Iram Saleem, Aamir Sanaullah, Muhammad Hanif
ABSTRACT 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
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Triple-source estimator for estimating the net error in census coverage Math. Popul. Stud. (IF 1.8) Pub Date : 2019-03-11 Guihua Hu, Li Qi, Min Hu, Yingan Wang
ABSTRACT 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