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

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

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

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

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

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

(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.

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

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 wh...

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 betwee...

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

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

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

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...

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...

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.

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...

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

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 ...

(2019). In memoriam: Jennifer Buher Kane (1979–2019) Mathematical Population Studies: Vol. 26, Methods and Applications in Spatial Demography I, pp. 185-185.

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...

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

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

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

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

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

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.

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

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

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

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

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

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

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

ABSTRACT 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

ABSTRACT 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

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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT Nationally representative survey data and small-area estimation techniques are used to assess the geographic prevalence of left-handedness in China 2011. Measures of individuals’ handedness are their self-reported dominant hand and their hand grip strength, which yield four estimates of left-handed prevalence, and these statistics are recorded at the provincial level. These estimates concord

ABSTRACT 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

(2018). Correction. Mathematical Population Studies: Vol. 25, Survey sampling and small-area estimation, pp. 248-248.

ABSTRACT For the critical branching random walk on the lattice , 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

This issue is devoted to survey sampling methods. It carries on a tradition of Mathematical Population Studies, after the issues guest-edited by Malay Ghosh and Tomasz Ża̧dło (2014) and Vera Toepoel and Schonlau (2017). Wright (2001) presented some major moments of the history of survey sampling. He acknowledged the pioneering work of Pierre Simon de Laplace (1878-1912; Gillispie, 1997), who estimated

ABSTRACT 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

ABSTRACT For and 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 . 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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

ABSTRACT 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.

ABSTRACT 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

Since their introduction by Thurstone (1929) and Likert (1932), rating scales have been determinant in questionnaires. A rating scale usually defines the graduations out of a continuum such as agreement, intensity, frequency, or satisfaction. Respondents evaluate questions and items by marking the appropriate category, which usually concerns personal characteristics, opinions, and behavior Parducci

ABSTRACT 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

ABSTRACT 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