Relevant bibliographies by topics / Population statistics

Academic literature on the topic 'Population statistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2024

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Journal articles on the topic "Population statistics"

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Verhoef, Rolf, and Dirk J. van de Kaa. "Population Registers and Population Statistics." Population Index 53, no. 4 (1987): 633. http://dx.doi.org/10.2307/3643792.

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Silver, G. "Beyond population statistics." American Journal of Public Health 85, no. 10 (October 1995): 1345–46. http://dx.doi.org/10.2105/ajph.85.10.1345.

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F., P. "B.Benjamin — Population Statistics." Population Vol. 45, no. 1 (January 1, 1990): 213–15. http://dx.doi.org/10.3917/popu.p1990.45n1.0215.

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Pumputis, Dalius, and Andrius Čiginas. "Estimation of parameters of finite population L-statistics." Nonlinear Analysis: Modelling and Control 18, no. 3 (July 25, 2013): 327–43. http://dx.doi.org/10.15388/na.18.3.14013.

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We consider the estimation of important parameters of a linear combination of order statistics (L-statistic) in a finite population, emphasizing the influence of auxiliary information on the estimation accuracy. Assuming that values of an auxiliary variable are available for all population units, we construct calibrated estimators for the variance of L-statistics and for the parameters, which define one-term Edgeworth expansions of distributions of L-statistics. The gain of the new estimators is demonstrated by the simulation study.
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Alfassa, Achmad Isya. "Bayesian Statistics for Study Population Statistics and Demography." Journal of Statistical Methods and Data Science 1, no. 1 (June 30, 2023): 17–24. http://dx.doi.org/10.31258/jsmds.v1i1.4.

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Bayesian statistics is a method that belongs to the realm of statistical science which is based on the rules of the science of chance or probability. The Bayesian method is also used in carrying out projection analysis to see a picture of future conditions. This research was conducted to show the relationship between Bayesian Statistics and Demographic and Population Statistics Studies. The results of Bayesian Statistics can be used in the study of Population Statistics and Demography to carry out analysis with previous data and to find out and predict a picture of future conditions to determine the right policies, especially in analyzing population projections, population indicators and other demographics.
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Charles-Edwards, Elin, Martin Bell, Radoslaw Panczak, and Jonathan Corcoran. "A Framework for Official Temporary Population Statistics." Journal of Official Statistics 36, no. 1 (March 1, 2020): 1–24. http://dx.doi.org/10.2478/jos-2020-0001.

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AbstractThere is considerable demand for official statistics on temporary populations to supplement statistics on resident and working populations. Progress has been slow, with temporary population statistics not part of the standard suite of measures produced by national statistical offices. This article adopts the framework for official statistics proposed by Raymer and colleagues as a guide to aspects relating to society, concepts, data, processing, outputs and validation. The article proposes a conceptual framework linking temporary population mobility, defined as a move more than one night in duration that does not entail a change in usual residence, and temporary populations. Using Australia as an example, we discuss various dimensions of temporary mobility that complicate its measurement. We then report the outcomes of a survey of user needs for temporary population statistics along with a desktop review of OECD countries to identify the best formulation of temporary population statistics, and current international practice respectively. The article concludes by proposing two related concepts for temporary populations: population present and person-time, which overcome a number of issues currently impeding progress in this area and discuss their potential implementation.
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Peter, Benjamin M. "Admixture, Population Structure, andF-Statistics." Genetics 202, no. 4 (February 8, 2016): 1485–501. http://dx.doi.org/10.1534/genetics.115.183913.

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Escudero, Carlos. "Particle statistics and population dynamics." Physica A: Statistical Mechanics and its Applications 354 (August 2005): 371–80. http://dx.doi.org/10.1016/j.physa.2005.02.021.

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Wall, Richard. "English population statistics before 1800." History of the Family 9, no. 1 (January 2004): 81–95. http://dx.doi.org/10.1016/j.hisfam.2001.10.003.

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Long, Jeffrey C. "THE ALLELIC CORRELATION STRUCTURE OF GAINJ-AND KALAM-SPEAKING PEOPLE. I. THE ESTIMATION AND INTERPRETATION OF WRIGHT'S F-STATISTICS." Genetics 112, no. 3 (March 1, 1986): 629–47. http://dx.doi.org/10.1093/genetics/112.3.629.

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ABSTRACT The internal patterning of allelic correlations in the Gainj and Kalam swidden horticulturalists of highland Papua New Guinea is examined within the context of Sewall Wright's F-statistic model. A multiallelic extension of the model is given first, and multivariate variance-component estimators for the parameters are suggested. Then, it is shown that the expectation of the F-statistic set depends on the age structure of the population and that knowledge of the population and sample age structure is critical for meaningful analysis. The array of F-statistics estimated jointly over five polymorphic enzyme loci reveals the following features of Gainj and Kalam population structure: (1) significant departures from panmictic expectations and (2) characteristics of a continuously distributed breeding population, rather than those expected for populations subdivided into demes with discrete boundaries. Finally, the F-statistics estimated for the Gainj and Kalam are briefly compared to estimates obtained from other tribal populations. It is seen that the level of differentiation observed in the Gainj and Kalam is only about one-third that observed in South American swidden horticulturalists. Consequently, some conventional wisdom regarding the interrelationship of socioecological settings and genetic structures may require reevaluation.
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Dissertations / Theses on the topic "Population statistics"

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Vallin, Simon. "Small Cohort Population Forecasting via Bayesian Learning." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209274.

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A set of distributional assumptions regarding the demographic processes of birth, death, emigration and immigration have been assembled to form a probabilistic model framework of population dynamics. This framework was summarized as a Bayesian network and Bayesian inference techniques are exploited to infer the posterior distributions of the model parameters from observed data. The birth, death and emigration processes are modelled using a hierarchical beta-binomial model from which the inference of the posterior parameter distribution was analytically tractable. The immigration process was modelled with a Poisson type regression model where posterior distribution of the parameters has to be estimated numerically. This thesis suggests an implementation of the Metropolis-Hasting algorithm for this task. Classifi cation of incomings into subpopulations of age and gender is subsequently made using a Dirichlet-multinomial hierarchic model, for which parameter inference is analytically tractable. This model framework is used to generate forecasts of demographic data, which can be validated using the observed outcomes. A key component of the Bayesian model framework used is that is estimates the full posterior distributions of demographic data, which can take into account the full amount of uncertainty when forecasting population growths.
Genom att använda en mängd av distributionella antaganden om de demografiska processerna födsel, dödsfall, utflyttning och inflyttning har vi byggt ett stokastiskt ramverk för att modellera befolkningsförändringar. Ramverket kan sammanfattas som ett Bayesianskt nätverk och för detta nätverk introduceras tekniker för att skatta parametrar i denna uppsats. Födsel, dödsfall och utflyttning modelleras av en hierarkisk beta-binomialmodell där parametrarnas posteriorifördelning kan skattas analytiskt från data. För inflyttning används en regressionsmodell av Poissontyp där parametervärdenas posteriorifördelning måste skattas numeriskt. Vi föreslår en implementation av Metropolis-Hastingsalgoritmen för detta. Klassificering av subpopulationer hos de inflyttande sker via en hierarkisk Dirichlet-multinomialmodell där parameterskattning sker analytiskt. Ramverket användes för att göra prognoser för tidigare demografisk data, vilka validerades med de faktiska utfallen. En av modellens huvudsakliga styrkor är att kunna skatta en prediktiv fördelning för demografisk data, vilket ger en mer nyanserad pronos än en enkel maximum-likelihood-skattning.
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Xi, Liqun, and 奚李群. "Estimating population size for capture-recapture/removal models with heterogeneity and auxiliary information." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29957783.

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譚玉貞 and Yuk-ching Tam. "Some practical issues in estimation based on a ranked set sample." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221683.

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尹再英 and Choi-ying Wan. "Statistical analysis for capture-recapture experiments in discrete time." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31225287.

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Follestad, Turid. "Stochastic Modelling and Simulation Based Inference of Fish Population Dynamics and Spatial Variation in Disease Risk." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-41.

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We present a non-Gaussian and non-linear state-space model for the population dynamics of cod along the Norwegian Skagerak coast, embedded in the framework of a Bayesian hierarchical model. The model takes into account both process error, representing natural variability in the dynamics of a population, and observational error, reflecting the sampling process relating the observed data to true abundances. The data set on which our study is based, consists of samples of two juvenile age-groups of cod taken by beach seine hauls at a set of sample stations within several fjords along the coast. The age-structure population dynamics model, constituting the prior of the Bayesian model, is specified in terms of the recruitment process and the processes of survival for these two juvenile age-groups and the mature population, for which we have no data. The population dynamics is specified on abundances at the fjord level, and an explicit down-scaling from the fjord level to the level of the monitored stations is included in the likelihood, modelling the sampling process relating the observed counts to the underlying fjord abundances.

We take a sampling based approach to parameter estimation using Markov chain Monte Carlo methods. The properties of the model in terms of mixing and convergence of the MCMC algorithm and explored empirically on the basis of a simulated data set, and we show how the mixing properties can be improved by re-parameterisation. Estimation of the model parameters, and not the abundances, is the primary aim of the study, and we also propose an alternative approach to the estimation of the model parameters based on the marginal posterior distribution integrating over the abundances.

Based on the estimated model we illustrate how we can simulate the release of juvenile cod, imitating an experiment conducted in the early 20th century to resolve a controversy between a fisherman and a scientist who could not agree on the effect of releasing cod larvae on the mature abundance of cod. This controversy initiated the monitoring programme generating the data used in our study.

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Guo, Yawen. "On Some Test Statistics for Testing the Population Skewness and Kurtosis: An Empirical Study." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3045.

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The purpose of this thesis is to propose some test statistics for testing the skewness and kurtosis parameters of a distribution, not limited to a normal distribution. Since a theoretical comparison is not possible, a simulation study has been conducted to compare the performance of the test statistics. We have compared both parametric methods (classical method with normality assumption) and non-parametric methods (bootstrap in Bias Corrected Standard Method, Efron’s Percentile Method, Hall’s Percentile Method and Bias Corrected Percentile Method). Our simulation results for testing the skewness parameter indicate that the power of the tests differs significantly across sample sizes, the choice of alternative hypotheses and methods we chose. For testing the kurtosis parameter, the simulation results suggested that the classical method performs well when the data are from both normal and beta distributions and bootstrap methods are useful for uniform distribution especially when the sample size is large.
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Folkvaljon, Yasin. "Predicting Gleason score upgrading and downgrading between biopsy Gleason score and prostatectomy Gleason score – A population-based cohort study." Thesis, Uppsala universitet, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197511.

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Hu, Zhengyu. "Initializing the EM Algorithm for Data Clustering and Sub-population Detection." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1431018056.

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Anderson, Barbara J., and n/a. "Something to do with community structure : the influence of sampling and analysis on measures of community structure." University of Otago. Department of Botany, 2006. http://adt.otago.ac.nz./public/adt-NZDU20070215.150836.

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Diversity indices confound two components: species richness and evenness. Community structure should therefore be evaluated by employing separate measures of the number of species and their relative abundances. However, the relative abundances of species are dependent on the abundance measure used. Although the use of biomass or productivity is recommended by theory, in practice a surrogate measure is more often used. Frequency (local or relative) and point-quadrat cover provide two objective measures of abundance which are fast, less destructive and avoid problems associated with distinguishing individuals. However, both give discrete bounded data which may further alter the relative abundances of species. These measures have a long history of use and, as the need for objective information on biodiversity becomes more pressing, their use is likely to become more widespread. Consequently, it seems appropriate to investigate the effect of these abundance measures, and the resolution at which they are used, on calculated evenness. Field, artificial and simulated data were used to investigate the effect of abundance measure and resolution on evidence for community structure. The field data consisted of seventeen sites. Sites from four vegetation types (saltmeadow, geothermal, ultramafic and high-altitude meadow) were sampled in three biogeographical regions. Most of the indices of community structure (species richness, diversity and evenness) detected differences between the different vegetation types, and different niche-apportionment models were fitted to the field data from saltmeadow and geothermal vegetation. Estimates of community structure based on local frequency and point-quadrat data differed. Local frequency tended to give higher calculated evenness; whereas point-quadrat data tended to fit to niche apportionment models where local frequency data failed. The effect of resolution on the eighteen evenness indices investigated depended on community species richness and the particular index used. The investigated evenness indices were divided into three groups (symmetric, continuous and traditional indices) based on how they ranked real and artificially constructed communities. Contrary to Smith and Wilson�s recommendation the symmetric indices E[VAR] and E[Q] proved unsuitable for use with most types of plant data. In particular, E[Q] tends to assign most communities low values and has a dubious relationship with intrinsic evenness. The continuous indices, E[MS] and E[2,1], were the indices best able to discriminate between field, artificial and simulated communities, and their use should be re-evaluated. Traditional indices used with low resolution tended to elevate the calculated evenness, especially in species-rich communities. The relativized indices, E[Hurlbert] and EO[dis], were an exception, as they were always able to attain the minimum of zero; however, they were more sensitive to changes in resolution, particularly when resolution was low. Overall, traditional indices based on Hill�s ratios, including E[1/D] (=E[2,0]), and G[2,1] gave the best performance, while the general criticism of the use of Pielou�s J� as an index of evenness was further substantiated by this study. As a final recommendation, ecologists are implored to investigate their data and the likely effects that sampling and analysis have had on the calculated values of their indices.
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Wan, Choi-ying. "Statistical analysis for capture-recapture experiments in discrete time." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22753217.

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Books on the topic "Population statistics"

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Rivers State (Nigeria). Ministry of Finance and Planning. Statistics Division., ed. Population. 4th ed. Port Harcourt, [Nigeria]: Ministry of Finance and Planning, Statistics Division, 1987.

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European Population Conference (1993 Geneva, Switzerland). European Population Conference. New York ; Geneva: United Nations, 1994.

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Population and vital statistics report. New York: United Nations, 1985.

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Canada. Citizenship and Immigration Canada. and Statistics Canada, eds. Profiles, Canadian population: Selected statistics. [Ottawa]: Statistics Canada, 1996.

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Canada. Citizenship and Immigration Canada. and Statistics Canada, eds. Profiles, Canadian population: Selected statistics. [Ottawa]: Statistics Canada, 1996.

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Population statistics of Sri Lanka. [Colombo]: Population Division, Ministry of Healthcare, Nutrition & Uva Wellassa Development, 2005.

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1935-, Varmā Vijaya, and India. Office of the Registrar General & Census Commissioner., eds. A Handbook of population statistics. [New Delhi: Office of the Registrar General & Census Commissioner, 1988.

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Makatjane, Tiisetso. Sources of population statistics in Lesotho. [Roma, Lesotho]: Demography Unit, Dept. of Statistics, National University of Lesotho, 1985.

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Publishers, New Star. China's population. Beijing: New Star Publishers, 1992.

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United Nations. Dept. of International Economic and Social Affairs. Population bulletin of the United Nations. New York: United Nations, 1991.

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Book chapters on the topic "Population statistics"

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Sibirskaya, Elena V., Lyudmila V. Oveshnikova, Lilia A. Mikheykina, and Innara R. Lyapina. "Population Statistics." In Economic Systems Analysis: Statistical Indicators, 7–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91247-9_2.

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Kpedekpo, G. M. K., and P. L. Arya. "Population Statistics." In Social and Economic Statistics for Africa, 21–50. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003470533-2.

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Mitchell, B. R. "Population." In International Historical Statistics, 1–87. London: Palgrave Macmillan UK, 1995. http://dx.doi.org/10.1007/978-1-349-24069-2_1.

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Mitchell, B. R. "Population." In International Historical Statistics, 1–88. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-14738-0_1.

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Cha, Myung Soo, and Heejin Park. "Population." In Historical Statistics of Korea, 37–75. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-15-3874-2_2.

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Benjamin, B. "Population." In Health and Vital Statistics, 15–42. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003281900-2.

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Anderson, William J. "Population Processes." In Springer Series in Statistics, 292–332. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3038-0_9.

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Buckley, James J. "Estimate p, Binomial Population." In Fuzzy Statistics, 27–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39919-3_5.

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Mitchell, B. R. "Population and Vital Statistics." In International Historical Statistics, 1–97. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-13071-9_1.

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Mitchell, B. R. "Population and Vital Statistics." In International Historical Statistics, 1–142. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-14735-9_1.

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Conference papers on the topic "Population statistics"

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Low, Wai Yee. "Population entropies estimates of proteins." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982834.

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Stuken, Tatiana, and Olga Korzhova. "Educational trajectories of Russian population." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.146.

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Rugescu, Radu D., Valentin Silivestru, and Sorin Aldea. "Natural histogram for very small population statistics." In 2008 6th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2008. http://dx.doi.org/10.1109/indin.2008.4618257.

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Gavane, Ajinkya S., and Rahul Nigam. "Stochastic population dynamics under resource constraints." In INNOVATIONS THROUGH MATHEMATICAL AND STATISTICAL RESEARCH: Proceedings of the 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016). Author(s), 2016. http://dx.doi.org/10.1063/1.4952571.

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Trnavčević, Nevena, and Aleksandar Knežević. "Methodological questions in researching the mortality of statistically variable ethnic groups in Serbia." In Population in Post-Yugoslav Countries: (Dis)Similarities and Perspectives. Institute of Social Sciences, 2024. http://dx.doi.org/10.59954/ppycdsp2024.25.

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Questions of ethnic identity in multicultural societies are of particular importance today and are reflected in various ethnostatistical and ethnodemographic studies. In addition to the population census, an equally important source of data for ethnodemographic research is the vital statistics that has been recorded in Serbia since the first half of the 19th century, but the distribution of data by nationality has only been available since the 1950s. In the post-war period, vital statistics underwent methodological changes, particularly between 1965 and 1970, when the publication of vital events by nationality was suspended, making it difficult to study the demographics of those ethnic groups that experienced negative natural increase for the first time during this period. The second problem is related to the application of subjective criteria in the ethnic declaration of vital events, which directly causes a statistical discrepancy between the declared ethnic identity of the mother at birth and the statement of the death reporter of the same person. This phenomenon is especially pronounced in statistically variable (floating) ethnic groups whose population size fluctuates due to their frequent change of attitude when stating their own ethnic identity in official statistics. Therefore, in this paper we will focus on the study of the quality of ethnostatistical data of vital statistics using the example of a comparative analysis of selected mortality indicators according to the period 1970-2020 which directly influenced the pronounced fluctuations in the dynamics of the natural movement of certain ethnic groups. This will show whether vital statistics data can be accepted and used without restriction as a quantitative basis for demographic and other research.
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Mai, The Tien, and Pierre Alquier. "Understanding the Population Structure Correction Regression." In 4th International Conference on Statistics: Theory and Applications (ICSTA'22). Avestia Publishing, 2022. http://dx.doi.org/10.11159/icsta22.114.

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Klein, Thilo, Anaïs Galdin, and El Iza Mohamedou. "An indicator for statistical literacy based on national newspaper archives." In Promoting Understanding of Statistics about Society. International Association for Statistical Education, 2016. http://dx.doi.org/10.52041/srap.16205.

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This paper develops and reports on a composite indicator for statistical literacy as part of the Busan Action Plan for Statistics (BAPS) logical framework as agreed in the 4th High Level Forum on Aid Effectiveness. The Plan’s first objective is to “fully integrate statistics into decision-making”. Statistical literacy is a prerequisite to effectively use statistics to inform decisions for planning, analysis, monitoring, and evaluation, thus increasing transparency and accountability. The statistical literacy indicator measures the use of and critical engagement with statistics in national newspapers. The target population are journalists and newspaper readers. This excludes the illiterate population and those without access to print or online media. Articles are from RSS feeds of national newspapers, primarily based on -- but not limited to -- the global news aggregator Google News.
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Du, Jingyi, Ruonan Yang, and Le Hao. "Downhole Population Statistics System Based on Deep Learning." In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2019. http://dx.doi.org/10.1109/itnec.2019.8729271.

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Ruiz, Leticia. "Statistical literacy hatching." In Statistics education for Progress: Youth and Official Statistics. International Association for Statistical Education, 2013. http://dx.doi.org/10.52041/srap.13902.

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In Mexico there are 22 million children and teenagers around 6 and 15 years old, who represent 29% of its population. The National Institute of Statistics and Geography in Mexico (INEGI) is looking forward to increase the use of statistic and geographic data in all society sectors. To achieve this goal, specially in people in the referred age, INEGI has established an agreement with the Ministry of Education, in charge of National Education for elementary and high school students, in order to include statistical and geographical information in all the available channels as text books, computer programs and videos. At the same time, INEGI offers a dedicated section in the institutional INEGI website. To close the circle, INEGI together with Aguascalientes’ Universty, developed a Statistical course, made specifically for elementary school teachers, to teach them on the large variety of information INEGI produces and how to link it with their syllabus.
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Choudhary, Ashish, Jianping Hua, Michael L. Bittner, and Edward R. Dougherty. "Classification performance on a population with contexts." In 2008 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2008. http://dx.doi.org/10.1109/gensips.2008.4555667.

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Reports on the topic "Population statistics"

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Baiqi, M., and Z. Lincheng. Non-Uniform Bounds of Normal Approximation for Finite-Population U-Statistics. Fort Belvoir, VA: Defense Technical Information Center, July 1985. http://dx.doi.org/10.21236/ada159163.

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Jdanov, Dmitri A., Rembrandt D. Scholz, and Vladimir M. Shkolnikov. Official population statistics and the Human Mortality Database estimates of populations aged 80+ in Germany and nine other European countries. Rostock: Max Planck Institute for Demographic Research, April 2005. http://dx.doi.org/10.4054/mpidr-wp-2005-010.

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Penina, Olga, Dmitri A. Jdanov, and Pavel Grigoriev. Producing reliable mortality estimates in the context of distorted population statistics: the case of Moldova. Rostock: Max Planck Institute for Demographic Research, November 2015. http://dx.doi.org/10.4054/mpidr-wp-2015-011.

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Harrison, Catherine R., and Kathleen M. Robinette. CAESAR: Summary Statistics for the Adult Population (Ages 18-65) of the United States of America. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada406674.

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Dudhia, Jimy. Evolution in Cloud Population Statistics of the MJO: From AMIE Field Observations to Global Cloud-Permitting Models. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1222461.

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Zhang, Chidong. Evolution in Cloud Population Statistics of the MJO: From AMIE Field Observations to Global Cloud-Permiting Models. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1411217.

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7

Kollias, Pavlos. Evolution in Cloud Population Statistics of the MJO: From AMIE Field Observations to Global-Cloud Permitting Models Final Report. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1343071.

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8

Shattuck, Paul T., Jessica E. Rast, Anne M. Roux, Kristy A. Anderson, Teal Benevides, Tamara Garfield, Elizabeth McGhee Hassrick, and Alice Kuo. High School Students on The Autism Spectrum. A.J. Drexel Autism Institute, March 2019. http://dx.doi.org/10.17918/nairhighschool2019.

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Abstract:
Characteristics of teens on the autism spectrum have been changing over the past decade, driving the need for updated statistics to provide a current picture of the population. This report presents updated statistics on indicators of demographics, disability, education, and health. For many of the indicators, we highlight the experiences of low income and minority youth, examining differences in functioning, health, and experiences by household income and race/ethnicity.
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Cohen, Robin, Amy Cha, Amily Terlizzi, and Michael Martinez. Health insurance coverage: Early release of estimates from the National Health Interview Survey, 2021. National Center for Health Statistics. May 2022. National Center for Health Statistics (U.S.), May 2022. http://dx.doi.org/10.15620/cdc:115983.

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10

Deng, Min. Evolution in Cloud Population Statistics of the MJO. From AMIE Field Observations to Global-Cloud Permitting Models final report Version 1. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1233850.

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