Academic literature on the topic 'A Population'

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Journal articles on the topic "A Population"

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Yarasheva, Aziza V., and Natalia V. Alikperova. "Gender differences in financial behavior of population." POPULATION 23, no. 2 (2020): 51–60. http://dx.doi.org/10.19181/population.2020.23.2.5.

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The article analyzes various studies in the field of population behavior in the financial market. Since psychological factors related to mentality, temperament, and risk-taking play an important role in implementing financial strategies, along with rational motives, women and men may behave differently. An attempt is made to answer the question: whether there are significant gender differences in financial behavior models, and whether this aspect requires a close attention of scientists who study trends and features of forming strategies of Russians when making economic decisions. A review of Russian and foreign studies aimed at investigation of gender characteristics of investment behavior and financial literacy is performed. Traditionally, in most families, men are responsible for the financial situation, they are more concerned with providing for their family, earning and multiplying money. Women, as a rule, are more concerned with the «inner» side of family life — so that everyone is fed, dressed, shod, and provided with everything necessary. Therefore, if both of them have decided to invest, the emphasis in the well-known formula «save and multiply» is made by men on the second word, and by women — on the first. As a result, women are significantly less likely to take risks and more likely to make profitable transactions. Men are more prone to take risks, for them it is not so much the result of investment that is important, as the excitement, and work in the financial markets is somewhat akin to hunting. Probably there are some primitive triggers at the level of the subconscious that are blocked by the norms of morality and etiquette in society. For women, stability is much more important, and the desire to maintain a sense of security prevails rather than a thirst for risk. The study revealed poor elaboration of this topic, lack of Russian research on gender-specific financial behavior due to the underdevelopment of the Russian financial market, as well as the lack of sufficient supply of financial instruments for further accumulation of experience in implementing their strategies by representatives of both genders.
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Laporte, Valérie, and Brian Charlesworth. "Effective Population Size and Population Subdivision in Demographically Structured Populations." Genetics 162, no. 1 (September 1, 2002): 501–19. http://dx.doi.org/10.1093/genetics/162.1.501.

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AbstractA fast-timescale approximation is applied to the coalescent process in a single population, which is demographically structured by sex and/or age. This provides a general expression for the probability that a pair of alleles sampled from the population coalesce in the previous time interval. The effective population size is defined as the reciprocal of twice the product of generation time and the coalescence probability. Biologically explicit formulas for effective population size with discrete generations and separate sexes are derived for a variety of different modes of inheritance. The method is also applied to a nuclear gene in a population of partially self-fertilizing hermaphrodites. The effects of population subdivision on a demographically structured population are analyzed, using a matrix of net rates of movement of genes between different local populations. This involves weighting the migration probabilities of individuals of a given age/sex class by the contribution of this class to the leading left eigenvector of the matrix describing the movements of genes between age/sex classes. The effects of sex-specific migration and nonrandom distributions of offspring number on levels of genetic variability and among-population differentiation are described for different modes of inheritance in an island model. Data on DNA sequence variability in human and plant populations are discussed in the light of the results.
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Степанов, В. А. "Population Genomics of Russian populations." Nauchno-prakticheskii zhurnal «Medicinskaia genetika», no. 7(216) (July 30, 2020): 6–7. http://dx.doi.org/10.25557/2073-7998.2020.07.6-7.

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Популяционная геномика человека является мощным современным подходом в популяционной генетике, базирующемся на технологиях геномного секвенирования, биоинформатики и анализа больших данных. Геномный анализ генетической вариабельности в популяциях является фундаментальной основой генетики болезней и разработки путей их диагностики, терапии и профилактики. В работе представлены собственные данные о геномном анализе генетического разнообразия населения России. Показано, что генофонд современных народов России формировался на протяжении многих тысяч лет в ходе совокупного влияния миграций, изоляции расстоянием, эффектов основателя и естественного отбора. Сформировавшиеся в ходе микроэволюции геномные паттерны современных популяций в существенной мере определяют композицию генетических факторов как частых хронических, так и редких моногенных заболеваний. Human population genomics is a powerful modern approach in population genetics based on technologies of genomic sequencing, bioinformatics, and big data analysis. Genomic analysis of genetic variability in populations is a fundamental basis for the genetics of diseases and the development of ways for their diagnosis, therapy and prevention. The work presents the own data on the genomic analysis of the genetic diversity of the Russian populations. It is shown that the gene pool of modern populations of Russia was formed over many thousands of years by the combined effects of migrations, isolation by distance, founder effects and natural selection. The genomic patterns of modern populations formed during microevolution substantially determine the composition of genetic factors of both frequent chronic and rare monogenic diseases.
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Tyner, James A. "Population geography I: Surplus populations." Progress in Human Geography 37, no. 5 (January 31, 2013): 701–11. http://dx.doi.org/10.1177/0309132512473924.

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Yarasheva, Aziza V., Svetlana V. Makar, and Yury A. Simagin. "Behavioral economy: population in the credit services market." POPULATION 23, no. 3 (2020): 48–58. http://dx.doi.org/10.19181/population.2020.23.3.5.

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The article discusses topical issues related to the current trends in the field of lending to population in Russia. The purpose of the work is to identify possible risks of individuals' actions in the market of credit services on the basis of analysis of statistical and sociological data. Based on the general scientific dialectic approaches used by the authors, the article shows dynamics of growth in the banks' loan portfolio, growth in lending volumes (banks and microfinance organizations), as well as households' debt from 2013 to 2019 in rubles and foreign currency (in general and in mortgages). Russian macro-regions are ranked by absolute indicator of debt and by its growth rate. Opportunities and risks have been identified for borrowers wishing to take advantage of the benefits provided by the State effective from April 2020 (refinancing, credit holidays). There were assessed the measures applied by the State, in particular, credit holidays for individuals and restrictions for banks in issuing loans through introduction of a mandatory debt load indicator, which will contribute to improvement of the current situation with huge debt and to reduction of social risks. Although in the long run — in terms of the overall impact on the country's economy — a reduction in public borrowing may reduce the contribution of consumer credit to economic growth and slow it down. It is concluded that despite the measures taken by the State, the existing level of the population borrowing is a great danger due to the reduction of income as the economic consequence of the coronavirus pandemic.
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Migranova, Lyudmila, and Vladislav Zharomsky. "Methods of estimating the Level and differentiation of population income." Population 23, no. 4 (December 19, 2020): 26–39. http://dx.doi.org/10.19181/population.2020.23.4.3.

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On the basis of data for 2013-2017, the article shows changes in the level, structure and differentiation of the Russian population monetary income after the introduction by Rosstat in 2018 of a new methodology for calculating macro-economic indicators of population monetary income by separate income sources. Comparative analysis of the calculations made by the 1996 and 2018 methods shows significant changes only in the structure of population monetary income, mainly in such income items as work remuneration of employees and other cash receipts. Average per capita income changed slightly (+/-1%). Besides, there are actually no changes in the indicators of differentiation and in the distribution series for population by income despite the fact that the estimation of population inequality was made using the data from the Sample Survey of Population Income (SSPI) instead of the Household Budget Survey (HBS) used before. Based on the data from the Sample Survey of Population Income for 2013-2017, the article shows the relationship between the indicators of wage differentiation and per capita monetary income that differ from the official data, and in our opinion, this is due not only to different information sources, but also to the methods of income inequality estimation for the total population. The article provides variants of calculating differentiation of the RF population monetary income for 2018 using logarithmic normal model with similar per capita monetary income of the total population and different number of the population with per capita income within the range of the set minimum income. As a result, the R/P10% ratio of the RF population income increases in comparison with the officially published indicators of inequality.
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Ryumina, Elena V. "Ecologically adjusted human development index." POPULATION 23, no. 1 (2020): 4–12. http://dx.doi.org/10.19181/population.2020.23.1.1.

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The article offeres an approach to including ecological factor in the Human Development Index (HDI). HDI is aimed at reflecting the quality of life of population, which is defined along with other important characteristics and state of environment. However, there is still no ecological living conditions of population in the formalized representation of HDI. Two directions of constructing ecologically adjusted HDI are developed: introducing ecological index to HDR, and using ecologically adjusted GDP/GRP in income index. Ecological index reflecting the state of environment in the places of residence and recreation of population is constructed on the basis of indicators of the number of air/water samples exceeding the ambient standards, as a percentage of the total number of examined samples. This indicator is presented in the annex to the statistical handbook «Environment Protection in Russia» for all regions. It is offered to modify the index of income in HDI by subtraction of the economic damage caused by pollution from income, as this part of income does not go to growth of the population welfare, but only compensates for the damage. For implementation of this approach there is no official statistics, and in the study was used the database accumulated by the author over many years of ecological-economic research. As a result, there was calculated ecologically adjusted HDI for all 85 regions in comparison with the traditional HDI. In 14 regions with the best ecological situation the HDI value grew, in the others it decreased. Some of the regions formerly leading by the HDI value lost their positions. Comparing the impact on HDI of ecological index on the one hand, and of modifications of income index on the other, showed an incomparably greater role of the introduction of ecological index.
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Varshavsky, Alexander E., Natalia A. Vinokurova, and Ekaterina V. Kochetkova. "Scientists' ideas about what professions are the most suitable for their children and grandchildren." POPULATION 23, no. 1 (2020): 119–34. http://dx.doi.org/10.19181/population.2020.23.1.10.

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The article presents results of the survey of science and education employees. The main questions of the study were about what field of work the experts would advise their children and grandchildren to choose, and which of these fields would be most relevant (promising) for the younger generation in 5, 10, 15 and 20 years, and, in case of choosing science or engineering, which of the new specialties they would advise them and which research area would be relevant also in 5, 10, 15 and 20 years. The results of the survey showed that respondents prefer that their children and grandchildren would choose to work in the fields of science, healthcare, education, culture and art, although quite a large part of the answers indicate that they would also prefer their children to choose engineering. At the same time, financial activity took one of the last places, ahead only of trade and agriculture. The experts' answers were examined in different aspects — gender, territorial, etc. The chosen priorities reflect the respondents' hopes for triumph of justice and establishment of public understanding of the role of science, as they substantiate their answers by claiming that doing scientific research means the opportunity to benefit their country, as well as chosing culture, art, education, and armed forces as the fields of the future activity. The article points to a fairly high level of discrepancy between the preferences of those working in science, education and culture, on the one hand, and the opinions of the population as a whole, on the other.
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Katkova, Irina P. "Russian healthcare in the context of achieving universal access to health services by 2030." POPULATION 23, no. 1 (2020): 135–47. http://dx.doi.org/10.19181/population.2020.23.1.11.

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The article presents the results of an analysis of data from global monitoring systems and international studies for the period 2000-2017, reflecting the trends in our country's movement towards universal health coverage (UHC) and a reduction in catastrophic medical expenses paid by patients from their own funds within the framework of the tasks for achieving the Sustainable Development Goals by 2030. It is emphasized that for our country it is of great interest to adapt the successful experience of developed and actively developing countries in using targeted integrated strategies for development of UHC programs aimed at giving priority to health in the system of public financing measures. This is confirmed by the data that for the period 2000-2017 against the background of an increase in the share of replacing the missing state funds with cash funds of citizens in the total health budget of our country from 30% to 40%, there was a parallel increase in the number of households, in the structure of the budgets of which the share of health expenditures exceeded 10% of their total financial resources. According to the analysis of monitoring data, the increase in the number of Russian families with this form of catastrophic costs of medical care reached in 2018 the number of 7,532,579 cases with a prevalence rate of 5.23%. These indicators are higher than the data levels for 1997 by more than 2.2 and 2.1 times, respectively. At the same time, the risk of financial catastrophe for families due to the need to seek surgical care in 2018 was noted in 21.3% of cases (WB, 2019). The study emphasizes the importance of scientific assessment of the consequences and prospects for the increased participation of private commercial institutions in implementation of the government program of the State guarantees of free medical assistance to citizens. The significance of such a study is due to the trends of increasing volume of the market for provision of disparate medical services and the need, therefore, to develop optimal intersectoral strategic approaches to development of both the public healthcare system and commercial medicine in the interests of ensuring health and well-being of the population.
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Burdastova, Yulia V. "Mentoring in healthcare: trend or necessity?" POPULATION 23, no. 1 (2020): 148–54. http://dx.doi.org/10.19181/population.2020.23.1.12.

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The article attempts to assess the necessity for a mentoring system in medical institutions in Moscow. It presents the results of a sociological study, conducted in 2019, which include the analysis of expert interviews (among the experts were heads of the medical institutions subordinate to Moscow Department of Health, institutions of secondary vocational education, additional vocational training, and relating higher educational institutions). Starting with consideration of the issues concerning the attitude of experts to the topic of mentoring, the author identified the need to introduce mentoring in medical institutions, as well as the conditions for organization of effective functioning of the mentoring system, such as choosing a mentor, encouraging him, the timing of mentoring, etc. The author emphasizes that the institution of mentoring is necessary both to help new employees adapt and to help young professionals gain practical skills. According to experts, there is a gap between basic theoretical training and practical experience of young employees, which can be filled with the help of a mentoring system in medical organizations. Analyzing the expert interviews, the author comes to the conclusion that due to the lack of a legal basis for the mentoring system inRussia, it should be said that mentoring is proactive. This article also provides a review of international experience, recommendations of international organizations concerning the personnel crisis in medicine, and the main problems of the world health systems hampering achievement of the millennium goals and economic growth. Among the main barriers highlighted by WHO are the following: lack of medical personnel, uneven geographical distribution of medical workers, lack of access to medical services among the population, poor quality of medical care, etc.
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Dissertations / Theses on the topic "A Population"

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Koegler, Xavier. "Population protocols, games and large populations." Paris 7, 2012. http://www.theses.fr/2012PA077132.

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Le modèle des populations protocols a été proposé pour capturer les spécificités de réseaux opportunistes constitués d'une population d'agents mobiles à la mémoire limitée capables de communications sans fil par paires. L'objet de cette thèse est d'étendre la compréhension et l'analyse des population protocols ainsi que leurs liens avec d'autres modèles de dynamiques de populations. La première contribution de cette thèse est l'étude de la traduction en terme de protocoles de population de la dynamique d'une population d'agents jouant à un jeu de manière répétée les uns contre les autres et adaptant leur stratégie selon le comportement de PAVLOV. Nous montrons que les protocoles issus de tels jeux sont aussi puissants que les protocoles de population généraux. La deuxième contribution consiste à étudier des hypothèse de symétrie dans les jeux et dans les transitions d'un protocole de population, pour montrer que, si les protocoles de population symétriques sont équivalents aux protocoles généraux, les jeux symétriques sont, eux, significativement moins puissants. La troisième contribution est de montrer comment étudier le comportement d'une protocole de population lorsque la taille de la population tend vers l'infini en approchant la dynamique résultante à l'aide d'une équation différentielle ordinaire et de définir un calcul par grande population comme la convergence de cette équation différentielle vers un équilibre stable. La quatrième et dernière contribution de la thèse est la caractérisation des nombres calculables en ce sens comme étant très exactement les réels algébriques des [0,1]
Population protocols were introduced to capture the specifies of opportunistic networks of tny mobile agents with limited memory and capable of wireless communication in pairs. This thesis aims at extending the understanding and analysis of population protocols as well as their links to other models of population dynamics including ones from game theory. The first contribution of this thesis is to translate in terms of population protocols the dynamics of a population of agents playing a game repeatedly against each-other and adapting their strategy according to the PAVLOV behaviour. We show that protocols born from games are exactly as powerful as general population protocols. The second contribution consists in the study of the impact of symmetry on games and in the transitions of a population protocol to show that, if symmetric population protocols are equivalent to general protocols, symmetric games are significantly less powerful. The third contribution is to show how the dynamic of a population protocol can be approximated by an ordinary differential equation when the population grows to infinity. We then define a computation by a large population to be the convergence of this differential equation to a stable equilibrium. The fourth and final contribution of this thesis is the characterisation of the numbers computable in the above sense as exactly the algebraic real numbers in [0,1]
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Lundy, Ian J. "Theoretical population genetics of spatially structured populations /." Title page, contents and summary only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phl962.pdf.

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Martien, Karen Kay Fear. "Conservation of spatially structured populations : lessons from population genetics /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9979969.

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Gagnon, Nicolas. "Mesure et analyse de l'effet fondateur dans les populations de Charlevoix et du Bas-Saint-Laurent." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 1998. http://theses.uqac.ca.

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Self, Eric C. "Population analysis a methodology for understanding populations in COIN environments." Thesis, Monterey, California. Naval Postgraduate School, 2008. http://hdl.handle.net/10945/3810.

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This thesis outlines a methodology for use by tactical operators to better understand the dynamics of the population whose support they are attempting to gain. In turn, these operators (Army soldiers, Marines, Special Forces, SEALs, Civil Affairs, etc.) can use this information to more effectively develop strategy, plan operations, and conduct tactical missions. Our methodology provides a heuristic model, called the "3 x 5 P.I.G.S.P.E.E.R. Model," that can be applied in any environment and will help bridge the gap between strategic theory and tactical implementation. We believe that our methodology can be utilized to increase the operator's understanding of the environment, and improve both non-kinetic and kinetic combat operations. As a counterinsurgency (COIN) force progresses from kinetic combat operations (those attempting to gain a security foothold in a non-permissive environment) to operations focused on gaining the support of the population, our methodology will aid in collecting human intelligence (HUMINT). Our methodology shows that by providing security, working through locals, building trust and cooperation, and identifying opportunities to leverage the local populace's needs, COIN forces will be able to handle their own security.
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Burke, Mark C. Self Eric C. "Population analysis a methodology for understanding populations in COIN environments /." Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FBurkeM.pdf.

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Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, December 2008.
Thesis Advisor(s): Gregg, Heather. "December 2008." Description based on title screen as viewed on January 30, 2009. Includes bibliographical references (p. 71-74). Also available in print.
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Grillenberger, Bernd K. "Biogeography, population genetics and mating systems of natural Nasonia populations." [S.l. : Groningen : s.n. ; University Library Groningen] [Host], 2009. http://irs.ub.rug.nl/ppn/317.

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Cole-Showers, Curtis Lanre. "Population structure and demographics in Nigerian populations utilizing Y-chromosome markers." University of the Western Cape, 2014. http://hdl.handle.net/11394/5326.

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Philosophiae Doctor - PhD
Nigeria is peopled by ethnically and linguistically diverse populations of which little were known until the last few millennial. The absence of major natural geographical barrier increases the possibility of the populations being affected by the same demographic events. The aim of this thesis was to ascertain the genetic variations and demographics in five major Nigerian populations using Y-markers. This was done by determining the genetic structures of the Afro-asiatic speaking Hausa (n=78) of Northern Nigeria and the Niger Congo speaking populations of Igbo (n=119), Yoruba (n=238), Bini (n=13) and Ijaw (n=15) of Southern Nigeria all spread over 22 geographical origins and four (North, South east, south west and South south) geographical regions. They were compared with more than 2000 individuals from 46 populations of 20 other African and Middle Eastern countries, in published literature. The Scientific Working Group on DNA Analysis Methods (SWGDAM) recommended Y-Short Tandem Repeats (STRs) and nine Y-Single Nucleotide Polymorphisms (SNPs) haplogroups were typed with multiplex Polymerase Chain Reaction (PCR), Restriction Fragment Length Polymorphisms (RFLP) and High Resolution Melting (HRM). Summary statistics and measures of diversity were determined. Population structure was assessed with Population Pairwise Differences, hierarchical Analysis of Molecular Variance, Multidimensional scaling and correspondence analysis plots. Mantel’s test was used to assess the correlation of genetic distances with geographic distances. Demographic inferences were assessed with lineage based Network reconstruction, Spatial autocorrelation plots, effective migrants per population and both Inter and Intra-lineages Times to the Most Recent Common Ancestor (TMRCA). The patterns of diversity of the Y-markers showed a North-South gradient and a notable sub-structure among the Hausa populations. The Niger-Congo speakers displayed rare presence of haplogroups R and E1b1b but a preponderance of E1b1a7. Overall, the Y markers showed high diversities and significant genetic sub-structure within the Hausa populations of Nigeria with stronger linguistic than geographical bias. The demographic evaluations gave credence for genetic validation of both historical records and archeological findings among these Nigerian populations. These populations showed stronger affiliations with other sub-Saharan African populations rather than with North African or Middle Eastern populations, lacking evidence for the Middle Eastern origins of the male founders of these populations. Finally, the contribution of these Nigerian dataset would greatly enhance the Africa meta-population on the YHRD with more than 274 new haplotypes of forensic estimation significance.
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McRae, Allan F. "Quantitative and population genetic analyses of domesticated and wild sheep populations." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/15362.

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In Chapter 2, a directed linkage scam for loci involved in body weight and carcass composition traits is performed in a commercial Charollais sheep population. Five chromosomes were investigated based on prior evidence for major genes effecting the studied traits in other breeds. A maximum likelihood variance component analysis using identity-by-descent values estimated by Markov chain Monte Carlo methods was performed on a complex pedigree containing a total of 570 sheep. Of the total of nine QTL detected, the estimated position of only one overlapped with the regions showing major genes that were used in chromosome selection. During the analysis of the Charollais sheep population, a region of the genome showing a significant deviation from the published sheep linkage map was detected. This region is examined in more detail in Chapter 3, with the addition of further microsatellite markers as well as the investigation of this region in two further sheep breeds. With the inclusion of the published linkage map, this demonstrated a total of three linkage maps across four populations. Such heterogeneity in linkage maps across sheep breeds has important consequences for the design and analysis fine-mapping studies. The significance of a QTL linkage peak is not readily evaluated with general pedigrees. The extension of permutation methodology that is commonly used with structured pedigrees to more general pedigrees is investigated in Chapter 4. Chapter 5 examines the population dynamics of a well studied wild Soay sheep population. A unified statistical framework is developed for all major aspects of the life cycle of the sheep. This forms the basis of a simulation model of the population that is used to predict the amount of linkage disequilibrium in the population (Chapter 6) and the effective population size of the population (Chapter 7). The examination of the linkage disequilibrium structure in a population is an important step in the design of studies with the aim of fine-mapping quantitative trait loci. The simulated population showed significant decline of linkage disequilibrium with genetic distance and low levels of background linkage disequilibrium, indicating that the Soay sheep population is a viable resource for linkage disequilibrium fine mapping. Through the use of the simulation model, the effective population size of the Soay sheep population was estimated to be approximately 0.17 of its census population size. This is approximately half the value obtained with the use of a general predictive equation.
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Koons, David Nelson Grand James Barry. "Transient population dynamics and population momentum in vertebrates." Auburn, Ala, 2005. http://repo.lib.auburn.edu/EtdRoot/2005/SPRING/Forestry_and_Wildlife_Sciences/Dissertation/KOONS_DAVID_55.pdf.

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Books on the topic "A Population"

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Rahman, Bhuiyan Md Zahidur. Population information directory of Bangladesh: Population experts, population institutes, population researches. Dhaka: National Institute of Population Research and Training, 1998.

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Population. Detroit: Greenhaven Press, 2012.

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Paul, Mason. Population. Chicago: Heinemann Library, 2006.

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Steve, Parker. Population. 2nd ed. London: QED Publishing, a division of Quarto Publishing plc, 2009.

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Stewart, Gail B. Population. Yankton, S.D: Erickson Press, 2011.

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Population. San Diego, CA: Lucent Books, 1991.

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Paul, Mason. Population. Oxford: Raintree, 2006.

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Powell, Richard A. Population. 2nd ed. York: Longman, 1986.

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Riches, Christopher. Population. London: Franklin Watts, 2008.

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1951-, Kane Thomas T., and Population Reference Bureau, eds. The Population Reference Bureau's population handbook. 2nd ed. Washington, D.C: The Bureau, 1989.

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Book chapters on the topic "A Population"

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Siegler, Mark V. "Population and Population Growth." In An Economic History of the United States, 127–48. London: Macmillan Education UK, 2017. http://dx.doi.org/10.1057/978-1-137-39396-8_7.

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Frank, J. Howard, J. Howard Frank, Michael C. Thomas, Allan A. Yousten, F. William Howard, Robin M. Giblin-davis, John B. Heppner, et al. "Population." In Encyclopedia of Entomology, 3006. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_3071.

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Williams, Michael. "Population." In Society Today, 131–34. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08845-4_28.

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Brawer, Moshe. "Population." In Atlas of South America, 24–27. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-12579-1_9.

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Mason, S. "Population." In Work Out Social and Economic History GCSE, 14–25. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-10295-2_3.

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Harper, P. N. "Population." In Work Out Geography GCSE, 87–101. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10237-2_7.

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Veracini, Lorenzo. "Population." In Settler Colonialism, 16–52. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230299191_2.

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Barupal, Tansukh, Mukesh Meena, Deepali Chittora, Prashant Swapnil, Kuldeep Sharma, Tripta Jain, and Kanika Sharma. "Population." In Encyclopedia of Animal Cognition and Behavior, 1–7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47829-6_1577-1.

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Gooch, Jan W. "Population." In Encyclopedic Dictionary of Polymers, 991. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15325.

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Egerer, Matthias, Markus Zimmer, and Markus Probeck. "Population." In Regional Assessment of Global Change Impacts, 139–45. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16751-0_16.

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Conference papers on the topic "A Population"

1

Koide, Kazuharu, Nobuo Noda, Hiroyuki Matsuura, and Masahiro Nakano. "Population Dynamics in Population Decline Society." In Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icicic.2007.456.

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Webb, Glenn F. "Structured population dynamics." In Mathematical Modelling of Population Dynamics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2003. http://dx.doi.org/10.4064/bc63-0-4.

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den Heijer, Eelco, and A. E. Eiben. "Maintaining population diversity in evolutionary art using structured populations." In 2013 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2013. http://dx.doi.org/10.1109/cec.2013.6557614.

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Meng, Rongqing, and Xiaogang Qiu. "Artificial Population: Synthesizing Population from Census Data." In 2016 International Conference on Intelligent Control and Computer Application (ICCA 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icca-16.2016.110.

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Lässig, Jörg, and Dirk Sudholt. "Adaptive population models for offspring populations and parallel evolutionary algorithms." In the 11th workshop proceedings. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1967654.1967671.

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Doh, Il, Young-Ho Cho, Won Chul Lee, Frans A. Kuypers, and Albert P. Pisano. "Sub-population analysis of deformability distribution in heterogeneous cell populations." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411416.

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Momm, Henrique G., and Greg Easson. "Population restarting." In the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830656.

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Vanhatalo, Ulla, and Hilary Chan. "Population testing." In the HLT-NAACL 2003 workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1119212.1119224.

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Goldwasser, Shafi, Rafail Ostrovsky, Alessandra Scafuro, and Adam Sealfon. "Population Stability." In PODC '18: ACM Symposium on Principles of Distributed Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3212734.3212747.

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Arino, Ovide, and Eva Sánchez. "Delays induced in population dynamics." In Mathematical Modelling of Population Dynamics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2003. http://dx.doi.org/10.4064/bc63-0-1.

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Reports on the topic "A Population"

1

Weil, David. Population Aging. Cambridge, MA: National Bureau of Economic Research, April 2006. http://dx.doi.org/10.3386/w12147.

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Mulligan, Casey, and Andrei Shleifer. Population and Regulation. Cambridge, MA: National Bureau of Economic Research, January 2004. http://dx.doi.org/10.3386/w10234.

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Rusk, Ryan, and Joshua L. Sievers. Corn Plant Population. Ames: Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-108.

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Pecinovsky, Kenneth T. Corn Population Research. Ames: Iowa State University, Digital Repository, 2011. http://dx.doi.org/10.31274/farmprogressreports-180814-1305.

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McNicoll, Geoffrey. Population and sustainability. Population Council, 2005. http://dx.doi.org/10.31899/pgy2.1015.

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Chasteen, Bernadette, William Wheaton, Phillip Cooley, Laxminarayan Ganapathi, and Diane Wagener. Including the group quarters population in the US synthesized population database. Research Triangle Park, NC: RTI Press, February 2011. http://dx.doi.org/10.3768/rtipress.2011.mr.0020.1102.

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Acemoglu, Daron, Leopoldo Fergusson, and Simon Johnson. Population and Civil War. Cambridge, MA: National Bureau of Economic Research, April 2017. http://dx.doi.org/10.3386/w23322.

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Elliott, Douglas B., Michael J. Scott, Ernest J. Antonio, and Kathleen Rhoads. Hanford Area 2000 Population. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/15010616.

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Stone, Brice, Kathryn Turner, and Vincent Wiggins. Population Propensity Measurement Model. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada279175.

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Clawson, Patrick. Population, Resources, and Conflict. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada385735.

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