Bibliografías temáticas / Logistic growth

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Literatura académica sobre el tema "Logistic growth"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 31 de enero de 2023

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Artículos de revistas sobre el tema "Logistic growth"

Meyer, Perrin. "Bi-logistic growth". Technological Forecasting and Social Change 47, n.º 1 (septiembre de 1994): 89–102. http://dx.doi.org/10.1016/0040-1625(94)90042-6.

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Hieber, Matthias, Pablo Koch Medina y Sandro Merino. "Diffusive logistic growth on". Nonlinear Analysis: Theory, Methods & Applications 27, n.º 8 (octubre de 1996): 879–94. http://dx.doi.org/10.1016/0362-546x(95)00035-t.

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Tsoularis, A. y J. Wallace. "Analysis of logistic growth models". Mathematical Biosciences 179, n.º 1 (julio de 2002): 21–55. http://dx.doi.org/10.1016/s0025-5564(02)00096-2.

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Kucharavy, Dmitry y Roland De Guio. "Application of Logistic Growth Curve". Procedia Engineering 131 (2015): 280–90. http://dx.doi.org/10.1016/j.proeng.2015.12.390.

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Gopalsamy, K. y Pei-Xuan Weng. "Feedback regulation of logistic growth". International Journal of Mathematics and Mathematical Sciences 16, n.º 1 (1993): 177–92. http://dx.doi.org/10.1155/s0161171293000213.

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Sufficient conditions are obtained for the global asymptotic stability of the positive equilibrium of a regulated logistic growth with a delay in the state feedback of the control modelled bydn(t)dt=rn(t)[1−(a1n(t)+a2n(t−τ)K)−cu(t)]dn(t)dt=−au(t)+bn(t−τ)whereudenotes an indirect control variable,r,a2,τ,a,b,c∈(0,∞)anda1∈[0,∞).

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Shah, Md Asaduzzaman. "Stochastic Logistic Model for Fish Growth". Open Journal of Statistics 04, n.º 01 (2014): 11–18. http://dx.doi.org/10.4236/ojs.2014.41002.

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Awadalla, Muath, Yves Yannick Yameni Noupoue y Kinda Abu Asbeh. "Psi-Caputo Logistic Population Growth Model". Journal of Mathematics 2021 (26 de julio de 2021): 1–9. http://dx.doi.org/10.1155/2021/8634280.

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This article studies modeling of a population growth by logistic equation when the population carrying capacity K tends to infinity. Results are obtained using fractional calculus theories. A fractional derivative known as psi-Caputo plays a substantial role in the study. We proved existence and uniqueness of the solution to the problem using the psi-Caputo fractional derivative. The Chinese population, whose carrying capacity, K, tends to infinity, is used as evidence to prove that the proposed approach is appropriate and performs better than the usual logistic growth equation for a population with a large carrying capacity. A psi-Caputo logistic model with the kernel function x + 1 performed the best as it minimized the error rate to 3.20% with a fractional order of derivative α = 1.6455.

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Antonelli, Peter L. "Filtering then-dimensional logistic growth model". Stochastic Analysis and Applications 8, n.º 3 (enero de 1990): 263–92. http://dx.doi.org/10.1080/07362999008809209.

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Webb, G. F. "Logistic models of structured population growth". Computers & Mathematics with Applications 12, n.º 4-5 (abril de 1986): 527–39. http://dx.doi.org/10.1016/0898-1221(86)90178-1.

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TUCKWELL, H. y J. KOZIOL. "Logistic population growth under random dispersal". Bulletin of Mathematical Biology 49, n.º 4 (1987): 495–506. http://dx.doi.org/10.1016/s0092-8240(87)80010-1.

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Tesis sobre el tema "Logistic growth"

Molla, Mohammad Mofigul Islam. "A Stochastic Bayesian Update and Logistic Growth Mapping of Travel-Time Flow Relationship". Diss., North Dakota State University, 2017. http://hdl.handle.net/10365/25911.

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The travel-time flow relationship is not always increasing in nature, it is very difficult to predict precisely. Traditional method fails to replicate this unique conditions. Until millennium, although various researchers and practitioners have given much attention to develop travel-time flow relationships, the advancement to improve travel-time flow relationships was not substantial. The knowledge about the travel-time flow relationship is not commensurate with or parallel to the advancement of new knowledge in other fields. After millennium, most investigators did not devote enough attention to create new knowledge, except for application and performance evaluation of the existing knowledge. Therefore, it is necessary to provide a new theoretical and methodological advancement in travel-time flow relationship. Consequentially, this research proposes a new methodology, which considers stochastic behavior of travel-time flow relationship with probabilistic Bayesian statistics and logistic growth mapping techniques. This research moderately improves the travel-time flow relationship. The unique contribution of this research is that the proposed methods outperforms the existing traditional travel-time flow theory, assumptions, and modeling techniques. The results shows that the proposed model is considerably a good candidate for travel-time predictions. The proposed model performs 36 percent better and accurate travel-time predictions in compared to the existing models. Furthermore, travel-time flow relationship need capacity and free-flow speed estimations. Traditionally, practice of capacity estimation is mostly practical, subjective, and not steady-state capacity. Therefore, a robust and stable capacity-estimation method was developed to eliminate the subjectivity of capacity estimation. The proposed model shows robust and capable of replicating steady-state capacity estimation. The free-flow speed estimation should relate to the traffic-flow speed model while the density is zero. Therefore, this research investigates the existing deterministic speed-density models and recommends a better methodology in free-flow speed estimation. This research presents how the undefined practice of free-flow speed selection can be sensitive. Additionally, finding suitable concurrent travel-time data and traffic volume is crucial and very challenging. To collect concurrent data, this research investigates and develops several technologies such as crowdsource, web app, virtual sensor method, test vehicle, smartphone, global positioning system, and utilized several state and local agencies data collection efforts. Keywords: Travel-Time Flow, Travel-Time Delay, Volume-Delay Function, Travel Time, Origin-Destination Survey, Travel Demand Model, Travel Data Collection, Transportation Survey, Internet Sensor, Crowdsourcing, Virtual Sensor Method, VSM, Transportation Planning, GPS, Smartphone, Loop Detector, Travel -Time Prediction, Travel-Speed Prediction, TDM, Bayesian Inference, Logistic Growth Function.

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Irvine, Paul Michael. "Using a logistic phenology model with improved degree-day accumulators to forecast emergence of pest grasshoppers". Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, 2011, 2011. http://hdl.handle.net/10133/3105.

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Many organisms, especially animals like insects, which depend on the environment for body heat, have growth stages and life cycles that are highly dependent on temperature. To better understand and model how insect life history events progress, for example in the emergence and initial growth of the biogeographical research subjects, we must first understand he relationship between temperature, heat accumulation, and subsequent development. The measure of the integration of heat over time, usually referred to as degree-days, is a widely used science-based method of forecasting, that quantifies heat accumulation based on measured ambient temperature. Some popular methods for calculation of degreedays are the traditional sinusoidal method and the average method. The average method uses only the average of the daily maximum and minimum temperature, and has the advantage that it is very easy to use. However, this simplest method can underestimate the amount of degree-day accumulation that is occurring in the environment of interest, and thus has a greater potential to reduce the accuracy of forecasting insect pest emergence. The sinusoidal method was popularized by Allen (1976, [1]), and gives a better approximation to the actual accumulation of degree-days. Both of these degree-day accumulators are independent of typical heating and cooling patterns during a typical day cycle. To address possible non-symmetrical effect, it was deemed prudent to construct degree-day accumulators to take into account phenomena like sunrise, sunset, and solar noon. Consideration of these temporal factors eliminated the assumption that heating and cooling in a typical day during the growth season is symmetric. In some tested cases, these newer degree-day integrators are more accurate than the traditional sinusoidal method, and in all tested cases, these integrators are more accurate than the average method. After developing the newer degree-day accumulators, we chose to investigate use of a logistic phenology model similar to one used by Onsager and Kemp (1986, [54]) when studying grasshopper development. One reason for studying this model is that it has parameters that are important when considering pest management tactics, such as the required degree-day accumulations needed for insects in immature stages (instars) to be completed, as well as a parameter related to the variability of the grasshopper population. Onsager and Kemp used a nonlinear regression algorithm to find parameters for the model. I constructed a simplex algorithm and studied the effectiveness when searching for parameters for a multi-stage insect population model. While investigating the simplex algorithm, it was found that initial values of parameters for constructing the simplex played a crucial role in obtaining realistic and biologically meaningful parameters from the nonlinear regression. Also, while analyzing this downhill simplex method for finding parameters, it was found there is the potential for the simplex to get trapped in many local minima, and thus produce extraneous or incorrectly fitted parameter estimates, although Onsager and Kemp did not mention this problem. In tests of my methods of fitting, I used an example of daily weather data from Onefour, AB, with a development threshold of 12 ±C and a biofix day of April 1st, as an example. The method could be applied to larger, more extensive datasets that include grasshopper population data on numbers per stage, by date, linked to degree accumulations based on the non-symmetrical method, to determine whether it would offer significant improvement in forecasting accuracy of spring insect pest events, over the long term.
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Fay, TH y JC Greeff. "A three species competition model as a decision support tool". Elsevier, 2007. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000167.

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An overcrowding problem of nyala, and lately also of impala in the Ndumo Game Reserve, South Africa, has been detrimental to other species and vegetation structures over a period of two decades. In the present study a deterministic model for three competing species (where two species tend to be overpopulated while the third faces probable localized extinction) is constructed, while future trends coupled with their coexistence are projected. On a mathematical basis, we seek reasons for the failure of the cropping strategies implemented by management over the last two decades, and suggest alternative, scientifical-based approaches to the calculation of cropping quotas to ensure the future coexistence of all three species. A system of three first-order nonlinear differential equations is used, with parameter values based on field data and opinions of specialist ecologists. The effect of various cropping strategies, and the introduction of a fourth species (man as a predator) to the system, is investigated mathematically. This model was implemented as a harvesting strategy in 2002, and is being continuously tested. Final assessment can only be done over a 10–15-year period, but so far indications are promising.

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Fossceco, Stewart Lee. "Logistic growth curve parameter estimates for scrotal circumference and relationships with female reproduction in crossbred sheep". Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/37241.

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Data from two groups of lambs were analyzed. In group one, seasonal patterns of testis growth through 16 mo of age were assessed on 40 spring-born ram lambs (eight Barbados Blackbelly, 10 Suffolk and 22 1/2-Dorset, 1/4-Finnish Landrace, 1/4-Rambouillet). Scrotal circumference (sc) and body weight (wt) were measured at mean ages of 30, 62, 96, 124, 153, 180, 212, 243, 290, 333, 364, 398, 427, 454, 488 and 517 d. A multivariate repeated measures analysis indicated that there were breed differences in ram sc and wt measurements at each age. When logistic growth curves were fit to ram sc data, breed differences were associated with parameters of the logistic curve that defined mature testis size and the period of rapid testis growth. For group two, data were collected on 1,044 lambs from 727 spring lambings over 5 years; 67 sires and 525 dams were represented. Sc and wt were measured in rams at 5 times (mean ages of 44, 63, 97, 129 and 156 d); ewes were weighed at these times and at three additional times (187, 230 and 271 d). All ewe lambs were kept for fall breeding. Fertility, prolificacy and postweaning spring mating behavior of ewes that had lambed were measured. After ewes lambed, they were exposed to vasectomized rams and checked for postweaning spring mating behavior. Restricted maximum likelihood (REML) was used to estimate variance components for additive genetic, ewe, and litter effects in group two Jambs. Heritability estimates for wt at birth to 150 d ranged from .14 to .42. Heritabilities for sc and sc scaled to the 1/3 power of body weight (rsc) ranged from .09 to .57 and from .13 to .55, respectively, and were largest at approximately 90 d. Logistic sc growth curves were fitted to data from individual ram lambs. Heritabilities of the estimated logistic parameters mature sc (A), sc maturing rate (k), age at inflection of the sc growth curve (t₁) and initial 14-d sc (SC14), were estimated at .09±.15, .17±.18, .37±.29 and .40±.14, respectively. Heritability estimates for fertility and spring mating behavior (spbrd) were .04±.13 and .41±.19, respectively. The heritability estimate for prolificacy was zero. Longitudinal additive genetic covariances among wt, sc and rsc at the second, third and fourth measurements were estimated from approximate multivariate REML analysis treating variances as known. Estimated genetic correlations among wts were largest, and ranged from. 77 to .93. Estimated genetic correlations for rsc traits were between .48 and .90. Estimated genetic correlations for sc ranged only from .10 to .67. Pairwise genetic correlations among sc or rsc with fertility or spbrd were estimated to be moderate and positive (.20 and .34, respectively); t₁ had correlations of -.32 and -.48 with fertility and spbrd, respectively.
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Browning, Alexander P. "Stochastic mathematical models of cell proliferation assays". Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/110808/1/Alexander_Browning_Thesis.pdf.

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Cell proliferation assays are routinely used to study collective cell behaviour, and can be interpreted with mathematical models. In this thesis, we apply a computational Bayesian technique to calibrate stochastic discrete mathematical models of cell migration and cell proliferation in the context of a cell proliferation assay. Initially, we use a lattice-based model to explore the optimal duration of a cell proliferation assay. Next, we estimate the parameters in a lattice-free model using three independent experimental data sets. Our model is able to both describe and predict the evolution of the population and spatial structure in a cell proliferation assay.

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Johnson, Vicki D. "Growth Mindset as a Predictor of Smoking Cessation". Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1246034970.

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Wasson, Samantha Rae. "Increasing Introductory Biology Students' Modeling Mastery Through Visualizing Population Growth Models". BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9181.

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In introductory biology, college students are taught to predict how populations will grow and change over time by using population growth models. These models are commonly represented as mathematical equations. However, students consistently struggle when math and biology concepts intersect in the classroom, and these struggles lead to suboptimal understanding of how mathematical population models are designed and used. Education literature suggests that students may struggle with population modeling because of math anxiety, the high cognitive load of the task, and the lack of scaffolding for abstract concepts. In our study, we sought to improve student mastery modeling exponential growth, logistic growth, and Lotka-Volterra predator-prey interactions through using pictorial diagrams in modeling pedagogy. We predicted that these diagrams would reduce the amount of triggered math anxiety, lower the cognitive load of the task through reducing element interactivity, and allow for a more scaffolding for abstract symbols through a pictorial representation bridge. To test the effectiveness of population diagrams, we created two versions of a population modeling lesson plan: one version taught using diagrams then equations, while the other taught using purely equations. We also designed practice and assessment questions that tested calculation and model-building ability. We assessed math anxiety, scientific reasoning ability, and math ability at the beginning of the semester and state anxiety, effort of tasks, and difficulty of tasks during each lesson. Over 200 students from a non-major biology course were randomly assigned to each group, and all were given a pre-assessment, four lessons, a practice test, and a unit test on population modeling. Our findings show that while the addition of pictorial models to the traditional pedagogy did not have a significant effect on exponential and logistic growth model mastery, students that were exposed to predator-prey diagrams were more able to create a new model for a three-level predator-prey interaction than students that were only given traditional pedagogy. In addition, students who were exposed to predator-prey interaction diagrams before they derived equations reported a lower cognitive load than students who were only exposed to equations. Although diagrams were not a more helpful calculation tool for students than traditional equations, using population diagrams before to equation derivation may help improve student mastery of growth model creation.

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Murphy, Stephen J. "Vegetation Dynamics of an Old-growth Mixed Mesophytic Forest in Southeastern Ohio, USA". Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1350941088.

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Bara, Carlos Roberto Francisco. "Variáveis relevantes para as empresas de alto crescimento no Brasil". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-11062018-114840/.

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Empreendedorismo tem sido objeto de incentivo no mundo e no Brasil, dada a sua significante contribuição para o desenvolvimento econômico e social de uma nação. Observa-se que a maioria das empresas, existentes ou novas, evolui de forma lenta e gradual; no entanto, reduzida parcela apresenta um padrão diferente, com crescimento elevado em faturamento ou número de colaboradores: são as empresas de alto crescimento (EACs). Tais empresas são as responsáveis por grande parte da geração de empregos (Birch, 1981; Coad, Daunfeldt, Holzl, Johansson, & Nightingale, 2014; Henrekson & Johansson, 2010; OECD, 2010). A presente tese procurou identificar as variáveis que ajudam a explicar o desempenho das EACs no Brasil, classificadas conforme critério da OECD (2007). Foi conduzida uma pesquisa com 470 empresas brasileiras, que coletou mais de 30 variáveis preditoras categóricas ou métricas, utilizadas no modelo Regressão Logística. Foram identificadas algumas variáveis alinhadas com a literatura e outras menos intuitivas e documentadas. Comprovou-se o aumento da probabilidade de EACs quando se relacionavam com aceleradoras, recebiam premiações ou eram spin-offs de outras empresas. Em função das altas taxas de juros bancários e da cultura empreendedora no Brasil, surpreendeu o impacto positivo de empréstimos bancários e a percepção dos empreendedores sobre registrar marcas comerciais, bem como o impacto negativo da percepção sobre propaganda em mídia digital e doações de instituições de fomento, relacionadas às EACs. Análises adicionais com o subgrupo de EACs caracterizadas como gazelas foram feitas. Embora apresente limitações de surveys e outras, a tese confirmou parte dos resultados da literatura sobre empreendedorismo e identificou avenidas para futuras pesquisas.
Entrepreneurship has been object of encouragement in the world and in Brazil, given its significant contribution to the economic and social development of a nation. It is observed that the majority of companies, existing or new, are developing slowly and gradually; however, small share presents a different pattern, with high growth in sales or number of employees: they are the high growth firms (HGFs). These firms are responsible for a large part of job creation (Birch, 1981; Coad, Daunfeldt, Holzl, Johansson, & Nightingale, 2014, Henrekson & Johansson, 2010, OECD, 2010). This thesis aimed to identify the variables that help to explain the performance of HGFs in Brazil, according to OECD (2007) criterion. A survey with 470 Brazilian companies was conducted, collecting more than 30 categorical or metric predictor variables, used in the Logistic Regression model. Some identified variables were aligned to literature, but others less intuitive or documented. It was confirmed the increase in the probability of HGFs when they related to accelerators, received awards, or were spin-offs of other companies. As a consequence of the high banking interest rates and the entrepreneurship culture in Brazil, surprised the positive impact of bank loans and the entrepreneurs\' perception of trademark registration, as well as the negative impact of perception on advertising in digital media and donations from development institutions, related to HGFs. Additional analyzes with the subgroup of HGFs characterized as gazelles were made. Although it presents limitations of surveys and others, the thesis confirmed part of the results of the literature on entrepreneurship and identified avenues for future researches.

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Atems, Bebonchu. "Essays in nonlinear macroeconomic modeling and econometrics". Diss., Kansas State University, 2011. http://hdl.handle.net/2097/11985.

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Doctor of Philosophy
Department of Economics
Lance J. Bachmeier
This dissertation consists of three essays in nonlinear macroeconomic modeling and econometrics. In the first essay, we decompose oil price movements into oil demand (stock market) shocks and oil supply (oil-market) shocks, and examine the response of the stock market to these shocks. We find that when oil prices are “net-increasing”, a stock market shock that causes the S&P 500 to rise by one percentage point will cause the price of oil to rise approximately 0.2 percentage points, with a statistically significant positive effect one day after the stock market shock. On the other hand, the response of the stock market to an oil market shock is a decline of 6.8 percent when the price of oil doubles. For other days, the initial response of the oil market to a stock market shock is the same as in the net oil price increase case (by construction). We then analyze the response of monetary policy to the identified stock market and oil market shocks and find that short-term interest rates respond to the stock market shocks but not the oil market shocks. Finally, we evaluate the predictive power of the decomposed stock market and oil shocks relative to the change in the price of oil. We find statistically significant gains in both the in-sample fit and out-of-sample forecast accuracy when using the identified stock market and oil market shocks rather than the change in the price of oil. The second essay revisits the statistical specification of near-multicollinearity in the logistic regression model using the Probabilistic Reduction approach. We argue that the ceteris paribus clause invoked with near-multicollinearity is rather misleading. This assumption states that one can assess the impact of near-multicollinearity by holding the parameters of the logistic regression model constant, while examining the impact on their standard errors and t-ratios as the correlation (\rho) between the regressors increases. Using the Probabilistic Reduction approach, we derive the parameters (and related statisitics) of the logistic regression model and show that they are functions of \rho , indicating the ceteris paribus clause in the traditional account of near multicollinearity is unattainable. Monte carlo simulations in the paper confirm these findings. We also show that traditional near-multicollinearity diagnostics, such as the variance inflation factor and condition number can fail to detect near-multicollinearity. Overall, the paper finds that near-multicollinearity in the logistic model is highly variable and may not lead to the problems indicated by the traditional account. Therefore, unexpected, unreliable or unstable estimates and inferences should not be blamed on near-multicollinearity. Rather the modeler should return to economic theory or statistical respecification of their model to address these problems. The third essay examines the correlations between income inequality and economic growth using a panel of income distribution data for 3,109 counties of the U.S. We examine the non-spatial dynamic correlations between county inequality and growth using a System GMM approach, and find significant negative relationships between changes in inequality in one period and growth in the subsequent period. We show that this finding is robust across different sample sizes. We further argue that because the space-specific time-invariant variables that affect economic growth and inequality can differ significantly across counties, failure to incorporate spatial effects into a model of growth and inequality may lead to biased results.We assume that dependence among counties only arises from the disturbance process, hence the estimation of a spatial error model. Our results indicate that the bias in the parameter for inequality amounts to about 2.66 percent, while that for initial income amounts to about 21.51 percent.

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Libros sobre el tema "Logistic growth"

Gaver, Donald Paul. Note on an alternative mechanism for logistic growth. Monterey, Calif: Naval Postgraduate School, 1995.

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Logistics clusters: Delivering value and driving growth. Cambridge, Mass: MIT Press, 2012.

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Creating entrepreneurial supply chains: A guide for innovation and growth. Ft. Lauderdale, FL: J. Ross Pub., 2012.

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Lingling, Peng, ed. Zhujiang Sanjiaozhou gang kou wu liu yu cheng shi fa zhan. Beijing: Shang wu yin shu guan, 2011.

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Hofmann, Erik. Ways out of the working capital trap: Empowering self-financing growth through modern supply management. Heidelberg: Springer, 2011.

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Uddin, Aman. The application of logistics process re-engineering to improve distribution network of furniture retailer Heal's and sustain its furniture business growth. London: LCP, 2002.

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Office, General Accounting. Defense inventory: Growth in secondary items : briefing report to Congressional requesters. Washington, D.C: The Office, 1988.

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Office, General Accounting. Defense inventory: Growth in secondary items : briefing report to Congressional requesters. Washington, D.C: The Office, 1988.

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Ferber, Martin M. Department of Defense inventory growth and management problems continue: Statement for the record of Martin M. Ferber, Senior Associate Director, before the Subcommittee on Readiness Committee on Armed Services United States House of Representatives. [Washington, D.C.?]: United States General Accounting Office, 1988.

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Office, General Accounting. Depot maintenance: Public-private partnerships have increased, but long-term growth and results are uncertain : report to the Subcommittee on Readiness, Committee on Armed Services, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): U.S. General Accounting Office, 2003.

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Capítulos de libros sobre el tema "Logistic growth"

Miller, Laura T., Lionel Stange, Charles MacVean, Jorge R. Rey, J. H. Frank, R. F. Mizell, John B. Heppner et al. "Logistic Growth". En Encyclopedia of Entomology, 2225. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_2073.

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Lopez, Robert J. "Logistic Growth". En Maple via Calculus, 85–87. Boston, MA: Birkhäuser Boston, 1994. http://dx.doi.org/10.1007/978-1-4612-0267-7_22.

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Swishchuk, Anatoly y Jianhong Wu. "Logistic Growth Models". En Evolution of Biological Systems in Random Media: Limit Theorems and Stability, 175–85. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-1506-5_7.

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Lanchier, Nicolas. "Logistic growth process". En Stochastic Modeling, 193–201. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50038-6_11.

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David, H. A. y A. W. F. Edwards. "The Logistic Growth Curve". En Springer Series in Statistics, 65–67. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3500-0_11.

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Schwalbe, Dan y Stan Wagon. "Logistic Models of Population Growth". En VisualDSolve, 145–52. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2250-7_9.

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Conrado, Claudine V. y Tomas Bohr. "Ordering Process in the Diffusively Coupled Logistic Lattice". En Growth and Form, 457–64. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-1357-1_41.

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Shearer, S. F. C., S. Sahoo y A. Sahoo. "Stochastic Dynamics of Logistic Tumor Growth". En Stochastic Algorithms: Foundations and Applications, 206–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04944-6_17.

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Armstrong, Richard A. y Anthony C. Hilton. "Nonlinear Regression: Fitting A Logistic Growth Curve". En Statistical Analysis in Microbiology: Statnotes, 119–22. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9780470905173.ch23.

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Zine, Houssine, Jaouad Danane y Delfim F. M. Torres. "A Stochastic Capital-Labour Model with Logistic Growth Function". En Dynamic Control and Optimization, 231–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17558-9_13.

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Actas de conferencias sobre el tema "Logistic growth"

Clark, Aaron James, Larry Wayne Lake y Tadeusz Wiktor Patzek. "Production Forecasting with Logistic Growth Models". En SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/144790-ms.

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Tao, Jin y Gao Deyong. "Study of logistic growth curve model for mobile user growth". En 2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM). IEEE, 2012. http://dx.doi.org/10.1109/icssem.2012.6340840.

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Windarto, Eridani y Utami Dyah Purwati. "Implementation of Fractional Logistic Growth Model in Describing Rooster Growth". En 2nd International Conference Postgraduate School. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0007547505830586.

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Mačiulytė-Šniukienė, Alma y Aurelija Burinskienė. "Logistics and international trade development relationship: evidence of European Union member states". En 11th International Scientific Conference „Business and Management 2020“. VGTU Technika, 2020. http://dx.doi.org/10.3846/bm.2020.524.

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International trade (IT) is recognised as one of the driving forces for business and the growth of countries’ economic. The amount of IT flows is contributed by the “logistics revolution”. According to the conceptual approach, the development of transportation modes, logistics infrastructure may facilitate in-ternational trade. However, it remains unclear whether logistic performance changes contribute to IT flows since the number of researches that examine the effect of logistic performance on IT is limited. So, this paper aims to determine whether the flows of IT are contingent on logistics performance. The research re-lies on panel data of 28 European Union (EU) Member States (MS) over 2007–2016. The results of our investigation confirmed that the changes of logistics performance positively related to IT flow of EU MS, but this impact differs across countries.

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"A Cell-DEVS Model for Logistic Urban Growth". En 2019 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2019. http://dx.doi.org/10.22360/springsim.2019.anss.019.

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St-Aubin, Bruno y Gabriel Wainer. "A Cell-Devs Model for Logistic Urban Growth". En 2019 Spring Simulation Conference (SpringSim). IEEE, 2019. http://dx.doi.org/10.23919/springsim.2019.8732910.

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Moroza, Nadina y Inguna Jurgelane-Kaldava. "Theoretical analysis of factors affecting the development of logistics centre". En 21st International Scientific Conference "Economic Science for Rural Development 2020". Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2020. http://dx.doi.org/10.22616/esrd.2020.53.024.

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Profitable logistics complex system is an important factor for stable growth in economics of the state. Efficient management is the key to success, especially in logistic sector. To achieve great success in logistics it is decisive to understand and analyse all factors which influence on development of current sector. The aim of the present study was to review scientific literature about the factors affecting development of logistics centre. Furthermore, the sustainability construction qualitative analysis method was employed as basis to conduct the research. Based on the literature, authors defined different factors influencing on the development of logistics centre and conducted groups of factors. Using qualitative analysis, the author developed main factors and elaborated definitions for each factor to provide information about included sub-factors. Service level was indicated as one of the important categories. It shows level of clients’ satisfaction with service given by the logistic centres. Finally, all factors were ranged by importance, to show gradation and influence on development.

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La Torre, Davide, Danilo Liuzzi y Simone Marsiglio. "A Note on Stochastic Logistic Shocks and Economic Growth". En 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO). IEEE, 2019. http://dx.doi.org/10.1109/icmsao.2019.8880319.

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Luo, Jun y Nagaraj Kapi Kanala. "Modeling urban growth with geographically weighted multinomial logistic regression". En Geoinformatics 2008 and Joint conference on GIS and Built Environment: The Built Environment and its Dynamics, editado por Lin Liu, Xia Li, Kai Liu, Xinchang Zhang y Xinhao Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.812714.

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Jain, Preeti N. y Sunil K. Surve. "Modeling resource constrained solo applications using logistic growth model". En 2017 International Conference on Advances in Computing, Communication and Control (ICAC3). IEEE, 2017. http://dx.doi.org/10.1109/icac3.2017.8318751.

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Informes sobre el tema "Logistic growth"

Gaver, Donald P., Patricia A. Jacobs y Robert L. Carpenter. Note on An Alternative Mechanism for Logistic Growth. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1995. http://dx.doi.org/10.21236/ada302175.

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Iyer, Ananth V., Thomas Brady, Steven R. Dunlop, Dutt J. Thakkar, Saichandar Naini, Srinath Jayan, Suraj Vasu, Sanjayraj Mohanraj y Janani Srinvasan. Forecasting Freight Logistic Needs and INDOT Plans. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317372.

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This project focused on forecasting freight logistics needs and developing and analyzing capacity plans for INDOT to consider. The forecast timeframe ranges from the 2020 to 2045; the commodities considered are those used in the FHWA framework. We considered five SSP (Shared Socio-Economic Pathways) scenarios that are in sync with those used by the IPCC (International Protocol for Climate Change). We also use the IPCC forecasts of world GDP and FHWA forecasts to develop county-level freight forecasts by commodity. A survey of industry participants, primarily in manufacturing, suggests that Indiana industries are tied to the rest of the country and the world for supply of inputs as well as for demand markets. Finally, we focus on three different industries—the recreational vehicle (RV) industry in Elkhart County, the furniture industry in Dubois County, and the Honda plant in Decatur County—to illustrate the impact of bill of materials and growth forecasts on forecasted congestion and potential capacity mitigation. Our results suggest that proactive capacity planning can enable INDOT to anticipate and ease congestion and ensure continued economic competitiveness for Indiana industries.

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Jagannathan, Shanti y Dorothy Geronimo. Reaping the Benefits of Industry 4.0 through Skills Development in Viet Nam. Asian Development Bank, enero de 2021. http://dx.doi.org/10.22617/spr200308.

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This report explores the implications of the Fourth Industrial Revolution (41R) on the future of the job market in Viet Nam. It assesses how jobs, tasks, and skills are being transformed, particularly in logistics and agro-processing. These two industries are important for the country’s employment, economic growth, and international competitiveness and are also highly relevant for 4IR technologies. The report is part of series developed from an Asian Development Bank study on trends in skills demand in Cambodia, Indonesia, the Philippines, and Viet Nam.

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McGregor, Lisa, Sarah Frazer y Derick Brinkerhoff. Thinking and Working Politically: Lessons from Diverse and Inclusive Applied Political Economy Analysis. RTI Press, abril de 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0038.2004.

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Political economy analysis (PEA) has emerged as a valuable approach for assessing context and the local systems where international development actors seek to intervene. PEA approaches and tools have grown and adapted over the last 40 years through innovations by donor agencies and practitioners. Our analysis of nine PEAs reveals the following findings: PEAs can make positive contributions to technical interventions; engaging project staff in PEAs increases the likelihood that they will be open to a thinking and working politically mindset and approach; inclusion of gender equity and social inclusion (GESI) in PEAs helps to uncover and address hidden power dynamics; and explicitly connecting PEA findings to project implementation facilitates adaptive management. Implementation lessons learned include careful consideration of logistics, timing, and team members. Our experience and research suggest applied PEAs provide valuable evidence for strengthening evidence-based, adaptive, international development programming. The findings highlight the promise of PEA as well as the need for ongoing learning and research to address continued challenges.

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Taucher, Jan y Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, noviembre de 2021. http://dx.doi.org/10.3289/oceannets_d5.2.

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We applied a 1-D plankton ecosystem-biogeochemical model to assess the impacts of ocean alkalinity enhancement (OAE) on seasonal changes in biogeochemistry and plankton dynamics. Depending on deployment scenarios, OAE should theoretically have variable effects on pH and seawater pCO2, which might in turn affect (a) plankton growth conditions and (b) the efficiency of carbon dioxide removal (CDR) via OAE. Thus, a major focus of our work is how different magnitudes and temporal frequencies of OAE might affect seasonal response patterns of net primary productivity (NPP), ecosystem functioning and biogeochemical cycling. With our study we aimed at identifying a parameterization of how magnitude and frequency of OAE affect net growth rates, so that these effects could be employed for Earth System Modell applications. So far we learned that a meaningful response parameterization has to resolve positive and negative anomalies that covary with temporal shifts. As to the intricacy of the response patterns, the derivation of such parameterization is work in progress. However, our study readily provides valuable insights to how OAE can alter plankton dynamics and biogeochemistry. Our modelling study first focuses at a local site where time series data are available (European Station for Time series in the Ocean Canary Islands ESTOC), including measurements of pH, concentrations of total alkalinity, dissolved inorganic carbon (DIC), chlorophyll-a and dissolved inorganic nitrogen (DIN). These observational data were made available by Andres Cianca (personal communication, PLOCAN, Spain), Melchor Gonzalez and Magdalena Santana Casiano (personal communication, Universidad de Las Palmas de Gran Canaria). The choice of this location was underpinned by the fact that the first OAE mesocosm experiment was conducted on the Canary Island Gran Canaria, which will facilitate synthesizing our modelling approach with experimental findings. For our simulations at the ESTOC site in the Subtropical North Atlantic we found distinct, non-linear responses of NPP to different temporal modes of alkalinity deployment. In particular, phytoplankton bloom patterns displayed pronounced temporal phase shifts and changes in their amplitude. Notably, our simulations suggest that OAE can have a slightly stimulating effect on NPP, which is however variable, depending on the magnitude of OAE and the temporal mode of alkalinity addition. Furthermore, we find that increasing alkalinity perturbations can lead to a shift in phytoplankton community composition (towards coccolithophores), which even persists after OAE has stopped. In terms of CDR, we found that a decrease in efficiency with increasing magnitude of alkalinity addition, as well as substantial differences related to the timing of addition. Altogether, our results suggest that annual OAE during the right season (i.e. physical and biological conditions), could be a reasonable compromise in terms of logistical feasibility, efficiency of CDR and side-effects on marine biota. With respect to transferability to global models, the complex, non-linear responses of biological processes to OAE identified in our simulations do not allow for simple parameterizations that can easily adapted. Dedicated future work is required to transfer the observed responses at small spatiotemporal scales to the coarser resolution of global models.

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Kyrgyz Republic: Improving Growth Potential: Country Diagnostic Study in Russian. Asian Development Bank, octubre de 2020. http://dx.doi.org/10.22617/tcs190441-2.

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The Kyrgyz Republic has overcome some complex challenges to now have one of the most open economies in Central Asia. The country has improved its per capita income and living standards and is on the threshold of becoming a lower-middle-income economy. Looking ahead, the main challenge for the Kyrgyz Republic is to build on these successes to stimulate stronger, more broad-based economic growth. This book identifies the economic and governance reforms needed within key sectors to drive this growth. It provides policy suggestions to enhance the country’s trade, agriculture, tourism, finance, information and communications technology, energy, transport and logistics, and human capital.

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