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Artículos de revistas sobre el tema "York regression"

Autor: Grafiati

Publicado: 7 de junio de 2025

Última modificación: 2 de agosto de 2025

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1

Abdulkadiroglu, Atila, Joshua D. Angrist, Yusuke Narita, and Parag Pathak. "Breaking Ties: Regression Discontinuity Design Meets Market Design." Econometrica 90, no. 1 (2022): 117–51. http://dx.doi.org/10.3982/ecta17125.

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Many schools in large urban districts have more applicants than seats. Centralized school assignment algorithms ration seats at over‐subscribed schools using randomly assigned lottery numbers, non‐lottery tie‐breakers like test scores, or both. The New York City public high school match illustrates the latter, using test scores and other criteria to rank applicants at the city's screened schools, combined with lottery tie‐breaking at the rest. We show how to identify causal effects of school attendance in such settings. Our approach generalizes regression discontinuity methods to allow for mul

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2

Romano, Maddalena, Maxwell S. Siegel, and Hui Yan (Terri) Chan. "Creating a Predictive Model for Pavement Deterioration using Geographic Weighted Regression." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 40 (2018): 166–75. http://dx.doi.org/10.1177/0361198118788430.

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This paper represents an effort by the New York City Department of Transportation (NYCDOT) to develop, by means of geographically weighted regression (GWR), an empirical pavement deterioration model for the five boroughs of New York City. Evaluation of probabilistic and deterministic models from existing literature, as well as statistical modeling techniques and applications, were examined to inform model selection. A model using GWR was selected as the preferred methodology. Validation tests demonstrated an adjusted R2 of .808 and a standard error (σ) representing 4.8% of the mean. Emphasis i

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3

Shashank, N. "A Decade of Taxation in New York: Trends and Sustainability Impacts." Journal of Research and Review in Purchasing and Supply Management 2, no. 1 (2025): 60–65. https://doi.org/10.5281/zenodo.14998883.

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<em>This research paper explores the comprehensive study of taxation trends in the state of New York from 2014 to 2023. And their effect on sustainability. This study mainly focuses on understanding the relationship between New York taxes and the state’s economic performances, Taxes are very important for the nation its imposed by the government and it’s levied on the individuals and the business. Each and every state had its own tax and their own tax mechanism that influences the economic and environmental policies. New York in the U.S is one of the economically significant states

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4

Roberts, Keith J., Brian A. Colle, Nickitas Georgas, and Stephan B. Munch. "A Regression-Based Approach for Cool-Season Storm Surge Predictions along the New York–New Jersey Coast." Journal of Applied Meteorology and Climatology 54, no. 8 (2015): 1773–91. http://dx.doi.org/10.1175/jamc-d-14-0314.1.

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AbstractA multilinear regression (MLR) approach is developed to predict 3-hourly storm surge during the cool-season months (1 October–31 March 31) between 1979 and 2012 using two different atmospheric reanalysis datasets and water-level observations at three stations along the New York–New Jersey coast (Atlantic City, New Jersey; the Battery in New York City; and Montauk Point, New York). The predictors of the MLR are specified to represent prolonged surface wind stress and a surface sea level pressure minimum for a boxed region near each station. The regression underpredicts relatively large

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Bartley, Katherine F., Donna L. Eisenhower, Tiffany G. Harris, and Karen K. Lee. "Accelerometer and Survey Data on Patterns of Physical Inactivity in New York City and the United States." Public Health Reports 134, no. 3 (2019): 293–99. http://dx.doi.org/10.1177/0033354919841855.

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Objective: Inactive lifestyles contribute to health problems and premature death and are influenced by the physical environment. The primary objective of this study was to quantify patterns of physical inactivity in New York City and the United States by combining data from surveys and accelerometers. Methods: We used Poisson regression models and self-reported survey data on physical activity and other demographic characteristics to predict accelerometer-measured inactivity in New York City and the United States among adults aged ≥18. National data came from the 2003-2004 and 2005-2006 Nation

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Uematsu, Yoshimasa, and Shinya Tanaka. "High‐dimensional macroeconomic forecasting and variable selection via penalized regression." Econometrics Journal 22, no. 1 (2019): 34–56. http://dx.doi.org/10.1111/ectj.12117.

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Summary This study examines high-dimensional forecasting and variable selection via folded-concave penalized regressions. The penalized regression approach leads to sparse estimates of the regression coefficients and allows the dimensionality of the model to be much larger than the sample size. First, we discuss the theoretical aspects of a penalized regression in a time series setting. Specifically, we show the oracle inequality with ultra-high-dimensional time-dependent regressors. Then we show the validity of the penalized regression using two empirical applications. First, we forecast quar

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7

Dhanoa, M. S., and R. Sanderson. "Comment on “The structural relationship: regression in biology”." Canadian Journal of Zoology 88, no. 8 (2010): 821–23. http://dx.doi.org/10.1139/z10-050.

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Supplementary information relevant to structural relationship regression in biology as discussed by McArdle (1988; Can. J. Zool. 66(11): 2329–2339) is presented. Although McArdle presented both linear and multiple linear regression models, we limit our comment to the linear model only. McArdle’s eq. 2 is corrected. Deming’s alternative form of the maximum likelihood (ML) solution (Deming 1943; Statistical adjustment of data. John Wiley and Sons, Inc., New York) is introduced. In the ML solution, the ratio of the mean measurement variances of the y and x variables is assumed constant over the r

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Rubio, Lihki, and Keyla Alba. "Forecasting Selected Colombian Shares Using a Hybrid ARIMA-SVR Model." Mathematics 10, no. 13 (2022): 2181. http://dx.doi.org/10.3390/math10132181.

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Forecasting future values of Colombian companies traded on the New York Stock Exchange is a daily challenge for investors, due to these stocks’ high volatility. There are several forecasting models for forecasting time series data, such as the autoregressive integrated moving average (ARIMA) model, which has been considered the most-used regression model in time series prediction for the last four decades, although the ARIMA model cannot estimate non-linear regression behavior caused by high volatility in the time series. In addition, the support vector regression (SVR) model is a pioneering m

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Chapman, Kathryn P., Lydia Ross, and Sherman Dorn. "Opting Out in the Empire State: A Geographic Analysis of Opting Out in New York, Spring 2015 & 2016." Teachers College Record: The Voice of Scholarship in Education 122, no. 2 (2020): 1–24. http://dx.doi.org/10.1177/016146812012200206.

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Background Recently, states have experienced widely varying participation in annual assessments, with the opt-out movement concentrated in New York State and Colorado. Geographic variation between and within states suggests that the diffusion of opting out is multilayered and an appropriate phenomenon to explore geographic dimensions of social movements in education. Purpose The study analyzes the geographic patterns of opting out from state assessments in school districts in New York State. Research Design We conducted linear regression and geographically weighted regression on district-level

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Plitnick, Thomas, Antonios Marsellos, and Katerina Tsakiri. "Time Series Regression for Forecasting Flood Events in Schenectady, New York." Geosciences 8, no. 9 (2018): 317. http://dx.doi.org/10.3390/geosciences8090317.

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Floods typically occur due to ice jams in the winter or extended periods of precipitation in the spring and summer seasons. An increase in the rate of water discharge in the river coincides with a flood event. This research combines the time series decomposition and the time series regression model for the flood prediction in Mohawk River at Schenectady, New York. The time series decomposition has been applied to separate the different frequencies in hydrogeological and climatic data. The time series data have been decomposed into the long-term, seasonal-term, and short-term components using t

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11

Erilli, Necati Alp. "Uç Değerli Verilerde Tip-II Regresyon Yöntemlerinin Performansları." Turkish Journal of Statistics and Data Science 01, no. 1 (2025): 1–13. https://doi.org/10.5281/zenodo.15364611.

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Jarrett, Jeffrey E., and Tina Sun. "ASSOCIATION BETWEEN NEW YORK AND SHANGHAI MARKETS: EVIDENCE FROM THE STOCK PRICE INDICES / NIUJORKO IR ŠANCHAJAUS RINKOS: AKCIJŲ KAINŲ INDEKSAI." Journal of Business Economics and Management 13, no. 1 (2012): 132–47. http://dx.doi.org/10.3846/16111699.2011.620166.

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This paper examines the time series characteristics of stock price indices for New York and Shanghai during the period of 1991 to 2009. Specifically, we calculate the rate of return and the volatility of return for two markets and estimate the serial correlation and co-movement of the two markets. We find that the average rate of return in Shanghai is much higher than that in New York while Shanghai stock prices are more volatile than New York stock prices. Further, we find that Shanghai stock prices are positively serially correlated while New York stock prices are negatively serially correla

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Xiang, Anthony, Wei Hou, Sina Rashidian, et al. "Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level." JMIR Public Health and Surveillance 7, no. 4 (2021): e23426. http://dx.doi.org/10.2196/23426.

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Background Opioid overdose-related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). Objective We aimed to discover geospatial patterns in nonmedical opioid use and its correlations with demographic features related to despair and economic hardship, most notably the US presidential voting patterns in 2016 at census tract level in New York State. Methods This cross-sectional analysis used data from New York Statewide Planning and Research Cooperative System c

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14

Mahon, Keith I. "The New “York” Regression: Application of an Improved Statistical Method to Geochemistry." International Geology Review 38, no. 4 (1996): 293–303. http://dx.doi.org/10.1080/00206819709465336.

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15

Ali, Ahmad Najim, Ghalia Nassreddine, and Joumana Younis. "Air Quality prediction using Multinomial Logistic Regression." Journal of Computer Science and Technology Studies 4, no. 2 (2022): 71–78. http://dx.doi.org/10.32996/jcsts.2022.4.2.9.

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Nowadays, Artificial Intelligence (AI) plays a primary role in different applications like medicine, science, health, and finance. In the past five decades, the development and progress of technology have allowed artificial intelligence to take an essential role in human life. Air quality classification is an excellent example of this role. The use of AI in this domain allows humans to predict whether the air is polluted or not. In effect, monitoring air quality and providing periodic and direct statistics are essential requirements to ensure good air quality for individuals in the community.

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16

Wang, Guanbo. "Analysis of spatiotemporal changes in bicycle rental demand: Taking New York as an example." Journal of Computing and Electronic Information Management 15, no. 3 (2024): 42–45. https://doi.org/10.54097/dnb6q122.

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In order to optimize the rental patterns of public bicycles and the allocation plan, the temporal and spatial movement laws of public bicycles should be obtained. Propose a distribution model and time trend model for public bicycles at different time points and rental locations. Take New York city as an example, based on the public bicycle travel data in New York City, a reference plan for the allocation of rental points was proposed using the moving average time model, kernel density method, and decision tree regression model.

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Watson, Kimberly A., Doris G. Gammon, Brett R. Loomis, Harlan R. Juster, and Elizabeth Anker. "Trends in Cigarette Advertising, Price-Reducing Promotions, and Policy Compliance in New York State Licensed Tobacco Retailers, 2004 to 2015." American Journal of Health Promotion 32, no. 8 (2018): 1679–87. http://dx.doi.org/10.1177/0890117118764852.

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Purpose: To describe the presence of licensed tobacco retailers (LTRs), cigarette advertisements, price-reducing promotions, and compliance with tobacco control policies in New York State from 2004 to 2015 and to discuss implications and lessons learned from 11 years of experience conducting LTR surveys. Design: Annual surveys of tobacco advertising from cross-sectional, stratified random samples of LTRs in New York State from 2004 to 2015 were conducted by professional data collectors. Data for 2013 were unavailable as the survey was not fielded in that year. Setting: New York State. Particip

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Rabinowitz, Adam N., and Yizao Liu. "The Impact of Regulatory Change on Retail Pricing: The New York State Milk Price Gouging Law." Agricultural and Resource Economics Review 43, no. 1 (2014): 178–92. http://dx.doi.org/10.1017/s1068280500006973.

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This study examines the causal effect of a change in administration of the New York State milk price gouging law on retail milk prices. Specifically, we focus on the November 2008 shift from a threshold pricing policy that consisted of monthly announced prices to a fixed margin policy. Using a regression discontinuity approach, we find lower prices and thus increased consumer welfare for retail milk purchasers in New York State. Furthermore, the change in application of the law may have eliminated previously hypothesized coordination in pricing by retailers through a more competitive retail mi

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Hua, May, Damon C. Scales, Zara Cooper, Ruxandra Pinto, Vivek Moitra, and Hannah Wunsch. "Impact of Public Reporting of 30-day Mortality on Timing of Death after Coronary Artery Bypass Graft Surgery." Anesthesiology 127, no. 6 (2017): 953–60. http://dx.doi.org/10.1097/aln.0000000000001884.

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Abstract Background Recent reports have raised concerns that public reporting of 30-day mortality after cardiac surgery may delay decisions to withdraw life-sustaining therapies for some patients. The authors sought to examine whether timing of mortality after coronary artery bypass graft surgery significantly increases after day 30 in Massachusetts, a state that reports 30-day mortality. The authors used New York as a comparator state, which reports combined 30-day and all in-hospital mortality, irrespective of time since surgery. Methods The authors conducted a retrospective cohort study of

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Shah, Jitendra J., Theo J. Kneip, and Joan M. Daisey. "Source Apportionment of Carbonaceous Aerosol in New York City by Multiple Linear Regression." Journal of the Air Pollution Control Association 35, no. 5 (1985): 541–44. http://dx.doi.org/10.1080/00022470.1985.10465930.

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21

Simanullang, Ricky Martin, Roy Sembel, Posma Sariguna Johnson Kennedy, Rutman Lumbantoruan, and Suzanna Josephine Tobing. "Pengaruh Indeks Harga Saham Global terhadap Indeks Harga Saham Indonesia Studi Kasus Sebelum dan Selama Periode Covid- 19." IKRAITH-EKONOMIKA 6, no. 2 (2022): 143–52. http://dx.doi.org/10.37817/ikraith-ekonomika.v6i2.2345.

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This study was conducted to examine the effect of the five largest stock price indices in the world on the Indonesian Composite Stock Price Index in the time series before the COVID-19pandemic and during the COVID-19 pandemic, taken from January 1, 2015 June 30, 2022. This study uses the stepwise regression method. The results in this study indicate that in the period before the COVID-19 pandemic the variables that affected the IHSG were the New York Stock Exchange and Euronext N.V, each of which had a positive effect, while during the COVID-19pandemic the variables that affected the IHSG were

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Marx, Brian D., and Eric P. Smith. "Weighted Multicollinearity in Logistic Regression: Diagnostics and Biased Estimation Techniques with an Example from Lake Acidification." Canadian Journal of Fisheries and Aquatic Sciences 47, no. 6 (1990): 1128–35. http://dx.doi.org/10.1139/f90-131.

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An historical data set from the Adirondack region of New York is revisited to study the relationship between water chemistry variables associated with acid precipitation and the presence/absence of brook trout (Salvelinus fontinalis) and lake trout (Salvelinus namaycush). For the trout species data sets, water chemistry variables associated with acid precipitation, for example pH and alkalinity, are highly correlated. Regression models to assess their effects on the probability of the presence of fish species are therefore affected by multicollinearity. Because the appropriate regressions are

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23

Farley, Shannon M., Andrew R. Maroko, Shakira F. Suglia, and Lorna E. Thorpe. "The Influence of Tobacco Retailer Density and Poverty on Tobacco Use in a Densely Populated Urban Environment." Public Health Reports 134, no. 2 (2019): 164–71. http://dx.doi.org/10.1177/0033354918824330.

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Objectives: Researchers have identified associations between neighborhood-level factors (eg, income level, tobacco retailer density) and smoking behavior, but few studies have assessed these factors in urban environments. We explored the effect of tobacco retailer density, neighborhood poverty, and housing type (multiunit and public) on smoking in a large urban environment (New York City). Methods: We used data on smoking prevalence and individual sociodemographic characteristics from the 2011-2013 New York City Community Health Survey, data on tobacco retailers from the 2012 New York City Dep

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Shang, Han Lin. "DYNAMIC PRINCIPAL COMPONENT REGRESSION: APPLICATION TO AGE-SPECIFIC MORTALITY FORECASTING." ASTIN Bulletin 49, no. 03 (2019): 619–45. http://dx.doi.org/10.1017/asb.2019.20.

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AbstractIn areas of application, including actuarial science and demography, it is increasingly common to consider a time series of curves; an example of this is age-specific mortality rates observed over a period of years. Given that age can be treated as a discrete or continuous variable, a dimension reduction technique, such as principal component analysis (PCA), is often implemented. However, in the presence of moderate-to-strong temporal dependence, static PCA commonly used for analyzing independent and identically distributed data may not be adequate. As an alternative, we consider a dyn

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Teres, Daniel, Keith Boyd, John Rapoport, Martin Strosberg, Robert Baker, and Stanley Lemeshow. "The Impact of Legislation Requiring DNR Orders: New York State Compared with Neighboring States." Journal of Intensive Care Medicine 11, no. 6 (1996): 335–42. http://dx.doi.org/10.1177/088506669601100605.

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Decisions to place limitations on the care of patients are complex, and they often involve physicians, other medical professionals, patients, or a surrogate decision-maker, family members, and others. In 1988, the Joint Commission on Accreditation of Health Care Organizations (JCAHO) and the New York State government adopted two different approaches to this complex issue of do-not-resuscitate (DNR) orders: one involved professional self-regulation, whereas the other mandated a standardized procedure requiring completion of legal documents. This study examines the impact of these two different

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Farley, Shannon M., Julia Sisti, John Jasek, and Kevin R. J. Schroth. "Flavored Tobacco Sales Prohibition (2009) and Noncigarette Tobacco Products in Retail Stores (2017), New York City." American Journal of Public Health 110, no. 5 (2020): 725–30. http://dx.doi.org/10.2105/ajph.2019.305561.

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Objectives. To assess explicit- (products clearly labeled flavored) and emergent concept- (products implying flavoring but not clearly labeled) flavored tobacco product availability following New York City’s flavor restriction. Methods. We examined explicit- and concept-flavored tobacco product availability, with 2017 New York City Retailer Advertising of Tobacco Survey data (n = 1557 retailers). We assessed associations between block group–level demographic characteristics and product availability by using logistic regression. Results. Most retailers sold explicit-flavored (70.9%) or concept-

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Nulla, Yusuf Mohammed. "The role of corporate governance in executive compensation system." Corporate Ownership and Control 12, no. 4 (2015): 467–79. http://dx.doi.org/10.22495/cocv12i4c4p5.

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This research study explores the relationship between the executive compensation and corporate governance among the New York Stock Exchange (NYSE) and the Toronto Stock Exchange (TSX/S&P) companies from 2005 to 2010. The quantitative research method was selected for this research study. The eighty largest companies from the New York Stock Exchange and the Toronto Stock Exchange were selected. The random sample method was used to select the two populations from each index. The research question for this research study was: is there a relationship between CEO cash compensation and corporate

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Ghesquiere, Angela R., Kisha N. Bazelais, Jacquelin Berman, Rebecca L. Greenberg, Daniel Kaplan, and Martha L. Bruce. "Associations Between Recent Bereavement and Psychological and Financial Burden in Homebound Older Adults." OMEGA - Journal of Death and Dying 73, no. 4 (2016): 326–39. http://dx.doi.org/10.1177/0030222815590709.

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Introduction Bereavement is common in older adults, but it remains unknown whether bereavement contributes to poor outcomes in the vulnerable population of older adults receiving home-based services. We examine whether recent bereavement was associated with worse physical or mental health, presence of abuse or neglect, and financial strain. Research Design Cross-sectional analyses of an assessment of functional and social vulnerabilities collected by the New York City Department for the Aging (DFTA), the largest Area Agency on Aging in New York. Assessments were completed on 5,576 New York Cit

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Kang, Minsu, and Sang-Hoon Cho. "RHadoop-based Algorithm Utilizing QR Factorization for Multiple Linear Regression Analysis." Korean Data Analysis Society 25, no. 1 (2023): 99–113. http://dx.doi.org/10.37727/jkdas.2022.25.1.99.

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RHadoop enables R users to perform big data analytics under R programming environment by integrating R with Hadoop that supports distributed storing and parallel processing of large-scaled data. This article proposes a RHadoop-based MapReduce programming model for estimating multiple linear regression models utilizing QR factorization. Our proposed algorithm accommodates the most common type of big data that has a vast number of data points with only a few hundred variables. For QR factorization over massive-scaled data, our algorithm employs DirectQR method proposed by Benson, Gleich, Demmel(

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Vermeesch, Pieter. "Errorchrons and anchored isochrons in IsoplotR." Geochronology 6, no. 3 (2024): 397–407. http://dx.doi.org/10.5194/gchron-6-397-2024.

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Abstract. Isochrons are usually fitted by “York regression”, which uses a weighted least-squares approach that accounts for correlated uncertainties in both variables. Despite its tremendous popularity in modern geochronology, the York algorithm has two important limitations that reduce its utility in several applications. First, it does not provide a satisfactory mechanism to deal with so-called “errorchrons”, i.e. datasets that are overdispersed with respect to the analytical uncertainties. Second, York regression is not readily amenable to anchoring, in which either the slope or the interce

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Mactaggart, Douglas L., and Sherry O. Farwell. "Analytical Use of Linear Regression. Part II: Statistical Error in Both Variables." Journal of AOAC INTERNATIONAL 75, no. 4 (1992): 608–14. http://dx.doi.org/10.1093/jaoac/75.4.608.

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Abstract This paper critically evaluates the literature techniques that attempt to incorporate the existence of both x- and y- errors into linear regression statistics. This evaluation focuses on the relative theoretical and practical merits of 4 techniques: (1) the effective variance approach, (2) the constant variance ratio approach, (3) the York approach, and (4) the Williamson approach. The practical use of these different approaches is illustrated with the aid of actual results from an interlaboratory comparison study. On the basis of our comparative evaluation, the constant variance rati

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Allison, Paul D. "Asymmetric Fixed-effects Models for Panel Data." Socius: Sociological Research for a Dynamic World 5 (January 2019): 237802311982644. http://dx.doi.org/10.1177/2378023119826441.

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Standard fixed-effects methods presume that effects of variables are symmetric: The effect of increasing a variable is the same as the effect of decreasing that variable but in the opposite direction. This is implausible for many social phenomena. York and Light showed how to estimate asymmetric models by estimating first-difference regressions in which the difference scores for the predictors are decomposed into positive and negative changes. In this article, I show that there are several aspects of their method that need improvement. I also develop a data-generating model that justifies the

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Cheung, Ethan Siu Leung. "FOOD INSECURITY AMONG OLDER ADULTS IN NEW YORK CITY: DOES LOCATION MATTER?" Innovation in Aging 6, Supplement_1 (2022): 521. http://dx.doi.org/10.1093/geroni/igac059.1990.

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Abstract Having access to adequate and appropriate food sources is essential to addressing food insecurity among older adults. However, the role of locational characteristics in explaining food insecurity remains unclear, especially in urban areas. This study investigated the association of distance to grocery stores, neighborhood disadvantage, and social cohesion with food insecurity among older adults in New York City. Individual-level data were drawn from a 2-year Poverty Tracker Study. The sample included New York City residents aged 65 or older (baseline N = 710). Based on the respondents

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Lim, Sungwoo, Christine Dominianni, Karen A. Alroy, Maria Baquero, Aldo Crossa, and L. Hannah Gould. "Racial and Ethnic Disparities in COVID-19-Like Illness and Impacts of Social Distancing and Working from Home." Ethnicity & Disease 32, no. 2 (2022): 123–30. http://dx.doi.org/10.18865/ed.32.2.123.

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Objectives: To examine racial and ethnic disparities in COVID-19-like illness (CLI) during March – August 2020 in New York City, and to test effect modification by age, nativity, and working from home vs outside the home, and mediation via social distancing behavior.Design: Analysis of the monthly Community Health Survey datasets.Setting: New York City.Participants: 5,305 adults living in New York City.Methods: Prevalence of having CLI was compared among racial and ethnic groups using multivariable log-linear regression. Stratified and causal mediation analyses were conducted to test effect m

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Watras, C. J., K. A. Morrison, and N. S. Bloom. "Mercury in remote Rocky Mountain lakes of Glacier National Park, Montana, in comparison with other temperate North American regions." Canadian Journal of Fisheries and Aquatic Sciences 52, no. 6 (1995): 1220–28. http://dx.doi.org/10.1139/f95-119.

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We determined concentrations of mercury (Hg) and methylmercury (MeHg) in 12 pristine lakes of Glacier National Park (GNP) and compared our observations with data from published studies of remote lakes in north-central Wisconsin and the Adirondack region of New York. Despite marked differences in water chemistry, biology, and hydrogeology, concentrations of Hg and MeHg in all regions were strongly correlated with dissolved organic carbon (DOC). Variables related to the acid–base status of lake waters had secondary effects on the concentration of waterborne mercury species. Although Hg and MeHg

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Mir, Hirah A., Qingyang Liu, Oxana Rosca, and Emily Blakeslee. "Factors That Influence the Tenure of Direct Support Professionals in New York State Provider Agencies." Intellectual and Developmental Disabilities 62, no. 1 (2024): 14–26. http://dx.doi.org/10.1352/1934-9556-62.1.14.

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Abstract The New York State Office for People With Developmental Disabilities seeks to better understand the direct support professional (DSP) workforce and offer data-informed strategies for DSP retention. We used the 2018 NCI-IDD Staff Stability Survey (now called State of the Workforce Survey) to investigate agency-level factors influencing DSP tenure. A total 303 provider agencies completed the survey in New York State, representing 72,252 DSPs. Multiple linear regression analysis revealed that selected agency-level variables explained 12.6% of the variance in DSP tenure, R2 = .16, Radj2 =

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Maulida, Reva Rahma, Dewi Komala Sari, and Misti Hariasih. "Peran Advertising, Brand Image, dan Brand Trust dalam Mempengaruhi Minat Beli Produk Kosmetik Maybelline New York pada Marketplace Shopee." Jurnal Ecogen 7, no. 3 (2024): 453. https://doi.org/10.24036/jmpe.v7i3.16296.

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This study aims to determine the influence of Advertising, Brand Image, and Brand Trust on Purchase Intention of Maybelline New York Cosmetics Products on the Shopee Marketplace in Sidoarjo Regency. The research employed a quantitative method with the population being the residents of Sidoarjo Regency. Nonprobability sampling was used with purposive sampling method, and the number of respondents was 100 people. Data collection was conducted through questionnaire distribution using a Likert scale. The data analysis technique used multiple linear regression with the assistance of Statistical Pac

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Pan, Zhonghan. "Empirical Analysis of the Relationship Between Hospitalization and Mortality in Different Administrative Districts of New York City During the COVID-19 Pandemic." Advances in Economics, Management and Political Sciences 73, no. 1 (2024): None. http://dx.doi.org/10.54254/2754-1169/73/20231619.

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The COVID-19 pandemic has posed a severe threat to global public health, particularly in New York City, where the impact has been substantial. Against this backdrop, understanding the relationship between hospitalization and mortality, as well as how this relationship is influenced by the economic and healthcare conditions of different regions, becomes an urgent and important research topic. This study aims to explore the relationship between hospitalization and mortality in different administrative districts of New York City (Brooklyn, Bronx, Manhattan, Queens, and Staten Island) during the C

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Paravantis, John A., Panagiotis D. Tasios, Vasileios Dourmas, et al. "A Regression Analysis of the Carbon Footprint of Megacities." Sustainability 13, no. 3 (2021): 1379. http://dx.doi.org/10.3390/su13031379.

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Urbanization and climate change are two major issues that humanity faces in the 21st century. Megacities are large urban agglomerations with more than 10 million inhabitants that emerged in the 20th century. The world’s top 100 economies include many North and South American megacities, such as New York, Los Angeles, Mexico City, Sao Paulo and Buenos Aires; European cities such as London and Paris; and Asian cities such as Tokyo, Osaka, Seoul, Beijing and Mumbai. This paper addresses a dearth of megacity energy metabolism models in the literature. Cross-sectional data for 36 global megacities

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40

Tsakiri, Katerina, Antonios Marsellos, and Stelios Kapetanakis. "Artificial Neural Network and Multiple Linear Regression for Flood Prediction in Mohawk River, New York." Water 10, no. 9 (2018): 1158. http://dx.doi.org/10.3390/w10091158.

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This research introduces a hybrid model for forecasting river flood events with an example of the Mohawk River in New York. Time series analysis and artificial neural networks are combined for the explanation and forecasting of the daily water discharge using hydrogeological and climatic variables. A low pass filter (Kolmogorov–Zurbenko filter) is applied for the decomposition of the time series into different components (long, seasonal, and short-term components). For the prediction of the water discharge time series, each component has been described by applying the multiple linear regressio

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Ningrum, Melita Widya, and Wijanarto Wijanarto. "Implicit Social Trust Dan Support Vector Regression Untuk Sistem Rekomendasi Berita." CogITo Smart Journal 3, no. 2 (2018): 275. http://dx.doi.org/10.31154/cogito.v3i2.77.275-285.

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Situs berita merupakan salah satu situs yang sering diakses masyarakat karena kemampuannya dalam menyajikan informasi terkini dari berbagai topik seperti olahraga, bisnis, politik, teknologi, kesehatan dan hiburan. Masyarakat dapat mencari dan melihat berita yang sedang populer dari seluruh dunia. Di sisi lain, melimpahnya artikel berita yang tersedia dapat menyulitkan pengguna dalam menemukan artikel berita yang sesuai dengan ketertarikannya. Pemilihan artikel berita yang ditampilkan ke halaman utama pengguna menjadi penting karena dapat meningkatkan minat pengguna untuk membaca artikel berit

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Kinney, Patrick L., Anjali Sauthoff, Mark Becker, and Yair Hazi. "Estimating Exposures to Traffic-Related PM in New York City using a Spatial Regression Model." Epidemiology 17, Suppl (2006): S54—S55. http://dx.doi.org/10.1097/00001648-200611001-00110.

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Boyd, James C. "Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. Frank E. Harrell, Jr. New York: Springer-Verlag New York, Inc., 2001, 568 pp., $94.00, hardcover. ISBN 0-387-95232-2." Clinical Chemistry 51, no. 1 (2005): 278–79. http://dx.doi.org/10.1373/clinchem.2004.033688.

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Liang, Chen. "Predicting New York Housing Prices: A Machine Learning Approach Incorporating School, Living facilities and Real Estate Market Factors." Highlights in Science, Engineering and Technology 85 (March 13, 2024): 710–15. http://dx.doi.org/10.54097/gj6vvq46.

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This study aims to predict housing prices in New York by utilizing machine learning methods that incorporate factors such as schools, living facilities, and the real estate market. This paper collected extensive data, including metrics on school quality, assessments of living facility convenience, and real estate market data. Employing a regression-based machine learning algorithm, the study incorporated these factors into a predictive model. Through training and testing the model, this study discovered that school quantity and the convenience of living facilities significantly impact housing

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Wallner, W. E., A. S. Devito, and S. J. Zarnoch. "Regression Estimators for Late-Instar Gypsy Moth Larvae at Low Population Densities." Forest Science 35, no. 3 (1989): 789–800. http://dx.doi.org/10.1093/forestscience/35.3.789.

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Abstract Two regression estimators were developed for determining densities of late-instar gypsy moth, Lymantria dispar (Lepidoptera: Lymantriidae), larvae from burlap band and pyrethrin spray counts on oak trees in Vermont, Massachusetts, Connecticut, and New York. Studies were conducted by marking larvae on individual burlap-banded trees within 15-m diameter plots and recapturing them with pyrethrin sprays to tree crowns at night. Both estimators are based on data that are relatively easy and inexpensive to gather in the field. The estimator for individual trees may be useful in determining

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Harrison, Jordan M., Flora Sheng, Raina E. Josberger, et al. "Changes in Nursing Home Use Following Medicaid-Supported Expanded Access to Home- and Community-Based Services for Older Adults With Dementia." JAMA Network Open 6, no. 7 (2023): e2322520. http://dx.doi.org/10.1001/jamanetworkopen.2023.22520.

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ImportanceNew York State’s Medicaid managed long-term care (MLTC) program expanded access to home- and community-based services, providing an alternative to nursing home care for people with dementia. Between 2012 and 2015, the state implemented mandatory MLTC for dual Medicare and Medicaid enrollees requiring more than 120 days of community-based long-term care.ObjectiveTo evaluate changes in nursing home use among older adults with dementia following MLTC implementation.Design, Setting, and ParticipantsThis cohort study used longitudinal data from January 1, 2011, to December 31, 2019, from

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Carrasco, Mary, Matthew Coppello, Laurent Garchitorena, et al. "0254 Acculturative Stress Is Associated with Sleep-Related Impairment Among a Sample of Rural and Urban Latinos/as." SLEEP 47, Supplement_1 (2024): A109—A110. http://dx.doi.org/10.1093/sleep/zsae067.0254.

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Abstract Introduction Latinos/as in the United States face distinctive sociocultural stressors rooted in their marginalized status, immigration experiences, and challenges adapting to a new culture. These stressors, including acculturative stress, contribute to elevated stress levels that can have detrimental effects on sleep health and may engender sleep-related impairment. While the association between stress and sleep difficulties is well-documented, the impact of acculturative stress on Latinos/as sleep health remains an understudied area. This study aims to illuminate the relationship bet

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Sasono, Heri, Ahmad Syukri, and Pudjo Irianto. "The Impact of International Stock Market Indices on Indonesia's Composite Index Based on Data from 2015 to 2024." Jurnal Ilmiah Manajemen Kesatuan 13, no. 4 (2025): 2721–32. https://doi.org/10.37641/jimkes.v13i4.3231.

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Global stock markets are increasingly interconnected, influencing emerging markets such as the Indonesia Composite Index. This study aims to analyze the collective and individual impacts of the Nikkei, New York Stock Exchange, FTSE, and ASX indices on the Jakarta Composite Index from 2015 to 2024. This study uses a quantitative approach to ensure a robust analysis and uses multiple linear regression analysis. Data collected from the annual closing values of the Indonesia Stock Exchange, Tokyo Stock Exchange, New York Stock Exchange, London Stock Exchange, and Australia Stock Exchange, proces

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Gamble, Allison E., Russ Lloyd, John Aiken, Ora E. Johannsson, and Edward L. Mills. "Using zooplankton biomass size spectra to assess ecological change in a well-studied freshwater lake ecosystem: Oneida Lake, New York." Canadian Journal of Fisheries and Aquatic Sciences 63, no. 12 (2006): 2687–99. http://dx.doi.org/10.1139/f06-153.

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We explored the sensitivity of three descriptors of zooplankton size spectra (slope, periodic, and Pareto II models) to environmental changes in Oneida Lake, New York, and then used documented environmental changes to model the responses of zooplankton biomass using a general linear model. Using multiple regressions, we identified significant ecological events in Oneida Lake that could affect zooplankton biomass before actual model testing and assessed the three size spectrum models based on their sensitivity to these known variables. The intercept of the slope (linear regression) model was re

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Minh, Vu Trieu, Reza Moezzi, Jindrich Cyrus, and Jaroslav Hlava. "Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles." Applied System Innovation 5, no. 2 (2022): 36. http://dx.doi.org/10.3390/asi5020036.

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This paper reviews the latest studies of hybrid electric vehicles (HEVs) on modelling, controls, and energy management. HEV dynamics, formulas, calculations, and schemes of vehicle parts, such as battery, converter, electric motor, generator, and HEV Simulink models, are presented. Moreover, simulations of the propulsion operation, regenerative braking system, and vehicle dynamics are conducted. A comprehensive HEV model is built that is simulated on different driving cycles of Federal Test Procedure 75 (FTP75), New York City Cycle (NYCC), Highway Fuel Economy Test (HWFET), and Extra Urban Dri

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