Relevant bibliographies by topics / Curvilinear Regression

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  1. Journal articles

Academic literature on the topic 'Curvilinear Regression'

Author: Grafiati
Published: 8 September 2023

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Journal articles on the topic "Curvilinear Regression"

1

Naiman, Daniel Q. "Conservative Confidence Bands in Curvilinear Regression." Annals of Statistics 14, no. 3 (1986): 896–906. http://dx.doi.org/10.1214/aos/1176350040.

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2

Pereira, Dulce Gamito Santinhos, Paulo Canas Rodrigues, Iwona Mejza, Stanislaw Mejza, and João Tiago Mexia. "Analyzing genotype-by-environment interaction using curvilinear regression." Scientia Agricola 69, no. 6 (2012): 357–63. http://dx.doi.org/10.1590/s0103-90162012000600003.

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3

Marjoribanks, Kevin. "Sibling Dilution Hypothesis: A Regression Surface Analysis." Psychological Reports 89, no. 1 (2001): 33–40. http://dx.doi.org/10.2466/pr0.2001.89.1.33.

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This study examined relationships between sibship size (the number of children in a family), birth order, and measures of academic performance, academic self-concept, and educational aspirations at different levels of family educational resources. As part of a national longitudinal study of Australian secondary school students data were collected from 2,530 boys and 2,450 girls in Years 9 and 10. Regression surfaces were constructed from models that included terms to account for linear, interaction, and curvilinear associations among the variables. Analysis suggests the general propositions (a) family educational resources have significant associations with children's school-related outcomes at different levels of sibling variables, the relationships for girls being curvilinear, and (b) sibling variables continue to have small significant associations with affective and cognitive outcomes, after taking into account variations in family educational resources. That is, the investigation provides only partial support for the sibling dilution hypothesis.
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4

Xie, Lei, Shaoping Qiu, and Xinyi Bian. "The curvilinear relationship between servant leadership and work-family conflict: the moderating role of age in Chinese female workers." Industrial and Commercial Training 53, no. 3 (2021): 294–309. http://dx.doi.org/10.1108/ict-12-2020-0114.

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Purpose Building on social exchange theory and selection, optimization and compensation theory, this study aims to examine a moderated curvilinear relationship between servant leadership (SL) and work-family conflict (WFC). Design/methodology/approach Participants were 329 female workers recruited from a Chinese small business in the service Industry. A three-step hierarchical regression was conducted to examine the relationships among the variables and the incremental contribution of SL and age and the squared term of SL. Findings Study results confirmed a curvilinear relationship between SL and WFC and the moderating effect of age. When younger female employees perceived a moderate range of SL from their supervisors, they reported higher WFC compared to the low or high level of perceived SL. On the contrary, senior female employees reported a lower level of WFC when they perceived a moderate level of SL than when they perceived very low or high levels. Originality/value SL research has experienced a period of exponential growth in the past decade. This study advanced the field of leadership by arguing that SL perceived by female employees is curvilinearly related to WFC and the curvilinear relationship is moderated by age.
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5

Marjoribanks, Kevin, and Mzobanzi Mboya. "Family Correlates of South African Students' Self-Concept: A Regression Surface Analysis." Psychological Reports 83, no. 1 (1998): 163–72. http://dx.doi.org/10.2466/pr0.1998.83.1.163.

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This study examined relationships between family social status, perceptions of proximal family environment and students' self-concept scores. Data were collected from 189 female and 146 male 18-yr.-old South Africans. Regression surfaces were constructed from models that included terms to account for linear, interaction, and curvilinear associations among the variables. The study suggests the general propositions (a) family social status and proximal family environment combine to have large associations with students' general self-concept and small to medium associations with scores on measures of specific self-concept, (b) proximal family environment is related more strongly to self-concept scores than is family social status, (c) there are complex interaction and curvilinear relationships between family and self-concept scores, and (d) there are sex differences in the nature of the associations between family social status, proximal family environment, and students' self-concept.
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6

Marjoribanks, Kevin. "Perceptions of Family Environments, Educational and Occupational Outcomes: Social-Status Differences." Perceptual and Motor Skills 66, no. 1 (1988): 3–9. http://dx.doi.org/10.2466/pms.1988.66.1.3.

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Regression surface analysis was used to examine relations between various family environment measures and young adults' educational and occupational outcomes. Data were collected from 330 Australians as part of a 10-year longitudinal study. The regression models included terms to account for possible linear, interaction, and curvilinear relationships. In general, the analysis suggests the proposition that parents' aspirations and adolescents' perceptions of parents' support for learning have differential linear and curvilinear associations with the educational and occupational outcomes of young adults from different social-status groups.
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7

Choy, Youngdo, Solyoung Jung, Beomjun Park, Jin Hur, Sang ho Park, and Gi gab Yoon. "Study on the Prediction of Wind Power Outputs using Curvilinear Regression." KEPCO Journal on Electric Power and Energy 2, no. 4 (2016): 627–30. http://dx.doi.org/10.18770/kepco.2016.02.04.627.

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8

Kahraman, S., M. Fener, and O. Gunaydin. "Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis." International Journal of Rock Mechanics and Mining Sciences 41, no. 7 (2004): 1123–31. http://dx.doi.org/10.1016/j.ijrmms.2004.04.009.

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9

Miller, Nathan, and Frances Prevatt. "Redefining ADHD Using an Adult Population: Should Inattention be Viewed as a Separate Dimension From Cognitive and Physiological Activity Level?" Journal of Attention Disorders 24, no. 14 (2017): 1977–88. http://dx.doi.org/10.1177/1087054717733045.

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Objective: The purpose of this study was to reexamine the latent structure of ADHD and sluggish cognitive tempo (SCT) due to issues with construct validity. Two proposed changes to the construct include viewing hyperactivity and sluggishness (hypoactivity) as a single continuum of activity level, and viewing inattention as a separate dimension from activity level. Method: Data were collected from 1,398 adults using Amazon’s MTurk. A new scale measuring activity level was developed, and scores of Inattention were regressed onto scores of Activity Level using curvilinear regression. Results: The Activity Level scale showed acceptable levels of internal consistency, normality, and unimodality. Curvilinear regression indicates that a quadratic (curvilinear) model accurately explains a small but significant portion of the variance in levels of inattention. Conclusion: Hyperactivity and hypoactivity may be viewed as a continuum, rather than separate disorders. Inattention may have a U-shaped relationship with activity level. Linear analyses may be insufficient and inaccurate for studying ADHD.
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10

Chrosciewicz, Z. "Prediction of forest-floor moisture content on jack pine cutovers." Canadian Journal of Forest Research 19, no. 2 (1989): 239–43. http://dx.doi.org/10.1139/x89-033.

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Moisture contents of organic forest-floor materials were studied by strata on a clear-cut jack pine (Pinusbanksiana Lamb.) site in relation to slash distribution and changes in both duff moisture code and fine fuel moisture code, the two weather-based components of the Canadian Forest Fire Weather Index System. The best-fitting curvilinear regression (Y = a + b/X) of the duff moisture code showed distinctive patterns of variation, so that both the surface and subsurface forest-floor strata were consistently moister under slash cover than in slash openings, and for each of these two slash conditions, the subsurface forest-floor strata were consistently moister than the surface strata. Combinations of these materials down to mineral soil showed intermediate moisture contents both in slash openings and under slash cover. The straight line regression (Y = a + bX) of the fine fuel moisture code was the best-fitting moisture content relationship for the surface forest-floor materials, but only in slash openings; under slash cover, the curvilinear regression (Y = a + b/X) of the duff moisture code was more suitable. The coefficients of correlation, r, as derived from these varied regressions, were all very highly significant at P < 0.001.
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