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Showing 1 to 20 of 139 for “"Regression coefficients"”.
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Estimation of Regression Coefficients Which Change Over Time
Made available in DSpace on 2014-12-10T22:02:54Z (GMT). No. of bitstreams: 1 7121131.pdf: 6654797 bytes, checksum: 97cda9fd7a73c0b3a18ff1650cac2989 (MD5) Previous issue date: 1971
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Methods For Constructing Confidence Intervals For Quantile Regression Coefficients
… constructing confidence intervals for quantile regression coefficients. We consider methods based on resampling, sparsity estimation, and test-inversion. In the latter group, along with the popular rank-score, we include methods based on linear and logistic regression that exploit the direct …
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Sex and ethnic differences in aptitude indicator measurement models/
… indicators is known to bias structural model regression coefficients, and differences in regression coefficients when two groups are measured with differential error. The validity and reliability of six aptitude tests administered to high school seniors in the High School and Beyond (HSB) …
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Analysis of the solar radiation data and the determination of regression coeffients for Vhembe Region, Limpopo Province
An attempt has been made to determine the regression coefficients from sunshine hours for the Vhembe Region, Limpopo Province. Parameters such as horizontal average daily extraterrestrial solar radiation (H0) and daily possible sunshine hours (N) were computed. Horizontal average daily global …
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A Monte Carlo Study: Robustness of Analysis of Covariance to Violation of Selected Assumptions
… (1) homgeneity of within-cell population regression coefficients (i.e., slopes), and (2) homogeneity of within-cell population error variances. In addition, the effect of having a contaminated sampling distribution from which the within-cell population error variances were generated (i.e., …
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Modified principal components regression
… variances of the least squares estimators of the regression coefficients become very large. The least squares estimator of the vector of the regression coefficients, which can be written in terms of latent roots and latent vectors of X'X, tends to place heavy weights on the latent vectors …
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Effect Sizes for Single Case Experimental Designs and Their Utility for a Meta-Analysis: A Simulation Study
… degrees of autocorrelation were present. Partial regression coefficients also performed relatively well in most situations. The results recommend the utilization of _HPS: besides its favorable performance, _HPS has also been designed to be comparable to group-based effect sizes (Cohens d) thus …
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Shrinkage Estimation for Aalen's Additive Model
… (or in general event history). In particular, regression models that relate event occurrence rates to predictor variables are quite common in the medical field. One such regression model is the Aalen's nonparametric additive model in which the regression coefficients are assumed to be …
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Sensitivity analysis and calibration of the alligator cracking model in the mechanistic-empirical pavement design guide using regional data
… cracking in the pavement with the help of regression coefficients and calibration constants. However, as these coefficients and constants were developed using the national database, the model might not predict the fatigue behavior of the pavement accurately for a particular state. This …
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Methods for the spatial modeling and evalution of tree canopy cover
… The first study evaluates how well harmonic regression variables derived at the pixel-level using a time-series of all available Landsat images predict values of tree canopy cover. Harmonic regression works to approximate the reflectance curve of a given band across time. Therefore the …
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Count regression models with a misclassified binary covariate : a Bayesian approach.
… are inevitable in a variety of regression applications. Fallible measurement methods are often used when infallible methods are either expensive or not available. Ignoring mismeasurement will result in biased estimates for the associated regression parameters. The models …
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A type I error investigation of modified Scheffe-based multiple-comparison procedures in factorial ANOVA, MANOVA, and multiple-regression situations
… MANOVA comparisons, and tests of partial regression coefficients in multiple regression, in specific regard to the practical utility of modified (sequential) Scheffe-based procedures. Researchers who are concerned with maintaining familywise Type I error rates while increasing statistical …
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Bayesian modelling of mixed outcome types using random effect.
… that our models provide good estimates of regression coefficients, response variability, and the correlation between responses. We also show that ignoring the random effects leads to a bias in parameter estimates which is magnified with increasing variability of the random effect. …
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Estimation and Testing Methods for Monotone Transformation Models
… that contains many important semiparametric regression models as special cases. It develops a self-induced smoothing method for estimating the regression coefficients of these models, resulting in simultaneous point and variance estimations. The self-induced smoothing does not require …
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Statistical Inference For High Dimensional Models In Genomics And Microbiome
… data make the naive application of the classical regression models invalid. To study the association between microbiome compositions with a disease’s risk, we develop a generalized linear model with linear constraints on regression coefficients and a related debiased procedure to obtain …
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The influence of month of birth on growth and development of thoroughbred foals and yearlings
… weight, as estimated by heart girth. Quadratic regression equations, adjusted for the effects of farm, sex and month were developed to describe the growth of foals. Foals born in January-February were smallest overall at birth, 30 and 90 d-of-age (P< .01) May-June foals were largest at birth. …
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An application of the augmented Solow model to measure the impact of military spending on economic growth in Uganda for the period 1962-2018.
… Foreign aid increases the magnitude of the regression coefficients however there is no evidence that aid increases the military burden. Overall, the ARDL approach to cointegration supports the data and is effective at providing empirical proof to seemingly axiomatic statements on the …
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Improving pedigree prediction, sire, and cow evaluation by adjusting production data for past reproductive performance
… for past reproductive performance improved the regression coefficients for sires and maternal grandsires in predicting young bulls' proofs. However, the regression coefficients for dams were very small (0.02 to 0.03) with or without adjustment.</p>
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