Results 11 to 20 of about 86 (73)
Computational and Mathematical Methods in Medicine, Volume 7, Issue 1, Page 45-51, 2006., 2006 Meta‐analysis is a widely used tool to synthesize the results of a set of primary studies leading to more powerful conclusions than those provided by isolated ones. To evaluate the effect of allocated radiotherapy, types of breast surgery and other risk factors over death risk in early breast cancer patients, we carried out a meta‐analysis using ...
V. Alba-Fernández, N. Ruiz-Fuentes
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Open Mathematics, 2020 In this article, an errors-in-variables regression model in which the errors are negatively superadditive dependent (NSD) random variables is studied. First, the Marcinkiewicz-type strong law of large numbers for NSD random variables is established. Then,
Zhang Yu +3 more
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Testing the stability of regression parameters when some additional data sets are available
International Journal of Mathematics and Mathematical Sciences, Volume 17, Issue 1, Page 173-180, 1994., 1992 We consider the problem of testing the stability of regression parameters in regression lines of different populations when some additional, but unidentified, data sets from those populations are available. The standard test (T0) discards the additional data and tests the stability of the regression parameters using only the data sets from identified ...
R. Radhakrishnan, Don R. Robinson
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The effect of a single point on correlation and slope
International Journal of Mathematics and Mathematical Sciences, Volume 13, Issue 4, Page 799-805, 1990., 1990 By augmenting a bivariate data set with one point, the correlation coefficient and/or the slope of the regression line can be changed to any prescribed values. For the target value of the correlation coefficient or the slope, the coordinates of the new point are found as a function of certain statistics of the original data.
David L. Farnsworth
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Some remarks on a pair of seemingly unrelated regression models
Open Mathematics, 2019 Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference.
Hou Jian, Zhao Yong
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Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints
Journal of Mathematics, Volume 2025, Issue 1, 2025.The paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real‐world relationships between variables. It introduces two novel parameter estimation methods, that is, the coordinate descent method and the profile likelihood method, which eliminate the extensive tuning and simplify ...
Shujin Wu +4 more
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e-Prime: Advances in Electrical Engineering, Electronics and EnergyThis study investigates the performance of solar cell electric power generation, focusing on data collected from Prince of Songkla University, Surat Thani Campus, analyzing the Mean Squared Error (MSE) for each phase consisting of Phase A: 0.00133, Phase
Nathaphon Boonnam, Orachon Lanteng
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Demonstratio MathematicaSuppose that a weakly singular linear regression model M{\mathscr{M}} and its two competing restricted models M1{{\mathscr{M}}}_{1} and M2{{\mathscr{M}}}_{2} are given.
Ren Xingwei
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Some theoretical foundations for the design and analysis of randomized experiments
Journal of Causal InferenceNeyman’s seminal work in 1923 has been a milestone in statistics over the century, which has motivated many fundamental statistical concepts and methodology.
Shi Lei, Li Xinran
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Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects
Journal of Causal InferenceFollowing Efron (2014), we propose an algorithm for estimating treatment effects for use by researchers employing a regression-discontinuity (RD) design.
Long Mark C., Rooklyn Jordan
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