Results 11 to 20 of about 795 (93)
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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Quotient of information matrices in comparison of linear experiments for quadratic estimation
Open Mathematics, 2017 The ordering of normal linear experiments with respect to quadratic estimation, introduced by Stępniak in [Ann. Inst. Statist. Math. A 49 (1997), 569-584], is extended here to the experiments involving the nuisance parameters. Typical experiments of this
Stępniak Czesław
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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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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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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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Geometric View of Measurement Errors [PDF]
, 2010 The slope of the best fit line from minimizing the sum of the squared oblique errors is the root of a polynomial of degree four. This geometric view of measurement errors is used to give insight into the performance of various slope estimators for the ...
Copas J. +10 more
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Pac-bayesian bounds for sparse regression estimation with exponential weights [PDF]
, 2010 We consider the sparse regression model where the number of parameters $p$ is larger than the sample size $n$. The difficulty when considering high-dimensional problems is to propose estimators achieving a good compromise between statistical and ...
Alquier, Pierre, Lounici, Karim
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On eigenvalues, case deletion and extremes in regression [PDF]
, 1990 This paper presents an approximation for assessing the effect of deleting an observation in the eigenvalues of the correlation matrix of a multiple linear regression modelo Applications in connection with the detection of collinearityinfluential ...
Velilla Cerdan, Santiago
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On the adaptive elastic-net with a diverging number of parameters [PDF]
, 2009 We consider the problem of model selection and estimation in situations where the number of parameters diverges with the sample size. When the dimension is high, an ideal method should have the oracle property [J. Amer. Statist. Assoc.
Zhang, Hao Helen, Zou, Hui
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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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