The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Filters
Page 1017 of Mathematical Reviews Vol. , Issue 91B
[page]
1991
Mathematical Reviews
Preserved Fulltext
(BR-FRJ-CE)
Recursive least squares with singular design matrices.
Rebrape 3 (1989), no. 1, 13-22. ...
The linear model with singular matrices of observations is treated and formulae for recursive least squares estimation are derived, which allow for the simultaneous addition of new observations on the ...
Page 7581 of Mathematical Reviews Vol. , Issue 95m
[page]
1995
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Summary: “When estimating a mean regression function and its derivatives, locally weighted least squares regression has proven to be a very attractive technique. ...
Summary: “The monotone class rank-test-based estimating equa- tions for regression models with right-censored data are consid- ered. ...
Page 5042 of Mathematical Reviews Vol. , Issue 2000g
[page]
2000
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Summary: “We investigate the rates of convergence of least-square estimators on sieves for regression under various weak dependency assumptions. ...
Analysis of censored data: concepts and classical methods; 8. Analysis of censored data: survival tree; 9. Regression trees and adaptive splines for a continuous response; 10. ...
Page 422 of Mathematical Reviews Vol. , Issue 88a
[page]
1988
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
variable are observed, the author proposes least squares (L.S.) estimation based on symmetric censoring or truncation of the upper tail of the dependent variable. ...
For censored regression models, i.e., models where the observa- tions of the dependent variable are restricted to be positive or zero, and for truncated models, where only positive values of the de- pendent ...
Page 3333 of Mathematical Reviews Vol. , Issue 84h
[page]
1984
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
For testing constancy of coefficients in a linear regression model with i.i.d. normal errors, tests based on CUSUM of recursive residuals are well known. ...
Milo, Wiadistaw (Milo, Wiadystaw] 84h:62100 Some consequences of outliers existence for the properties of least squares method.
Publ. Econométriques 14 (1981), no. 1, 45-61. ...
Variable selection in censored kernel regression
2013
Journal of the Korean Data and Information Science Society
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We propose a novel algorithm for selecting such important input variables for censored kernel regression, which is based on the penalized regression with the weighted quadratic loss function for the censored ...
For censored regression, it is often the case that some input variables are not important, while some input variables are more important than others. ...
The censored regression model and the least squares method to accommodate the censored data seem appealing since they are familiar and well understood. ...
doi:10.7465/jkdi.2013.24.1.201
fatcat:tilhayhge5bnddoihln4jcji6u
Page 536 of The Annals of Mathematical Statistics Vol. 26, Issue 3
[page]
1955
The Annals of Mathematical Statistics
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Let M(z) be a strictly increasing regression function for x < @, and strictly decreasing regression function for xz > @. Kiefer and Wolfowitz (Ann. Math. ...
This was accomplished by applying the method of least squares to the linear combination of the ordered known observations to obtain unbiased estimates with minimum variance. ...
Linking gene expression data with patient survival times using partial least squares
2002
Bioinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The procedure for solving the transformed problem is a combination of two approaches: partial least squares, a regression technique that is especially effective when there is severe collinearity due to ...
We show that the issues involving censored data can be circumvented by reformulating the problem as a standard Poisson regression problem. ...
ACKNOWLEDGEMENT We thank Meredith Goldwasser for a careful reading of this manuscript. ...
doi:10.1093/bioinformatics/18.suppl_1.s120
pmid:12169539
fatcat:evlrlr2moncznop3mp4n7yhdcu
Evaluation of the recursive model approach for estimating particulate matter infiltration efficiencies using continuous light scattering data
2006
Journal of Exposure Science and Environmental Epidemiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
model approach; F inf S , sulfur infiltration efficiency; HI, Harvard impactor; k, particle deposition rate (h À1 ); Neph, radiance research nephelometer; OLS, ordinary least squares; P, particle penetration ...
This alternative method involves applying a recursive mass balance model (recursive model, RM) to continuous indoor and outdoor concentration measurements (e.g., light scattering data from nephelometers ...
Acknowledgements We are grateful to the study participants for their willingness to participate in this study and the field technicians for Recursive model evaluation Allen et al. ...
doi:10.1038/sj.jes.7500539
pmid:17108894
fatcat:4zhnqckveredpktmx3dxuttpja
Page 4965 of Mathematical Reviews Vol. , Issue 96h
[page]
1996
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Summary: “In this paper, tests for structural change based on moving sums (MOSUMs) of recursive and least-squares residuals ° are investigated. ...
We obtain and tabulate the asymptotic critical values of the MOSUM test with recursive residuals and show that the asymptotic critical values of the MOSUM test with least- squares residuals can easily ...
Page 1207 of Mathematical Reviews Vol. , Issue 99b
[page]
1991
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
1207 62G
metric density estimation, and data-driven bandwidth selection such as least squares cross-validation is frequently used to esti- mate the corresponding bandwidth parameter. ...
This chapter develops the recursion using elementary facts about nonparamet- ric predictive distributions, and applies it to an interval censoring problem and to a Markov chain mixture model. ...
Page 2610 of Mathematical Reviews Vol. , Issue 88e
[page]
1988
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
B 34 (1972), 1-41; MR 54 #3939] as a Bayesian alternative to least squares estimation of the linear model. ...
The statistical properties of the maximum likelihood esti- mate (MLE) in the QR models, so long as its assumptions hold, are nearly the same as those of the ordinary least-squares of the regression model ...
A note on distortions induced by truncation with applications to linear regression systems
2008
Statistics and Probability Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A general formula for the distortion induced by truncation in the least-squares coefficients is presented. The implications of our derivations are illustrated with an example. r (E. Stanghellini). ...
., A note on distortions induced by truncation with applications to linear regression systems. ...
Acknowledgements We thank Nanny Wermuth and Richard Scheines for helpful comments. The work was partially supported by MIUR, Rome, under the project PRIN 2005132307. ...
doi:10.1016/j.spl.2007.09.050
fatcat:mp4fczcojnhenptrjrsjiex5hi
Page 3220 of Mathematical Reviews Vol. , Issue 87f
[page]
1987
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
However, for a fixed sample size, the generalized jackknife method may inflate the mean-square error.”
Koronacki, Jacek;
Wertz, W.
Recursive estimation of a probability density.
(Polish. ...
As an application, it is shown that the method of least-squares cross validation, suggested by A. W. Bowman [Biometrika 71 (1984), no. 2, 353-360; MR
86b:62061| and M. Rudemo (Scand. J. ...
Tree-based multivariate regression and density estimation with right-censored data
2004
Journal of Multivariate Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2005; you can also visit the original URL.
The file type is application/pdf.
We propose a unified strategy for estimator construction, selection, and performance assessment in the presence of censoring. ...
A number of common estimation procedures follow this approach in the full data situation, but depart from it when faced with the obstacle of evaluating the loss function for censored observations. ...
We are also grateful to Terry Therneau and Elizabeth Atkinson for their thorough explanation of the R rpart package. ...
doi:10.1016/s0047-259x(04)00029-6
fatcat:e5rcb5dahjcvplgo2nprtdab4y
« Previous
Showing results 1 — 15 out of 2,828 results