Volume 10.
(as bibtex)
27 references.
Articles
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1-8. Perspectives for investigating data of a psychological survey
Schweizer, Karl
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113-127. Trellis displays vs. interactive graphics
Theus, Martin
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129-141. Bounded-variable least-squares: An algorithm and applications
Stark, P. B.,
Parker, R. L.
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143-154. Computing the error for smoothing splines
van der Linde, Angelika
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15-20. Discriminant and cluster analysis
Wernecke, K.-D.
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155-175. A shape constrained smoother: Simulation study
Delecroix, M.,
Simioni, M.,
Thomas-Agnan, C.
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177-192. On the determination of lag order in vector autoregressions of cointegrated systems
Jacobson, Tor
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205-231. The fast Monte-Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems (Disc: p233-258)
Girard, D. A.
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21-27. Hierarchical cluster analysis
Fischer, J.
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233-234. Comment on ``The fast Monte Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems''
Burman, P.
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235-238. Comment on ``The fast Monte Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems'' )
Godtliebsen, F.,
Rue, H.
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239-241. Comment on ``The fast Monte Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems''
Hudson, H. M.,
Lee, T. C. M.
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243-248. Comment on ``The fast Monte Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems'' (Corr: 96V11 p87-90)
Kay, J.
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249-250. Comment on ``The fast Monte Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems''
Wahba, G.
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251-258. Reply to comments on ``The fast Monte Carlo cross-validation and $C_L$ procedures: Comments, new results and application to image recovery problems''
Girard, D. A.
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259-283. Minimax estimation of linear functionals, particularly in nonparametric regression and positron emission tomography
Stander, J.,
Silverman, B. W.
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285-298. A nonparametric model for unbalanced longitudinal data with application to geophysical data
Boularan, J.,
Ferre, L.,
Vieu, P.
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29-36. Look first, then model: Exploring the data using the interactive graphics of PC-ISP
Huber, Thomas M.,
Nagel, Matthias
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299-306. An efficient algorithm for weighted PCA
Krijnen, W. P.,
Kiers, H. A. L.
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311-325. Low-storage quantile estimation
Hurley, C.,
Modarres, R.
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327-338. Efficient implementation of some contextual classification methods
Flygare, A.-M.,
Barrlund, A.
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339-351. A fixed effect curvilinear model
Besse, P. C.,
Ferraty, F.
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353-373. Posterior analysis of stochastic frontier models using Gibbs sampling
Koop, G.,
Steel, M. F. J.,
Osiewalski, J.
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43-51. Methodological comments relating to the presented classificatory and data-analytic methods
Bock, Hans H.
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53-69. A regularization method for one-dimensional edge detection and edge-preserving smoothing
Cheng, Bing,
Kay, Jim
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71-90. Sensitivity functions and numerical analysis of the repeated median slope
Hossjer, Ola,
Hoessjer, Ola,
Rousseeuw, Peter J.,
Croux, Christophe,
Hössjer, Ola
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9-14. Classification trees
Vach, W.