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Projection pursuit regression for moderate non-linearities
Aldrin, Magne; Bolviken, Erik; Schweder, Tore - In: Computational Statistics & Data Analysis 16 (1993) 4, pp. 379-403
Persistent link: https://www.econbiz.de/10005081940
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Bayesian Population Dynamics of Interacting Species: Great Gerbils and Fleas in Kazakhstan
Frigessi, Arnoldo; Holden, Marit; Marshall, Clare; … - In: Biometrics 61 (2005) 1, pp. 230-238
Persistent link: https://www.econbiz.de/10010947263
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Moderate projection pursuit regression for multivariate response data
Aldrin, Magne - In: Computational Statistics & Data Analysis 21 (1996) 5, pp. 501-531
Persistent link: https://www.econbiz.de/10005081736
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Length modified ridge regression
Aldrin, Magne - In: Computational Statistics & Data Analysis 25 (1997) 4, pp. 377-398
Persistent link: https://www.econbiz.de/10005082034
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Improved predictions penalizing both slope and curvature in additive models
Aldrin, Magne - In: Computational Statistics & Data Analysis 50 (2006) 2, pp. 267-284
Persistent link: https://www.econbiz.de/10005154223
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Discussion
Schweder, Tore - In: International Statistical Review 71 (2003) 2, pp. 303-307
Persistent link: https://www.econbiz.de/10010728349
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Abundance Estimation from Multiple Photo Surveys: Confidence Distributions and Reduced Likelihoods for Bowhead Whales off Alaska
Schweder, Tore - In: Biometrics 59 (2003) 4, pp. 974-983
Persistent link: https://www.econbiz.de/10010947371
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Simulated Likelihood Methods for Complex Double-Platform Line Transect Surveys
Schweder, Tore; Skaug, Hans J.; Langaas, Mette; … - In: Biometrics 55 (1999) 3, pp. 678-687
Persistent link: https://www.econbiz.de/10010948221
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Hazard Models for Line Transect Surveys with Independent Observers
Skaug, Hans J.; Schweder, Tore - In: Biometrics 55 (1999) 1, pp. 29-36
Persistent link: https://www.econbiz.de/10010948319
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Advanced Distance Sampling: Estimating Abundance of Biological Populations. S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas.
Schweder, Tore - In: Journal of the American Statistical Association 102 (2007) June, pp. 763-764
Persistent link: https://www.econbiz.de/10005238661