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Parameter Estimation and Hypothesis Testing in Linear Models
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Citations
Cited by
Enriching Wayfinding Instructions with Local Landmarks
Raubal, M., & Winter, S. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45799-2_17 · Cited by 506
Estimation of protein secondary structure and error analysis from circular dichroism spectra
van Stokkum, I. H. M., Spoelder, H. J. W., Bloemendal, M., van Grondelle, R., & Groen, F. C. A. (1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90396-q · Cited by 502
Robust estimator for correlated observations based on bifactor equivalent weights
Yang, Y., Song, L., & Xu, T. (2002) · Journal of Geodesy · doi:10.1007/s00190-002-0256-7 · Cited by 349
Vienna mapping functions in VLBI analyses
Boehm, J., & Schuh, H. (2004) · Geophysical Research Letters · doi:10.1029/2003gl018984 · Cited by 271
Linking data to models: data regression
Jaqaman, K., & Danuser, G. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2030 · Cited by 243
Metadata
- Authors
- Koch, K.-R.
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 1999
- OpenAlex
- W1547669723
- Cited by
- 1,309
- References
- 0
- FWCI
- 4.92
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- CoChat. (2026). Citation check: Parameter Estimation and Hypothesis Testing in Linear Models. https://app.cochat.ai/papers/10.1007/978-3-662-03976-2
- The paper
- Koch, K.-R. (1999). Parameter Estimation and Hypothesis Testing in Linear Models. Springer eBooks. https://doi.org/10.1007/978-3-662-03976-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.