User:Zvika: Difference between revisions
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*[[Autoregressive moving average model]] is technical and is missing lots of info about MA processes |
*[[Autoregressive moving average model]] is technical and is missing lots of info about MA processes |
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=== Small === |
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*[[Probability of Detection]]->[[Statistical power]] (26/10) |
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== Cut and Paste == |
== Cut and Paste == |
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Revision as of 12:56, 19 October 2007
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Hi! I'm Zvika. I live in Haifa, Israel. I am an electrical engineering graduate student. Click here to see my homepage.
My vanity list
Articles that I have written or significantly modified include:
- The James-Stein estimator - new article
- Stein's example - rewritten from scratch
- Rewrote large parts of Exponential family (with User:Pdbailey)
- A major overhaul of sampling (signal processing), including merging two similar articles into it
- A translation to English of the article on the Jewish poet Rachel from the Hebrew version of Wikipedia
- Relative interior
- Bayes estimator
- Danskin's theorem
- Cramér-Rao bound - extensive modifications
- Anti-causal filter
Some medium-sized projects I've done include:
- Separating Bias (statistics) into estimator bias and sample bias
- Interwiki between the English language and Hebrew language wikipedias
- Editing Dirac delta function and related articles
- An attempt to reduce the amount of pseudoscience in the phrenology page
(Actually, I have since given up on this page. It's got too much pseudoscience people and skeptics arguing endlessly with one another.) - A section on the limitations of the linear least squares estimator
- Cleanup of Intellectual property in the performing arts in the United States
Toolbox
To do list
- Write Ziv–Zakai bound, Bayesian Cramér–Rao bound, Weiss–Weinstein bound (good reference: [1])
Related to random signals
- Purely indeterministic process, predictable process and other stuff about signal processing aspects of Wold decomposition
- Minimum mean square error is messy, incomplete and inaccurate, and needs an example
- Optimal linear estimation
- Orthogonality principle
- Chapman-Robbins bound
- Autoregressive moving average model is technical and is missing lots of info about MA processes
Small
Cut and Paste
References
- Grimmett, G. (2001). Probability and Random Processes. Oxford. pp. 3rd ed.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Lehmann, E. L. (1998). Theory of Point Estimation. Springer. pp. 2nd ed.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Porat, B. (1994). Digital Processing of Random Signals: Theory & Methods. Prentice Hall. ISBN 0130637513.