User:Zvika
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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.
[edit] My vanity list
New articles
- Anti-causal filter
- Bayes estimator
- Chapman–Robbins bound
- Danskin's theorem
- James-Stein estimator
- L-estimator
- Relative interior
- Stein's unbiased risk estimate
Major changes
- Cramér-Rao bound - extensive modifications
- Exponential family - large parts rewritten (with User:Pdbailey)
- Minimum mean square error - cleanup
- Rachel (poet) translated from the Hebrew Wikipedia
- Sampling (signal processing) - major overhaul
- Stein's example - rewritten from scratch
Other
- Separating Bias (statistics) into estimator bias and sample bias
- Changes to Dirac delta function and related articles
- An attempt to reduce the amount of pseudoscience in the phrenology page
- A section on the limitations of the linear least squares estimator
- Location parameter expanded
[edit] Toolbox
[edit] To do list
- Copyedit redescending M-estimator, invariant estimator, Bayes estimator
- Write Ziv–Zakai bound, Bayesian Cramér–Rao bound, Weiss–Weinstein bound (good reference: [1])
- Barankin bound
[edit] Related to random signals
- Optimal linear estimation
- Orthogonality principle
- Autoregressive moving average model is technical and is missing lots of info about MA processes
[edit] Related to optimization
- Strong duality
- Slater's condition/Slater condition
- Constraint qualification
[edit] Cut and Paste
[edit] References
- Grimmett, G.; Stirzaker, D. (2001). Probability and Random Processes. Oxford, 3rd ed.
- Lehmann, E. L.; Casella, G. (1998). Theory of Point Estimation. Springer, 2nd ed. ISBN 0-387-98502-6.
- Kay, S. M. (1993). Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice Hall. ISBN 0-13-042268-1.
- Porat, B. (1994). Digital Processing of Random Signals: Theory & Methods. Prentice Hall. ISBN 0130637513.
- Rudin, W. (1991), Functional Analysis (2nd ed.), Boston, MA: McGraw-Hill, ISBN 0-07-054236-8
- Shao, Jun (1998), Mathematical Statistics, New York: Springer, ISBN 0-387-98674-X
