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Statistical parameter
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#	Item
351	PARAMETER IDENTIFICATION VIA THE ADJOINT METHOD: APPLICATION TO PROTEIN REGULATORY NETWORKS Robin L. Raffard ∗ Keith Amonlirdviman ∗∗ Jeffrey D. Axelrod ∗∗∗ Claire J. Tomlin ∗∗∗∗ Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2007-01-10 19:58:34 M-estimators Maximum likelihood Dimensional analysis Partial differential equation Polar coordinate system Expectation–maximization algorithm Statistics Estimation theory Statistical theory
352	Microsoft PowerPoint - Parameter Estimation.ppt [Read-Only] Add to Reading List Source URL: www.epa.gov Language: English - Date: 2008-05-16 09:01:45 Statistical theory Mathematical optimization Signal processing Log-normal distribution Maximum likelihood Normal distribution Least squares Statistics Estimation theory Regression analysis
353	Unit 1 descriptive modeling: A model that describes a problem or summarizes it in a simplified form. Models may include graphs, tables, algebraic equations, or geometric or statistical representations dimensional ana Add to Reading List Source URL: mdk12.org Language: English - Date: 2012-08-16 15:09:18 Regression analysis Statistical dependence Elementary mathematics Correlation and dependence Parameter Variable Correlation does not imply causation Function Probability distribution Statistics Mathematics Covariance and correlation
354	STATUS OF BIGEYE TUNA IN THE EASTERN PACIFIC OCEAN IN 2006 AND OUTLOOK Add to Reading List Source URL: www.iattc.org Language: English - Date: 2013-05-10 13:30:44 Measurement Statistical inference Stock assessment Maximum sustainable yield Sensitivity analysis Fish mortality Uncertainty Parameter Estimation theory Statistics Fish Fisheries science
355	Package ‘dslice’ July 4, 2014 Type Package Title Dynamic slicing Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-04 11:23:01 Statistical tests Mathematics Lambda calculus Environmental science Parameter Normality tests
356	UNITED STATES ENVIRONMENTAL PROTECTION AGENCY User ID: GYE DESIGN VALUE REPORT Report Request ID: Add to Reading List Source URL: epa.ohio.gov Language: English - Date: 2012-01-12 10:38:15 Completeness AS/400 Control Language Knowledge Science Statistical theory Statistic Parameter
357	Microsoft Word - Appendix E - Statistical Analysis Methodology _Biennial 20. Add to Reading List Source URL: des.nh.gov Language: English - Date: 2013-03-10 05:00:00 Regression analysis Econometrics Design of experiments Null hypothesis Statistical hypothesis testing Alternative hypothesis Linear regression Parameter Test statistic Statistics Hypothesis testing Statistical inference
358	UNITED STATES ENVIRONMENTAL PROTECTION AGENCY User ID: GYE DESIGN VALUE REPORT Report Request ID: Add to Reading List Source URL: www.epa.ohio.gov Language: English - Date: 2012-02-29 10:41:31 Completeness AS/400 Control Language Knowledge Science Statistical theory Statistic Parameter
359	UNITED STATES ENVIRONMENTAL PROTECTION AGENCY User ID: GYE DESIGN VALUE REPORT Report Request ID: Add to Reading List Source URL: www.epa.ohio.gov Language: English - Date: 2011-03-17 14:09:27 Statistic Percentile Completeness Parameter National Ambient Air Quality Standards Statistics Statistical theory Summary statistics
360	Discussion Article Discussion Andreas BUJA Gelman’s article is a thought-provoking mix of opinions and creative methodology. I agree with Gelman that the disjunction of models and exploratory data analysis (EDA) Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2007-10-12 12:46:12 Resampling Confidence interval Non-parametric statistics Parameter Maximum a posteriori estimation Mixture model Empirical Bayes method Statistics Statistical inference Bootstrapping

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