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Statistical parameter
Results: 516

#	Item
371	June 2014 Project-SET Sampling Variability Final Learning Trajectory 1,2 Add to Reading List Source URL: www.causeweb.org Language: English Sampling Measurement Statistical tests Statistical parameter Sampling distribution Sample size determination Confidence interval Parameter Statistic Statistics Statistical theory Statistical inference
372	diveRsity v1.7.6 Help Manual by Kevin Keenan [removed] http://diversityinlife.weebly.com/ January 21, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:39:21 Functional languages Statistical inference Cross-platform software Bootstrapping Data analysis R Parameter JavaScript Null Statistics Software engineering Computing
373	Microsoft Word - training_1c.doc Add to Reading List Source URL: webcast.hrsa.gov Language: English - Date: 2008-01-07 15:45:30 Hypothesis testing Sample size determination Statistical hypothesis testing Parameter Estimation theory Stratified sampling Statistics Statistical inference Sampling
374	MODELING OUT-OF-HOME RECREATIONAL ACTIVITY DURATION USING HAZARD-BASED DURATION MODELS WITH LATENT HETEROGENEITY Farhana Ferdous Graduate student, Dept. of Geography and Earth Sciences Add to Reading List Source URL: www.ctrf.ca Language: English - Date: 2012-11-12 13:50:18 Regression analysis Econometrics Accelerated failure time model Project management Proportional hazards models Dummy variable Log-logistic distribution Conceptual model Parameter Statistics Survival analysis Statistical models
375	LSAC RESEARCH REPORT SERIES  Testing for Aberrant Behavior in Response Time Modeling Sukaesi Marianti Add to Reading List Source URL: www.lsac.org Language: English - Date: 2014-04-23 11:38:20 Statistical theory Statistical models Educational psychology Item response theory Test Parameter F-test Statistic Autoregressive conditional heteroskedasticity Statistics Psychometrics Standardized tests
376	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: www.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
377	River Template File This memo discusses the format of the river template files. MODFLOW uses the river file to obtain the location of the river, the riverbed conductance, the riverbed thickness, and the stage of the rive Add to Reading List Source URL: www.idwr.idaho.gov Language: English - Date: 2014-07-22 14:22:44 Statistical theory Delimiter Parameter space Parameter AS/400 Control Language Science Computing MODFLOW United States Geological Survey
378	Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers Franz Pernkopf PERNKOPF @ TUGRAZ . AT Department of Electrical Engineering, Graz University of Technology, Inffeldgasse 16 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:47 Statistical models Statistical classification Naive Bayes classifier Generative model Bayesian network Pattern recognition Discriminative model Random naive Bayes Linear classifier Statistics Machine learning Bayesian statistics
379	UNCERTAINTY QUANTIFICATION OF LARGE-SCALE HEALTH ECONOMIC SIMULATION MODELS Tuan Dinh, PhD, Pengfei Zheng, MA, Archimedes Inc. San Francisco CA USA •Large scale simulation models (e.g. Archimedes Model, CORE, RTI-CDC, Add to Reading List Source URL: archimedesmodel.com Language: English - Date: 2013-11-21 18:00:01 Statistical inference Econometrics Measurement Process management Scientific modeling Sensitivity analysis Parameter Monte Carlo method Uncertainty quantification Statistics Mathematical sciences Probability and statistics
380	Package ‘mlr’ July 21, 2014 Title mlr: Machine Learning in R. Description Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an e Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-21 14:08:03 Statistical inference Data analysis Machine learning Resampling Benchmark Bootstrapping Training set Constructor Function Statistics Information Science

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