Resampling

Results: 951



#Item
241Confidence interval / Sample size determination / Point estimation / Statistic / Median / Normal distribution / Random sample / Resampling / Margin of error / Statistics / Statistical inference / Bootstrapping

Weights of Male Students We have access to 521 males who were recently enrolled in Stage 1 Statistics at the University of Auckland. We want to find out about the pattern (distribution) of the weights of these 521 male

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Source URL: new.censusatschool.org.nz

Language: English - Date: 2012-12-04 18:16:41
242Bootstrapping / Data analysis / Resampling / Software engineering / C / Statistics / Statistical inference / Computing

Extracted from: Node.js the Right Way Practical, Server-Side JavaScript That Scales This PDF file contains pages extracted from Node.js the Right Way, published by

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Source URL: media.pragprog.com

Language: English - Date: 2013-11-20 11:26:55
243Statistical tests / Statistical hypothesis testing / Alternative hypothesis / Null hypothesis / Resampling / Multiple comparisons / Likelihood-ratio test / Statistical power / Test statistic / Statistics / Hypothesis testing / Statistical inference

Microsoft Word - JBD397432_Figures_ed[1].doc

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Source URL: research.fh-ooe.at

Language: English - Date: 2015-04-19 22:00:51
244Model selection / Global variable / Environment variable / Command-line interface / Resampling / Iris flower data set / Default / Accuracy and precision / Statistics / Machine learning / Cross-validation

October 7, 1996 odor musty foul

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Source URL: ai.stanford.edu

Language: English - Date: 2010-11-19 01:31:15
245Computational statistics / Data analysis / Monte Carlo methods / Bootstrapping / Resampling / Apache Hadoop / Sample size determination / Bootstrap aggregating / Standard error / Statistics / Statistical inference / Sampling

Early Accurate Results for Advanced Analytics on MapReduce arXiv:1207.0142v1 [cs.DB] 30 Jun[removed]Nikolay Laptev

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Source URL: labs.yahoo.com

Language: English - Date: 2015-02-04 18:31:42
246Mathematical sciences / Statistical inference / Bootstrapping / Data analysis / Resampling / Function / Emmy Noether / Education in the United States / ProgramByDesign / Statistics / Mathematics / Mathematics education

Transferring Skills at Solving Word Problems from Computing to Algebra Through Bootstrap Emmanuel Schanzer, Kathi Fisler, Shriram Krishnamurthi, Matthias Felleisen Harvard Graduate School of Education, WPI Computer Scien

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Source URL: www.ccs.neu.edu

Language: English - Date: 2015-03-24 18:44:54
247Parasites / Data analysis / Means / Bootstrapping / Resampling / Nematode / Average / Pearson product-moment correlation coefficient / Saiga Antelope / Statistics / Statistical inference / Summary statistics

Chapter 6 – Measuring the distribution of parasites among saigas and livestock 6.1 Introduction In measuring parasite abundance and distribution between host groups, it is important to consider how well parasite count

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Source URL: www.iccs.org.uk

Language: English - Date: 2012-10-29 03:40:01
248Data analysis / Statistical theory / Bootstrapping / Resampling / Confidence interval / Normal distribution / M-estimator / Maximum likelihood / Statistics / Statistical inference / Estimation theory

The Bootstrap Small Sample Properties1 F.W. Scholz University of Washington June 25, [removed]edited

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Source URL: www.stat.washington.edu

Language: English - Date: 2007-06-25 13:19:44
249Monte Carlo methods / Resampling / Bootstrapping / Cross-validation / Mode / Bootstrap aggregating / Statistics / Statistical inference / Computational statistics

Chapter 8 lecture questions Q1: After you completed the 5-fold cross-validation, some new data have become available. How would you make predictions with the new data? Answer: With 5-fold cross-validation, you built 5 mo

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-11-08 19:43:31
250Machine learning / Computational science / Econometrics / Cross-validation / Resampling / Bootstrapping / Bootstrap aggregating / Numerical weather prediction / Overfitting / Statistics / Statistical inference / Computational statistics

8.6 Bayesian neural networks (BNN) [Book, Sect[removed]While cross-validation allows one to find the weight penalty parameters which would give the model good generalization capability, the separation of the data record in

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-11-09 02:48:24
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