<--- Back to Details
First PageDocument Content
Statistical theory / Normal distribution / Importance sampling / Standard deviation / Sampling / Confidence interval / Gaussian process / Estimation theory / Errors and residuals in statistics / Statistics / Statistical inference / Measurement
Date: 2014-10-16 08:50:10
Statistical theory
Normal distribution
Importance sampling
Standard deviation
Sampling
Confidence interval
Gaussian process
Estimation theory
Errors and residuals in statistics
Statistics
Statistical inference
Measurement

Add to Reading List

Source URL: www.ieor.berkeley.edu

Download Document from Source Website

File Size: 484,31 KB

Share Document on Facebook

Similar Documents

IPA Safety Survey FINAL TOPLINE N = 2,202 Active IPA Pilots Field Dates: March 7-16, 2014 Margin of Error = 0.57% at the 95% Confidence Interval Demographics

DocID: 1rZvW - View Document

Ann Inst Stat Math:541–570 DOIs10463A general sequential fixed-accuracy confidence interval estimation methodology for a positive parameter: illustrations using health and safety data

DocID: 1rMZW - View Document

Statistics / Estimation theory / Regression analysis / Statistical inference / Measurement / Statistical theory / Confidence interval / Linear regression / Errors and residuals

HP Prime Technology Corner 28 The Practice of Statistics for the AP Exam, 5e Section 12-1, P. 751

DocID: 1rsR3 - View Document

Statistics / Descriptive statistics / Means / Summary statistics / Median / Normal distribution / Standard deviation / Geometric mean / Data transformation / Mode / Confidence interval / Central tendency

Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli

DocID: 1rsgk - View Document

Academia / Statistics / Statistical theory / Measurement / Estimation theory / Actuarial science / Cognition / Uncertainty / Intergovernmental Panel on Climate Change / Risk / Confidence interval / IPCC Fourth Assessment Report

Guidance Notes to Lead Authors of the

DocID: 1rr0q - View Document