scholarly journals An investigation of bootstrap interval coverage and sampling efficiency in psychometric functions

2010 ◽  
Vol 1 (3) ◽  
pp. 51-51
Author(s):  
J. Hill
Keyword(s):  
Sampling Efficiency ◽  
Bootstrap Interval ◽  
Interval Coverage

Characteristics Sampling Efficiency and Battery Life of Smart Air Sampler System (SASS) 3000 and SASS 3100

2010 ◽  
Author(s):  
Jana Kesavan ◽  
Deborah Schepers ◽  
Tiffany Sutton ◽  
Paul Deluca ◽  
Michael Williamson ◽  
...  
Keyword(s):  
Battery Life ◽  
Sampling Efficiency ◽  
Air Sampler

Suction Lysimeter Modifications to Improve Sampling Efficiency and Prevent Wildlife Damage

2006 ◽  
Vol 5 (1) ◽  
pp. 77-79 ◽  
Author(s):  
Charles G. Crabtree ◽  
Tina M. Seaman
Keyword(s):  
Sampling Efficiency ◽  
Wildlife Damage

Day-ahead Load Probabilistic Forecasting Based on Space-time Correction

2020 ◽  
Vol 13 ◽  
Author(s):  
Fei Jin ◽  
Xiaoliang Liu ◽  
Fangfang Xing ◽  
Guoqiang Wen ◽  
Shuangkun Wang ◽  
...  
Keyword(s):  
Short Term Memory ◽  
Northern China ◽  
Space Time ◽  
Load Prediction ◽  
Probabilistic Forecasting ◽  
Residual Distribution ◽  
Time And Space ◽  
Probability Prediction ◽  
Time Correction ◽  
Interval Coverage

Background : The day-ahead load forecasting is an essential guideline for power generating, and it is of considerable significance in power dispatch. Objective: Most of the existing load probability prediction methods use historical data to predict a single area, and rarely use the correlation of load time and space to improve the accuracy of load prediction. Methods: This paper presents a method for day-ahead load probability prediction based on space-time correction. Firstly, the kernel density estimation (KDE) is employed to model the prediction error of the long short-term memory (LSTM) model, and the residual distribution is obtained. Then the correlation value is used to modify the time and space dimensions of the test set's partial period prediction values. Results: The experiment selected three years of load data in 10 areas of a city in northern China. The MAPE of the two modified models on their respective test sets can be reduced by an average of 10.2% and 6.1% compared to previous results. The interval coverage of the probability prediction can be increased by an average of 4.2% and 1.8% than before. Conclusion: The test results show that the proposed correction schemes are feasible.

scholarly journals Evaluation of physical sampling efficiency for cyclone-based personal bioaerosol samplers in moving air environments

2012 ◽  
Vol 14 (9) ◽  
pp. 2430 ◽  
Author(s):  
Wei-Chung Su ◽  
Alexander D. Tolchinsky ◽  
Bean T. Chen ◽  
Vladimir I. Sigaev ◽  
Yung Sung Cheng
Keyword(s):  
Sampling Efficiency

An investigation of directed support gas flows for the improvement of sampling efficiency in glow discharges

1992 ◽  
Vol 47 (10) ◽  
pp. 1203-1220 ◽  
Author(s):  
P.R. Banks ◽  
M.W. Blades
Keyword(s):  
Gas Flows ◽  
Sampling Efficiency ◽  
Glow Discharges

Confidence Interval Coverage for Designed Experiments Analyzed with GLMs

2001 ◽  
Vol 33 (3) ◽  
pp. 279-292 ◽  
Author(s):  
Sharon L. Lewis ◽  
Douglas C. Montgomery ◽  
Raymond H. Myers
Keyword(s):  
Confidence Interval ◽  
Designed Experiments ◽  
Confidence Interval Coverage ◽  
Interval Coverage

Sampling Efficiency for Mass Recovery Calculations

1993 ◽  
pp. 187-199
Author(s):  
Markus Flury
Keyword(s):  
Sampling Efficiency ◽  
Mass Recovery

scholarly journals Dimethylamine and ammonia measurements with ion chromatography during the CLOUD4 campaign

2012 ◽  
Vol 5 (9) ◽  
pp. 2161-2167 ◽  
Author(s):  
A. P. Praplan ◽  
F. Bianchi ◽  
J. Dommen ◽  
U. Baltensperger
Keyword(s):  
Cosmic Rays ◽  
Sulphuric Acid ◽  
Ion Chromatography ◽  
Galactic Cosmic Rays ◽  
Cloud Chamber ◽  
Sampling Efficiency ◽  
Environmental Chamber ◽  
Mixing Ratios ◽  
Sampling Line ◽  
New Particles

Abstract. The CLOUD project investigates the influence of galactic cosmic rays on the nucleation of new particles in an environmental chamber at CERN. Dimethylamine (DMA) was injected intentionally into the CLOUD chamber to reach atmospherically relevant levels away from sources (up to 100 pptv) in order to study its effect on nucleation with sulphuric acid and water at 278 K. Quantification of DMA and also background ammonia (NH3) was performed with ion chromatography (IC). The IC method used together with the sampling line developed for CLOUD in order to measure NH3 and DMA at low pptv levels is described; the overall sampling efficiency of the method is discussed; and, finally, mixing ratios of NH3 and DMA measured during CLOUD4 are reported.

Sampling efficiency for an alternating poisson process

1990 ◽  
Vol 19 (9) ◽  
pp. 3175-3178 ◽  
Author(s):  
Elinor S. Pape
Keyword(s):  
Poisson Process ◽  
Sampling Efficiency
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