Absolute and relative locations of earthquakes at Mount St. Helens, Washington, using continuous data: Implications for magmatic processes

2008 ◽  
pp. 71-95 ◽  
Author(s):  
Weston A. Thelen ◽  
Robert S. Crosson ◽  
Kenneth C. Creager
Keyword(s):  
Continuous Data ◽  
Magmatic Processes ◽  
Mount St Helens

scholarly journals Excess argon in Mount St. Helens plagioclase as a recorder of magmatic processes

2001 ◽  
Vol 28 (22) ◽  
pp. 4279-4282 ◽  
Author(s):  
Paul W. Layer ◽  
James E. Gardner
Keyword(s):  
Excess Argon ◽  
Magmatic Processes ◽  
Mount St Helens

Investigation of long-term geochemical variations and magmatic processes at Mount St. Helens

Geofluids ◽  
2013 ◽  
Vol 13 (4) ◽  
pp. 440-452 ◽  
Author(s):  
M. J. Severs ◽  
K. J. Gryger ◽  
S. A. Makin ◽  
R. J. Bodnar ◽  
W. B. Bradford
Keyword(s):  
Magmatic Processes ◽  
Geochemical Variations ◽  
Mount St Helens

Constructing and model-fitting receiver operator characteristics using continuous data.

2018 ◽  
Author(s):  
Josephine Ann Urquhart ◽  
Akira O'Connor
Keyword(s):  
Signal Detection ◽  
Least Squares Method ◽  
Model Fitting ◽  
Simulated Data ◽  
Continuous Variable ◽  
Continuous Data ◽  
Model Parameters ◽  
Operating Characteristics ◽  
Unequal Variance ◽  
Discrete Discrimination

Receiver operating characteristics (ROCs) are plots which provide a visual summary of a classifier’s decision response accuracy at varying discrimination thresholds. Typical practice, particularly within psychological studies, involves plotting an ROC from a limited number of discrete thresholds before fitting signal detection parameters to the plot. We propose that additional insight into decision-making could be gained through increasing ROC resolution, using trial-by-trial measurements derived from a continuous variable, in place of discrete discrimination thresholds. Such continuous ROCs are not yet routinely used in behavioural research, which we attribute to issues of practicality (i.e. the difficulty of applying standard ROC model-fitting methodologies to continuous data). Consequently, the purpose of the current article is to provide a documented method of fitting signal detection parameters to continuous ROCs. This method reliably produces model fits equivalent to the unequal variance least squares method of model-fitting (Yonelinas et al., 1998), irrespective of the number of data points used in ROC construction. We present the suggested method in three main stages: I) building continuous ROCs, II) model-fitting to continuous ROCs and III) extracting model parameters from continuous ROCs. Throughout the article, procedures are demonstrated in Microsoft Excel, using an example continuous variable: reaction time, taken from a single-item recognition memory. Supplementary MATLAB code used for automating our procedures is also presented in Appendix B, with a validation of the procedure using simulated data shown in Appendix C.

Database for geologic maps of pyroclastic-flow and related deposits of the 1980 eruptions of Mount St. Helens, Washington

Data Series ◽  
2017 ◽  
Author(s):  
Andrew J. Furze ◽  
Joseph A. Bard ◽  
Joel Robinson ◽  
David W. Ramsey ◽  
Mel A. Kuntz ◽  
...  
Keyword(s):  
Pyroclastic Flow ◽  
Geologic Maps ◽  
Mount St Helens

Mount St. Helens ash fall in the Bull Run watershed, Oregon, March-April 1980

1980 ◽  
Author(s):  
Michael V. Shulters ◽  
Daphne G. Clifton
Keyword(s):  
Ash Fall ◽  
Mount St Helens
Sign in / Sign up

Export Citation Format

Share Document