Akaike Information Criterion Applied to Detecting First Arrival Times on Microseismic Data

doi 10.1190/1.3627522
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Society of Exploration Geophysicists

Related search

Detection of Outlying Observations Using the Akaike Information Criterion

Biometrical Letters
2013English

Development of Bicycle Throw Distance Estimation Model Based on Akaike Information Criterion Statistical Method

Journal of Ergonomics
2015English

A Fuzzy C-Means Assisted AIC Workflow for Arrival Picking on Downhole Microseismic Data

2019English

Akaike Information Criterion for Selecting Components of the Mean Vector in High Dimensional Data With Fewer Observations

JOURNAL OF THE JAPAN STATISTICAL SOCIETY
2008English

Table S3: Nucleotide Substitution Models Selected for Data Partitioning Using the Akaike Information Criterion in MEGA V7.0

English

Accurate Method for Picking Up the First Arrival Time of Microseismic Signals Based on Entropy Theory

Advances in Civil Engineering
CivilStructural Engineering
2019English

Complexity Versus Simplicity: An Example of Groundwater Model Ranking With the Akaike Information Criterion

Hydrology and Earth System Sciences Discussions
EarthEarth-Surface ProcessesPlanetary Sciences
2012English

Speaker Model Selection Based on the Bayesian Information Criterion Applied to Unsupervised Speaker Indexing

IEEE Transactions on Speech and Audio Processing
2005English

A Multistep Method for Automatic Determination and Optimization of Microseismic P-Phase Arrival Times in a Coal Mine

Advances in Civil Engineering
CivilStructural Engineering
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy