2015
DOI: 10.1002/9781119047063
|View full text |Cite
|
Sign up to set email alerts
|

Statistics for Scientists and Engineers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
20
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 40 publications
(20 citation statements)
references
References 0 publications
0
20
0
Order By: Relevance
“…Hence, the odds ratio (OR) between under restrictions versus no restriction situation is , after algebraic simplifications. See Shanmugam and Chattamvelli [ 11 ] for details about the application of the odds and odds ratio in data analytics. The discrete hazard rate , in under restrictions compared with such quantity, in no restriction situation.…”
Section: Appendixmentioning
confidence: 99%
“…Hence, the odds ratio (OR) between under restrictions versus no restriction situation is , after algebraic simplifications. See Shanmugam and Chattamvelli [ 11 ] for details about the application of the odds and odds ratio in data analytics. The discrete hazard rate , in under restrictions compared with such quantity, in no restriction situation.…”
Section: Appendixmentioning
confidence: 99%
“…• the original time series, represented by a string; • the original time series minimum, maximum, average, and variance numerical values; • the skewness and kurtosis numerical values [58], generated from the original time series; • the slope time series, derived from the original one and represented by a string; • the slope time series minimum, maximum, average, and variance numerical values; • the skewness and kurtosis numerical values [58], obtained from the slope time series.…”
Section: Ucr Time Series Classification Taskmentioning
confidence: 99%
“…m m m = -   . To quantify the intermittency of the time-series, the Fisher-Pearson coefficient of skewness (see [35], henceforth γ) was chosen [17], as it is dominantly affected by the presence of outliers (peaks) w.r.t. the mean of the signal, through the use of its 3rd central moment [36,37].…”
Section: Quantifying Intermittencymentioning
confidence: 99%