Encyclopedia of Statistical Sciences 2005
DOI: 10.1002/0471667196.ess0876.pub2
|View full text |Cite
|
Sign up to set email alerts
|

Geometric Distribution

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2011
2011
2011
2011

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 20 publications
0
1
0
Order By: Relevance
“…In expression (5), ⌊1/p⌋ denotes the greatest integer smaller than or equal to 1/p [Kapadia, 1983]. The reason why we focus on the mean absolute deviation, and not, e.g., on the standard deviation, is that the waiting time between the DO events 1 and 2 is considerably larger than between the other events ( Figure 1), and that the mean absolute deviation is less sensitive to the presence of such outliers than the standard deviation.…”
Section: H0: a Simple One-parameter Random Process (Geometric Distribmentioning
confidence: 99%
“…In expression (5), ⌊1/p⌋ denotes the greatest integer smaller than or equal to 1/p [Kapadia, 1983]. The reason why we focus on the mean absolute deviation, and not, e.g., on the standard deviation, is that the waiting time between the DO events 1 and 2 is considerably larger than between the other events ( Figure 1), and that the mean absolute deviation is less sensitive to the presence of such outliers than the standard deviation.…”
Section: H0: a Simple One-parameter Random Process (Geometric Distribmentioning
confidence: 99%