- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2523-3971
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Generalized linear models for analyzing count data of rainfall occurrences ; volume:3 ; number:4 ; day:20 ; month:3 ; year:2021 ; pages:1-15 ; date:4.2021
SN applied sciences ; 3, Heft 4 (20.3.2021), 1-15, 4.2021
- Creator
-
Sumi, Sharmin Nahar
Sinha, Narayan Chandra
Islam, M. Ataharul
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-021-04467-x
- URN
-
urn:nbn:de:101:1-2021061622481915917302
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Sumi, Sharmin Nahar
- Sinha, Narayan Chandra
- Islam, M. Ataharul
- SpringerLink (Online service)
Other Objects (12)
Urban development pattern’s influence on extreme rainfall occurrences
Analyzing semiquantitative phytoplankton counts
Analyzing spatial count data, with an application to weed counts
Analyzing endocytosis by generalized modeling
Analyzing rainfall effects on agricultural income: Why timing matters
Modeling count time series following generalized linear models
Negative binomial mixed models for analyzing microbiome count data
Chapter XX. Subsequent occurrences
Pittsburg - Situation - Manufactures - Occurrences - People
Keyword occurrences and journal specialization
Analyzing Temporal Trends of Urban Evaporation Using Generalized Additive Models
A heavy-tailed model for analyzing miRNA-seq raw read counts
Urban development pattern’s influence on extreme rainfall occurrences
Analyzing semiquantitative phytoplankton counts
Analyzing spatial count data, with an application to weed counts
Analyzing endocytosis by generalized modeling
Analyzing rainfall effects on agricultural income: Why timing matters
Modeling count time series following generalized linear models
Negative binomial mixed models for analyzing microbiome count data
Chapter XX. Subsequent occurrences
Pittsburg - Situation - Manufactures - Occurrences - People
Keyword occurrences and journal specialization
Analyzing Temporal Trends of Urban Evaporation Using Generalized Additive Models
A heavy-tailed model for analyzing miRNA-seq raw read counts
Urban development pattern’s influence on extreme rainfall occurrences
Analyzing semiquantitative phytoplankton counts
Analyzing spatial count data, with an application to weed counts
Analyzing endocytosis by generalized modeling
Analyzing rainfall effects on agricultural income: Why timing matters
Modeling count time series following generalized linear models
Negative binomial mixed models for analyzing microbiome count data
Chapter XX. Subsequent occurrences
Pittsburg - Situation - Manufactures - Occurrences - People
Keyword occurrences and journal specialization
Analyzing Temporal Trends of Urban Evaporation Using Generalized Additive Models