Vote for your favorite mineral in #MinCup25! - Sanidine vs. Hematite
It's a pair of often-overlooked classics as potassium feldspar sanidine competes with iron ore hematite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Sari, Mehmet (2020) Evaluation of rock slopes susceptible to circular failures using logistic and multiple regression models. Arabian Journal of Geosciences, 13 (2) doi:10.1007/s12517-019-5033-5

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleEvaluation of rock slopes susceptible to circular failures using logistic and multiple regression models
JournalArabian Journal of Geosciences
AuthorsSari, MehmetAuthor
Year2020 (January)Volume13
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-019-5033-5Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID961076Long-form Identifiermindat:1:5:961076:1
GUID0
Full ReferenceSari, Mehmet (2020) Evaluation of rock slopes susceptible to circular failures using logistic and multiple regression models. Arabian Journal of Geosciences, 13 (2) doi:10.1007/s12517-019-5033-5
Plain TextSari, Mehmet (2020) Evaluation of rock slopes susceptible to circular failures using logistic and multiple regression models. Arabian Journal of Geosciences, 13 (2) doi:10.1007/s12517-019-5033-5
In(2020, January) Arabian Journal of Geosciences Vol. 13 (2) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Buya, Suhaimee, Tongkumchum, Phattrawan, Owusu, Bright Emmanuel (2020) Modelling of land-use change in Thailand using binary logistic regression and multinomial logistic regression. Arabian Journal of Geosciences, 13 (12) doi:10.1007/s12517-020-05451-2
Sari, Mehmet (2019) Incorporation of uncertainty in estimating the rock mass uniaxial strength using a fuzzy inference system. Arabian Journal of Geosciences, 12 (2) doi:10.1007/s12517-018-4169-z
Forghani, Seyed Javad, Pahlavan-Rad, Mohammad Reza, Esfandiari, Mehrdad, Torkashvand, Ali Mohammadi (2020) Spatial prediction of WRB soil classes in an arid floodplain using multinomial logistic regression and random forest models, south-east of Iran. Arabian Journal of Geosciences, 13 (13) doi:10.1007/s12517-020-05576-4
Wang, Qiqing, Lin, Yuxiang, Li, Wenping, Yu, Xiaoyang, Zhang, Yong (2022) GIS-based evaluation of water-inrush risk from coal floor using logistic regression and certainty factor models. Arabian Journal of Geosciences, 15 (3) doi:10.1007/s12517-022-09501-9
Solaimani, K., Mousavi, Seyedeh Zohreh, Kavian, Ataollah (2013) Landslide susceptibility mapping based on frequency ratio and logistic regression models. Arabian Journal of Geosciences, 6 (7) 2557-2569 doi:10.1007/s12517-012-0526-5
Kayabasi, Ali (2020) Evaluation of a reservoir landslide: a case study from Artvin, Turkey. Arabian Journal of Geosciences, 13 (2) doi:10.1007/s12517-019-5021-9
Li, Ning, Li, Guofeng, He, Mingming (2021) Key techniques for the analysis and evaluation of high rock slopes. Arabian Journal of Geosciences, 14 (12) doi:10.1007/s12517-021-07505-5
Nagaraju, T. Vamsi, Prasad, Ch. Durga (2020) Swarm-assisted multiple linear regression models for compression index (Cc) estimation of blended expansive clays. Arabian Journal of Geosciences, 13 (9) doi:10.1007/s12517-020-05287-w
Tekin, Senem (2021) Completeness of landslide inventory and landslide susceptibility mapping using logistic regression method in Ceyhan Watershed (southern Turkey) Arabian Journal of Geosciences, 14 (17) doi:10.1007/s12517-021-07583-5
Wang, Min, Cai, Longyan, Xu, Hui, Zhao, Shengli (2019) Predicting land use changes in northern China using logistic regression, cellular automata, and a Markov model. Arabian Journal of Geosciences, 12 (24) doi:10.1007/s12517-019-4985-9
Al-Juaidi, Ahmed E. M., Nassar, Ayman M., Al-Juaidi, Omar E. M. (2018) Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors. Arabian Journal of Geosciences, 11 (24) doi:10.1007/s12517-018-4095-0
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 7, 2025 02:28:55
Go to top of page