Varying coefficient single-index regression model with missing responses under rank-based modelling

Author:

Otlaadisa Masego1,Bindele Huybrechts F.2,Abebe Asheber3ORCID,Correia Hannah45ORCID

Affiliation:

1. Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Palapye, Botswana

2. Department of Mathematics and Statistics, University of South Alabama, Mobile, AL, USA

3. Mathematics and Statistics, Auburn University, Auburn, AL, USA

4. Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA

5. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference40 articles.

1. Robust estimation of single index models with responses missing at random

2. Alaska Fisheries Science Center (2019a), ‘AFSC/ABL: Longline Sablefish Survey’, Accessed 2014-04-14. https://noaa-fisheries-afsc.data.socrata.com/dataset/AFSC-ABL-Longline-Sablefish-Survey/itxd-qjvg/data.

3. Alaska Fisheries Science Center (2019b), ‘AFSC/RACE/GAP: RACEBASE Database’. http://www.afsc.noaa.gov/RACE/groundfish/survey_data/default.htm.

4. Alaska Fisheries Science Center (2020), ‘AFSC/ABL: Longline Sablefish Survey from 1979-05-24 to 2017-08-27’, Online, NOAA National Centers for Environmental Information. https://inport.nmfs.noaa.gov/inport/item/17218.

5. Community reorganization in the Gulf of Alaska following ocean climate regime shift

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