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Development life expectancy model in Central Java using robust spatial regression with M-estimators
(Article) (Open Access), ,
Department of Statistics, Faculty of Sciences and Mathematics, Diponegoro University, Indonesia
Abstract
Spatial regression model is used to determine the relationship between the dependent and independent variables with spatial influence. In case only independent variables are affected, Spatial Cross Regressive (SCR) Model is formed.
Spatial Autoregressive (SAR) occurs when the dependent variables are affected, while Spatial Durbin Model (SDM) exists when both variables exhibit effects. The inaccuracy of the spatial regression model can be caused by outlier observations. Removing outliers in the analysis changes the spatial effects composition on data. However, using robust spatial regression is one way of overcoming the outliers in the model. Moreover, the typical parameter coefficients, which are robust against the outliers, are estimated using M-estimator. The research develops the life expectancy model in Central Java Province through Robust-SCR, Robust-SAR, and Robust-SDM to reduce spatial outliers' effect. The model is developed based on educational, health and economic factors. According to the results, M-estimator accommodates the outliers’ existence in the spatial regression model. This is indicated by an increase in R value and a decrease in MSE caused by the change in the estimating coefficient parameters. In this case, Robust- SDM is the best model since it has the biggest R value and the smallest MSE. © 2020 the author(s).
Author keywords
Life expectancy Robust Spatial outliers Spatial regression
Funding details
Funding sponsor Funding number Acronym
225-92/UN7.6.1/PP/2020
Funding text
The research is fully supported by DRPM-DIKTI with the 2020 PDUPT scheme [225-92/UN7.6.1/PP/2020]. The authors are grateful to the Directorate General of Higher Education for its funding and support.
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Communications in Mathematical Biology and Neuroscience Volume 2020, 2020, Article number 69, Pages 1-16
Yasin, H. Hakim, A.R. Warsito, B.
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Communications in Mathematical Biology and Neuroscience
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Triyani Hendrawati, Aji Hamim Wigena, I. Made Sumertajaya, Bagus Sartono
A new approach to clustering time series data using the ARIMA model uncertainty
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 52
I. Gede Nyoman Mindra Jaya, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Toni Toharudin
Spatial distribution of tuberculosis disease among men and women in Bandung city, Indonesia
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 53
Maranya M. Mayengo, Moatlhodi Kgosimore, Snehashish Chakraverty, Padmanabhan Seshaiyer, Carmen Caiseda, Gabriel Shirima
Mathematical models for the dynamics of alcohol related health risks with changing behavior via cultural beliefs in Tanzania
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 54
Felix Okoe Mettle, Prince Osei A , Emmanuel Kojo Aidoo, Shadrack Benn
Stochastic modeling approach of infectious disease with sir epidemiological compartment model
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 55
Toni Toharudin, Resa Septiani Pontoh, Solichatus Zahroh, Anthony Akbar, Neneng Sunengsih
Impact of large scale social restriction on the COVID-19 cases in East Java
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 56
Bidah Sara, Zakary Omar, Tridane Abdessamad, Rachik Mostafa, Ferjouchia Hanane
Parameters’ estimation, sensitivity analysis and model uncertainty for an in uenza a mathematical model: case of Morocco
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 57
Rinda Fitriani, I. Gede Nyoman Mindra Jaya
Spatial modeling of con rmed COVID-19 pandemic in East Java province by geographically weighted negative binomial regression
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 58
Isma Dwi Kurniawan, Cahyo Rahmadi, Rezzy Eko Caraka, Iman Aulia Rahman, Ida Kinasih, Toni Toharudin, Rung Ching Chen, Youngjo Lee
Correspondence between bats population and terrestrial cave-dwelling arthropods community in Tasikmalaya karst
10/16/2020 Commun. Math. Biol. Neurosci.
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areaCommun. Math. Biol. Neurosci., 2020 (2020), Article ID 59
Eric Okyere, Joseph Ackora-Prah, Francis Tabi Oduro A Caputo based SIRS and SIS fractional order models with standard incidence rate and varying population
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 60
Abiodun Ezekiel Owoyemi, Ibrahim Mohammed Sulaiman, Mustafa Mamat, Sunday Ezekiel Olowo, Olubodun Ayodeji Adebiyi, Zahrahtul Amani Zakaria
Analytic numeric solution of coronavirus (COVID-19) pandemic model in fractional - order
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 61
Meksianis Z. Ndii, Yudi Ari Adi
Modelling the transmission dynamics of COVID-19 under limited resources
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 62
I. Gede Nyoman Mindra Jaya, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Toni Toharudin
A relationship between temperature and precipitation over the contiguous Bandung city, Indonesia
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 63
Annord Mwapinga, Eunice Mureithi, James Makungu, Verdiana Masanja
Non-Newtonian heat and mass transfer on MHD blood ow through a stenosed artery in the presence of body exercise and chemical reaction
Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 64
Restu Arisanti, I. Made Sumertajaya, Khairil Anwar Notodiputro, Indahwati -
Firth bias correction for estimating variance components of logistics linear mixed model using penalized quasi likelihood method
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Linus N. Kisoma, Colin Torney, Dmitry Kuznetsov, Anna C.
Treydte
An investigation of power law distribution in wildebeest (Connochaetes taurinus) herds in Serengeti National Park, Tanzania
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Fia Fridayanti Adam, Anang Kurnia, I. Gusti Putu Purnaba, I.
Wayan Mangku, Agus M. Soleh
Tweedie compound Poisson model with rst order autoregressive time random e ect
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Mouhamadou A.M.T. Baldé, Coura Baldé, Babacar M. Ndiaye Impact studies of nationwide measures COVID-19 anti- pandemic: compartmental model and machine learning Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 68
Hasbi Yasin, Arief Rachman Hakim, Budi Warsito
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New automated optimal vaccination control with a multi- region SIRS epidemic mode
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Nasser Al-Salti, Fatma Al-Musalhi, Maryam Al-Yahyai, Ibrahim M. Elmojtaba
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Commun. Math. Biol. Neurosci.
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ISSN 2052-2541
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Editor-in-Chief:
Lansun Chen, Chinese Academy of Sciences, China
Associate Editors:
Marcos Amaku, Universidade de Sao Paulo, Brazil
Ioannis P. Androulakis, The State University of New Jersey, USA
Tiaza Bem, Institute of Biocybernetics and Biomedical Engineering, Poland Glenna C. L. Bett, State University of New York at Bu alo, USA
Anuj Chauhan, University of Florida, USA Fengde Chen, Fuzhou University, China
Ahmed Elaiw, King Abdulaziz University, Saudi Arabia Irina Erchova, Cardi University, UK
Wenjiang Fu, Michigan State University, USA Mladen Glavinovic, McGill University, Canada Hongjian Guo, Xinyang Normal University, China Stephen F. Hubbard, University of Dundee, UK Mahendra Kavdia, Wayne State University, USA Bing Liu, Anshan Normal University, China Maoxing Liu, North University of China, China
Hasan Al-Nashash, American University of Sharjah, UAE Fahima Nekka, Université de Montréal, Canada
Yongzhen Pei, Tianjin Polytechnic University, China Laurent Pezard, Aix-Marseille Université, France Mutasem O. Taha, University of Jordan, Jordan
Zhihui Wang, University of Texas Health Science Center at Houston, USA Alexander Zelikovsky, Georgia State University, USA
Hong Zhang, Jiangsu University, China
Managing Editors:
Fengde Chen, Yi Pan, Yongzhen Pei, Shi Shen, Yuan Tian, Kaifa Wang, Xia Wang
Commun. Math. Biol. Neurosci.
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We would like to take this opportunity to acknowledge the time and e ort devoted by reviewers to improving the quality of published papers in CMBN.
Mohamed Abdein (EG)
Fahad Al Basir (IN) Liming Chai (CN)
Hong Chao (CN) Xiaoxing Chen (CN) Liujuan Chen (CN) Xiaoyan Chen (CN) Chuanjun Dai (CN) Dejun Fan (CN) Jinbo Fu (CN) Jiatai Gang (CN) Meng Gao (CN) Caixia Gao (CN) Hongjian Guo (CN) Yongfeng Guo (CN) Rongyu Han (CN) Mingfeng He (CN) Mengxin He (CN)
Zerong He (CN) Jianjun Jiao (CN) Reji Kumar Karunakaran (IN)
Andrzej Kasperski (PL)
Lalashe Lengitengi (TZ) Zuxiong Li (CN)
Zhong Li (CN) Changpin Li (CN) Meili Li (CN) Xue-Zhi Li (CN) Yongfeng Li (CN) Zhao Liang (CN) Xiyin Liang (CN) Bing Liu (CN) Xianning Liu (CN) Shengqiang Liu (CN) Chao Liu (CN) Zhijun Liu (CN) Luju Liu (CN) Yijun Lou (HK) Yong Luo (CN) Yunfei Lv (CN) Changfeng Ma (CN) Zhihui Ma (CN) Wanbiao Ma (CN) Xinzhu Meng (CN) Ayman Mostafa (SA) Jacob Ongala (KE) Timothy Reluga (US) Zhenpei Shan (CN) Jianying Shao (CN) Ruiqing Shi (CN) Ruiqing Shi (CN)
Communications in Mathematical Biology and Neuroscience
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Hongying Shu (CN) Kaibiao Sun (CN) Mingjing Sun (CN) Shulin Sun (CN) Mingjing Sun (CN) Shulin Sun (CN) Yuanshun Tan (CN) Yuanshun Tan (CN) Xinxin Tan (CN)
Jianguo Tan (CN) Abdessamad Tridane (AE)
Lijuan Wang (CN)
Li Wang (CN) Weiming Wang (CN) Chunjin Wei (CN) Runxin Wu (CN) Yanni Xiao (CN) Xiangdong Xie (CN) Hang Xu (CN) Weijian Xu (CN) Rui Xu (CN)
Yalong Xue (CN) Ping Yan (CN) Kun Yang (CN) Liya Yang (CN) Xin Yu (CN) Tailei Zhang (CN) Xingan Zhang (CN) Hui Zhang (CN) Xianmin Zhang (CN) Chunhua Zhang (CN) Tianran Zhang (CN) Bin Zhao (CN) Zhong Zhao (CN) Lichun Zhao (CN) Xianfeng Zhou (CN)
Commun. Math. Biol. Neurosci.
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also developed by scimago: SCIMAGO INSTITUTIONS RANKINGS
Scimago Journal & Country Rank
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Communications in Mathematical Biology and Neuroscience
Country United Kingdom - SIR Ranking of United Kingdom
6
H Index Subject Area and Category Biochemistry, Genetics and Molecular Biology
Biochemistry, Genetics and Molecular Biology (miscellaneous) Mathematics
Applied Mathematics Neuroscience
Neuroscience (miscellaneous) Publisher SCIK Publishing Corporation Publication type Journals
ISSN 20522541 Coverage 2017-2020
Scope Information not localized
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Quartiles
10/16/2020 Communications in Mathematical Biology and Neuroscience
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The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
Category Year Quartile
Applied Mathematics 2018 Q4
Applied Mathematics 2019 Q3
Biochemistry Genetics and Molecular Biology (miscellaneous) 2018 Q3 SJR
The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scienti c in uence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scienti c in uence of the average article in a journal it expresses how central to the global
Citations per document
This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
Cites per document Year Value Cites / Doc. (4 years) 2017 0.000 Cites / Doc. (4 years) 2018 0.696 Cites / Doc. (4 years) 2019 0.929 Cites / Doc. (3 years) 2017 0.000 Cites / Doc. (3 years) 2018 0.696 Cites / Doc. (3 years) 2019 0.929 Cites / Doc. (2 years) 2017 0.000 Cites / Doc. (2 years) 2018 0.696 Cites / Doc. (2 years) 2019 0.929 Total Cites Self-Cites
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is de ned as the number of citation from a journal citing article to articles published by the same journal.
Cites Year Value
S lf Cit 2017 0
External Cites per Doc Cites per Doc Evolution of the number of total citation per document and external citation per document (i.e. journal self- citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.
Cit Y V l
% International Collaboration
International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.
Year International Collaboration 2017 13.04
2018 10 53 Citable documents Non-citable documents
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.
Documents Year Value
N it bl d t 2017 0
Cited documents Uncited documents Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.
Documents Year Value
Uncited documents 2017 0 Uncited documents 2018 19 Uncited documents 2019 28 Cited documents 2017 0 Applied Mathematics
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Neuroscience (miscellaneous)
2018 2019
0.14 0.21 0.28 0.35
Cites / Doc. (4 years) Cites / Doc. (3 years) Cites / Doc. (2 years)
2017 2018 2019
0 0.2 0.4 0.6 0.8 1
2017 2018 2019
0 20 40
2017 2018 2019
0 0.5 1
2017 2018 2019
9 12 15 18
2017 2018 2019
0 25 50
2017 2018 2019
0 25 50
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