Pub Date : 2020-09-30DOI: 10.37920/sasj.2020.54.2.8
A. Taiwo, T. O. Olatayo, S. A. Agboluaje
{"title":"Time series model building with Fourier autoregressive model","authors":"A. Taiwo, T. O. Olatayo, S. A. Agboluaje","doi":"10.37920/sasj.2020.54.2.8","DOIUrl":"https://doi.org/10.37920/sasj.2020.54.2.8","url":null,"abstract":"","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":" ","pages":""},"PeriodicalIF":0.3,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44212017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-30DOI: 10.37920/sasj.2020.54.2.5
R. Luus, A. Neethling, T. Wet
{"title":"Prediction error estimation of the survey-weighted least squares model under complex sampling","authors":"R. Luus, A. Neethling, T. Wet","doi":"10.37920/sasj.2020.54.2.5","DOIUrl":"https://doi.org/10.37920/sasj.2020.54.2.5","url":null,"abstract":"","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":" ","pages":""},"PeriodicalIF":0.3,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48264115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-30DOI: 10.37920/sasj.2020.54.2.1
A. Benkhaled, Fethi Madani, S. Khardani
{"title":"Asymptotic normality of the local linear estimation of the conditional density for functional dependent and censored data","authors":"A. Benkhaled, Fethi Madani, S. Khardani","doi":"10.37920/sasj.2020.54.2.1","DOIUrl":"https://doi.org/10.37920/sasj.2020.54.2.1","url":null,"abstract":"","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":"54 1","pages":"131-151"},"PeriodicalIF":0.3,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49346413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-30DOI: 10.37920/sasj.2020.54.2.7
Bonginkosi D. Ndlovu, S. Melesse, T. Zewotir
{"title":"A nonparametric vertical model : an application to discrete time competing risks data with missing failure causes","authors":"Bonginkosi D. Ndlovu, S. Melesse, T. Zewotir","doi":"10.37920/sasj.2020.54.2.7","DOIUrl":"https://doi.org/10.37920/sasj.2020.54.2.7","url":null,"abstract":"","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":" ","pages":""},"PeriodicalIF":0.3,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47262308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-16DOI: 10.37920/SASJ.2021.55.1.1
A. Aw, E. Cabral
Spatial autoregressive combined (SAC) model has been widely studied in the literature for the analysis of spatial data in various areas such as geography, economics, demography, regional sciences. This is a linear model with scalar response, scalar explanatory variables and which allows for spatial interactions in the dependent variable and the disturbances. In this work we extend this modeling approach from scalar to functional covariate. The parameters of the model are estimated via the maximum likelihood estimation method. A simulation study is conducted to evaluate the performance of the proposed methodology. As an illustration, the model is used to establish the relationship between unemployment and illiteracy in Senegal.
{"title":"Functional SAC model : with application to spatial econometrics","authors":"A. Aw, E. Cabral","doi":"10.37920/SASJ.2021.55.1.1","DOIUrl":"https://doi.org/10.37920/SASJ.2021.55.1.1","url":null,"abstract":"Spatial autoregressive combined (SAC) model has been widely studied in the literature for the analysis of spatial data in various areas such as geography, economics, demography, regional sciences. This is a linear model with scalar response, scalar explanatory variables and which allows for spatial interactions in the dependent variable and the disturbances. In this work we extend this modeling approach from scalar to functional covariate. The parameters of the model are estimated via the maximum likelihood estimation method. A simulation study is conducted to evaluate the performance of the proposed methodology. As an illustration, the model is used to establish the relationship between unemployment and illiteracy in Senegal.","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":" ","pages":""},"PeriodicalIF":0.3,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44723983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-30DOI: 10.37920/sasj.2020.54.1.2
P. Janssen, J. Swanepoel, N. Veraverbeke
{"title":"Efficiency behaviour of kernel-smoothed kernel distribution function estimators","authors":"P. Janssen, J. Swanepoel, N. Veraverbeke","doi":"10.37920/sasj.2020.54.1.2","DOIUrl":"https://doi.org/10.37920/sasj.2020.54.1.2","url":null,"abstract":"","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":"54 1","pages":"15-23"},"PeriodicalIF":0.3,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41561245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-30DOI: 10.37920/sasj.2020.54.1.6
J. Venter, S. Terblanche
{"title":"Variable selection in logistic regression models through the application of exact mathematical programming","authors":"J. Venter, S. Terblanche","doi":"10.37920/sasj.2020.54.1.6","DOIUrl":"https://doi.org/10.37920/sasj.2020.54.1.6","url":null,"abstract":"","PeriodicalId":53997,"journal":{"name":"SOUTH AFRICAN STATISTICAL JOURNAL","volume":"54 1","pages":"93-129"},"PeriodicalIF":0.3,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43525253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：