发布求助
文献互助 智能选刊 最新文献

African Journal of Applied Statistics最新文献

筛选
英文 中文
Developing an area-based sampling system in the urban district of Bobo Dioulasso, Burkina Faso 在布基纳法索Bobo Dioulasso市区开发基于区域的抽样系统
African Journal of Applied Statistics Pub Date : 2019-01-01 DOI: 10.16929/ajas/2019.589.232
M. Somda, Do Edmond Sanou, A. Soubeiga, J. Sawadogo
{"title":"Developing an area-based sampling system in the urban district of Bobo Dioulasso, Burkina Faso","authors":"M. Somda, Do Edmond Sanou, A. Soubeiga, J. Sawadogo","doi":"10.16929/ajas/2019.589.232","DOIUrl":"https://doi.org/10.16929/ajas/2019.589.232","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121025551","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}
引用次数: 0
Exploratory Analysis of Some Sectors of the Economy : A Seemingly Unrelated Regression Approach 一些经济部门的探索性分析:一种看似不相关的回归方法
African Journal of Applied Statistics Pub Date : 2019-01-01 DOI: 10.16929/AJAS/2019.649.236
A. Lawal, O. O. Alaba
{"title":"Exploratory Analysis of Some Sectors of the Economy : A Seemingly Unrelated Regression Approach","authors":"A. Lawal, O. O. Alaba","doi":"10.16929/AJAS/2019.649.236","DOIUrl":"https://doi.org/10.16929/AJAS/2019.649.236","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848359","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}
引用次数: 2
Modelling Clustered Survival Data with Competing Risk 具有竞争风险的聚类生存数据建模
African Journal of Applied Statistics Pub Date : 2019-01-01 DOI: 10.16929/AJAS/2019.519.228
O. Oladuti, B. Oyejola
{"title":"Modelling Clustered Survival Data with Competing Risk","authors":"O. Oladuti, B. Oyejola","doi":"10.16929/AJAS/2019.519.228","DOIUrl":"https://doi.org/10.16929/AJAS/2019.519.228","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130177800","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}
引用次数: 0
Identifying maximum safe dose( MSD) in a (k+2)-arm trial under unequal variances 在不相等方差(k+2)组试验中确定最大安全剂量(MSD)
African Journal of Applied Statistics Pub Date : 2019-01-01 DOI: 10.16929/AJAS/2019.635.235
Michael J. Adjabui, E. D. Kpeglo, Christian Hesse Akrongh
{"title":"Identifying maximum safe dose( MSD) in a (k+2)-arm trial under unequal variances","authors":"Michael J. Adjabui, E. D. Kpeglo, Christian Hesse Akrongh","doi":"10.16929/AJAS/2019.635.235","DOIUrl":"https://doi.org/10.16929/AJAS/2019.635.235","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134066296","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}
引用次数: 0
Statistical Approaches to Estimate Sectoral Economic Aggregates 估算部门经济总量的统计方法
African Journal of Applied Statistics Pub Date : 2018-07-01 DOI: 10.16929/ajas/447.224
Antonio Frenda, S. Scippacercola
{"title":"Statistical Approaches to Estimate Sectoral Economic Aggregates","authors":"Antonio Frenda, S. Scippacercola","doi":"10.16929/ajas/447.224","DOIUrl":"https://doi.org/10.16929/ajas/447.224","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121039949","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}
引用次数: 1
Fitting an optimal variance-covariance structure for longitudinal data under linear mixed effects models framework: simulation based analysis 线性混合效应模型框架下纵向数据最优方差-协方差结构拟合:基于仿真的分析
African Journal of Applied Statistics Pub Date : 2018-07-01 DOI: 10.16929/ajas/489.226
Gbénakpon Aubin Yamonwan Guénolé Amagnide, R. G. Kakaï
{"title":"Fitting an optimal variance-covariance structure for longitudinal data under linear mixed effects models framework: simulation based analysis","authors":"Gbénakpon Aubin Yamonwan Guénolé Amagnide, R. G. Kakaï","doi":"10.16929/ajas/489.226","DOIUrl":"https://doi.org/10.16929/ajas/489.226","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106579","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}
引用次数: 0
Bayesian inference approach in modeling and forecasting maize production in Rwanda 贝叶斯推理方法在卢旺达玉米生产建模和预测
African Journal of Applied Statistics Pub Date : 2018-07-01 DOI: 10.16929/AJAS/503.227
D. Ndanguza, Denise Uwamariya
{"title":"Bayesian inference approach in modeling and forecasting maize production in Rwanda","authors":"D. Ndanguza, Denise Uwamariya","doi":"10.16929/AJAS/503.227","DOIUrl":"https://doi.org/10.16929/AJAS/503.227","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123157234","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}
引用次数: 1
Determinants of Desired and Actual Number of Children and the Risk of having more than Two Children in Ghana and Nigeria 加纳和尼日利亚期望和实际子女数量的决定因素以及生育两个以上子女的风险
African Journal of Applied Statistics Pub Date : 2018-07-01 DOI: 10.16929/AJAS/403.222
O. S. Yaya, Olawale D. Osanyintupin
{"title":"Determinants of Desired and Actual Number of Children and the Risk of having more than Two Children in Ghana and Nigeria","authors":"O. S. Yaya, Olawale D. Osanyintupin","doi":"10.16929/AJAS/403.222","DOIUrl":"https://doi.org/10.16929/AJAS/403.222","url":null,"abstract":"This paper investigates the levels and determinants of desired and actual number of children, and the risk of having more than two children in Ghana and Nigeria using 2013 and 2014 Demographic Health Survey (DHS) conducted in the two countries, respectively. The question is whether the rate of childbearing in sub-Saharan African countries can be slowed down by changes in fertility demand-driven factors such as economic, socio-cultural and family planning programs. Our analysis results showed that these two countries are yet to adopt replacement level policy. Thus, putting every socio-demographic conditions that support fertility in place, these sub-Saharan African countries will continue to increase average childbearing per household, particularly in the case of Nigeria. Thus, government could intervene in the area of education of mothers since this will delay the age at first birth and serve as avenue to orientate women on family planning measures.","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"414 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115994850","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}
引用次数: 4
Modeling of nonstationarity and long memory with RS-ARFIMA-GARCH model RS-ARFIMA-GARCH模型的非平稳性和长记忆性建模
African Journal of Applied Statistics Pub Date : 2018-07-01 DOI: 10.16929/ajas/469.225
S. Fofana, A. Diop, O. Hili
{"title":"Modeling of nonstationarity and long memory with RS-ARFIMA-GARCH model","authors":"S. Fofana, A. Diop, O. Hili","doi":"10.16929/ajas/469.225","DOIUrl":"https://doi.org/10.16929/ajas/469.225","url":null,"abstract":"","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484848","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}
引用次数: 0
On Extreme Value Index Estimation under Random Censoring 随机滤波下的极值指标估计
African Journal of Applied Statistics Pub Date : 2017-09-25 DOI: 10.16929/ajas/419.223
R. Minkah, T. Wet, K. Doku-Amponsah
{"title":"On Extreme Value Index Estimation under Random Censoring","authors":"R. Minkah, T. Wet, K. Doku-Amponsah","doi":"10.16929/ajas/419.223","DOIUrl":"https://doi.org/10.16929/ajas/419.223","url":null,"abstract":"Extreme value analysis in the presence of censoring is receiving much attention as it has applications in many disciplines, including survival and reliability studies. Estimation of extreme value index (EVI) is of primary importance as it is a critical parameter needed in estimating extreme events such as quantiles and exceedance probabilities. In this paper, we review several estimators of the extreme value index when data is subject to random censoring. In addition, four estimators are proposed, one based on the exponential regression approximation of log spacings, one based on a Zipf estimator and two based on variants of the moment estimator. The proposed estimators and the existing ones are compared under the same simulation conditions. The performance measures for the estimators include confidence interval length and coverage probability. The simulation results show that no estimator is universally the best as the estimators depend on the size of the EVI parameter, percentage of censoring in the right tail and the underlying distribution. However, certain estimators such as the proposed reduced-bias estimator and the adapted moment estimator are found to perform well across most scenarios. Moreover, we present a bootstrap algorithm for obtaining samples for extreme value analysis in the context of censoring. Some of the estimators that performed well in the simulation study are illustrated using a practical dataset from medical research","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129303939","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}
引用次数: 1
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信