发布求助
文献互助 智能选刊 最新文献

JIRSS-Journal of the Iranian Statistical Society最新文献

筛选
英文 中文
On Modified Log Burr XII Distribution 改进的原木毛刺分布
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2018-12-01 DOI: 10.29252/JIRSS.17.2.5
F. Bhatti, G. Hamedani, M. Ahmad
{"title":"On Modified Log Burr XII Distribution","authors":"F. Bhatti, G. Hamedani, M. Ahmad","doi":"10.29252/JIRSS.17.2.5","DOIUrl":"https://doi.org/10.29252/JIRSS.17.2.5","url":null,"abstract":"In this paper, we present a modified Log Burr XII (MLBXII) distribution developed on the basis of a generalized log Pearson differential equation. This distribution is also obtained from a compounding mixture of distributions. Moments, inequality measures, uncertainty measures and reliability measures are theoretically established. Characterizations of MLBXII distribution are also studied via different techniques. Parameters of MLBXII distribution are estimated using the maximum likelihood method. Goodness of fit of this distribution through different methods is studied.","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69861300","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: 6
روشی جدید برای بهبود پایداری سیگنال کوچک و تنظیم ولتاژ با استفاده از دادههای اندازهگیری شده ر1583;
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2018-06-10 DOI: 10.29252/JIRSS.17.1.109
هیمن گلپیرا, حسن بیورانی
{"title":"روشی جدید برای بهبود پایداری سیگنال کوچک و تنظیم ولتاژ با استفاده از دادههای اندازهگیری شده","authors":"هیمن گلپیرا, حسن بیورانی","doi":"10.29252/JIRSS.17.1.109","DOIUrl":"https://doi.org/10.29252/JIRSS.17.1.109","url":null,"abstract":"","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"35 1","pages":"61-72"},"PeriodicalIF":0.4,"publicationDate":"2018-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69861152","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: 7
Shrinkage Estimation in Restricted Elliptical Regression Model 受限椭圆回归模型的收缩估计
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2018-06-01 DOI: 10.29252/JIRSS.17.1.49
Reza Falah, M. Arashi, S. M. M. Tabatabaey
{"title":"Shrinkage Estimation in Restricted Elliptical Regression Model","authors":"Reza Falah, M. Arashi, S. M. M. Tabatabaey","doi":"10.29252/JIRSS.17.1.49","DOIUrl":"https://doi.org/10.29252/JIRSS.17.1.49","url":null,"abstract":". In the restricted elliptical linear model, an approximation for the risk of a general shrinkage estimator of the regression vector-parameter is given. Superiority condition of the shrinkage estimator over the restricted estimator is investigated under the elliptical assumption. It is evident from numerical results that the shrinkage estimator performs better than the unrestricted one in the multivariate t-regression model.","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47776779","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
Model Selection Based on Tracking Interval under Unified Hybrid Censored Samples 统一混合截尾样本下基于跟踪区间的模型选择
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2018-06-01 DOI: 10.29252/JIRSS.17.1.1
A. Sayyareh, H. Panahi
{"title":"Model Selection Based on Tracking Interval under Unified Hybrid Censored Samples","authors":"A. Sayyareh, H. Panahi","doi":"10.29252/JIRSS.17.1.1","DOIUrl":"https://doi.org/10.29252/JIRSS.17.1.1","url":null,"abstract":". The aim of statistical modeling is to identify the model that most closely ap-proximates the underlying process. Akaike information criterion (AIC) is commonly used for model selection but the precise value of AIC has no direct interpretation. In this paper we use a normalization of a di ff erence of Akaike criteria in comparing between the two rival models under unified hybrid censoring scheme. Asymptotic properties of maximum likelihood estimator based on the missing information principle are derived. Also, asymptotic distribution of the normalized di ff erence of AICs is obtained and it is used to construct an interval, say tracking interval, for comparing the two competing models. Monte Carlo simulations are performed to examine how the proposed interval works for di ff erent censoring schemes. Two real datasets have been analyzed for illustrative purposes. The first is selecting between Weibull and generalized exponential distributions for main component of spearmint essential oil purification data. The second is the choice between models of the lifetimes of 20 electronic components. principle, Model selection, Tracking interval, Unified hybrid censoring, Vuong’s test. MSC: 62N01;62N03;62E20.","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43380531","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
Bayes, E-Bayes and Robust Bayes Premium Estimation and Prediction under the Squared Log Error Loss Function 贝叶斯、e -贝叶斯和鲁棒贝叶斯在平方对数误差损失函数下的溢价估计与预测
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2018-06-01 DOI: 10.29252/JIRSS.17.1.33
A. Kiapour
{"title":"Bayes, E-Bayes and Robust Bayes Premium Estimation and Prediction under the Squared Log Error Loss Function","authors":"A. Kiapour","doi":"10.29252/JIRSS.17.1.33","DOIUrl":"https://doi.org/10.29252/JIRSS.17.1.33","url":null,"abstract":"In risk analysis based on Bayesian framework, premium calculation requires specification of a prior distribution for the risk parameter in the heterogeneous portfolio. When the prior knowledge is vague, the E-Bayesian and robust Bayesian analysis can be used to handle the uncertainty in specifying the prior distribution by considering a class of priors instead of a single prior. In this paper, we study the E-Bayes and robust Bayes premium estimation and prediction in exponential model under the squared log error loss function. A prequential analysis in a simulation study is carried out to compare the proposed predictors. Finally, a real data example is included for illustrating the results.","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47879096","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: 13
Skew Laplace Finite Mixture Modelling 斜拉普拉斯有限混合模型
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2017-12-10 DOI: 10.22034/JIRSS.2017.16.06
Kheirolah Okhli, Mahdieh Mozafari, Mehrdad Naderi
{"title":"Skew Laplace Finite Mixture Modelling","authors":"Kheirolah Okhli, Mahdieh Mozafari, Mehrdad Naderi","doi":"10.22034/JIRSS.2017.16.06","DOIUrl":"https://doi.org/10.22034/JIRSS.2017.16.06","url":null,"abstract":"","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"16 1","pages":"97-110"},"PeriodicalIF":0.4,"publicationDate":"2017-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48183311","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
Two-step Smoothing Estimation of the Time-variant Parameter with Application to Temperature Data 时变参数的两步平滑估计及其在温度数据中的应用
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2017-12-10 DOI: 10.22034/JIRSS.2017.16.03
M. Chowdhury, L. Vanbrackle, M. Patwary
{"title":"Two-step Smoothing Estimation of the Time-variant Parameter with Application to Temperature Data","authors":"M. Chowdhury, L. Vanbrackle, M. Patwary","doi":"10.22034/JIRSS.2017.16.03","DOIUrl":"https://doi.org/10.22034/JIRSS.2017.16.03","url":null,"abstract":"","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"16 1","pages":"33-50"},"PeriodicalIF":0.4,"publicationDate":"2017-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47158879","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
Improved Estimation in Rayleigh type-II Censored Data under a Bounded Loss Utilizing a Point Guess Value 利用点猜测值改进瑞利II型截尾数据在有界损失下的估计
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2017-12-10 DOI: 10.22034/JIRSS.2017.16.04
M. N. Qomi
{"title":"Improved Estimation in Rayleigh type-II Censored Data under a Bounded Loss Utilizing a Point Guess Value","authors":"M. N. Qomi","doi":"10.22034/JIRSS.2017.16.04","DOIUrl":"https://doi.org/10.22034/JIRSS.2017.16.04","url":null,"abstract":"","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"16 1","pages":"51-66"},"PeriodicalIF":0.4,"publicationDate":"2017-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44390464","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: 3
Prediction for Lindley Distribution Based on Type-II Right Censored Samples 基于ii型右截尾样本的Lindley分布预测
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2017-12-10 DOI: 10.22034/JIRSS.2017.16.01
R. Valiollahi, A. Asgharzadeh, H. Ng
{"title":"Prediction for Lindley Distribution Based on Type-II Right Censored Samples","authors":"R. Valiollahi, A. Asgharzadeh, H. Ng","doi":"10.22034/JIRSS.2017.16.01","DOIUrl":"https://doi.org/10.22034/JIRSS.2017.16.01","url":null,"abstract":"","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"16 1","pages":"1-19"},"PeriodicalIF":0.4,"publicationDate":"2017-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41420372","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: 5
On Concomitants of Order Statistics from Farlie-Gumbel-Morgenstern Bivariate Lomax Distribution and its Application in Estimation Farlie—Gumbel—Morgenstern双变量Lomax分布的阶统计量及其在估计中的应用
IF 0.4
JIRSS-Journal of the Iranian Statistical Society Pub Date : 2017-12-10 DOI: 10.22034/JIRSS.2017.16.05
A. Philip, P. Y. Thomas
{"title":"On Concomitants of Order Statistics from Farlie-Gumbel-Morgenstern Bivariate Lomax Distribution and its Application in Estimation","authors":"A. Philip, P. Y. Thomas","doi":"10.22034/JIRSS.2017.16.05","DOIUrl":"https://doi.org/10.22034/JIRSS.2017.16.05","url":null,"abstract":"","PeriodicalId":42965,"journal":{"name":"JIRSS-Journal of the Iranian Statistical Society","volume":"16 1","pages":"67-95"},"PeriodicalIF":0.4,"publicationDate":"2017-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41445430","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: 3
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：604180095
Book学术官方微信