Statistics in Transition最新文献_第6页

Parameter estimation of exponentiated exponential distribution under selective ranked set sampling 选择性排序集抽样下指数分布的参数估计

Statistics in Transition Pub Date : 2022-12-01 DOI: 10.2478/stattrans-2022-0041

A. Hassan, Rasha S. Elshaarawy, H. Nagy

引用次数: 3

Robustness of randomisation tests as alternative analysis methods for repeated measures design 随机试验作为重复测量设计的替代分析方法的稳健性

Statistics in Transition Pub Date : 2022-12-01 DOI: 10.2478/stattrans-2022-0043

A. Oladugba, Ajali John Obasi, O. C. Asogwa

{"title":"Robustness of randomisation tests as alternative analysis methods for repeated measures design","authors":"A. Oladugba, Ajali John Obasi, O. C. Asogwa","doi":"10.2478/stattrans-2022-0043","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0043","url":null,"abstract":"Abstract Randomisation tests (R-tests) are regularly proposed as an alternative method of hypothesis testing when assumptions of classical statistical methods are violated in data analysis. In this paper, the robustness in terms of the type-I-error and the power of the R-test were evaluated and compared with that of the F-test in the analysis of a single factor repeated measures design. The study took into account normal and non-normal data (skewed: exponential, lognormal, Chi-squared, and Weibull distributions), the presence and lack of outliers, and a situation in which the sphericity assumption was met or not under varied sample sizes and number of treatments. The Monte Carlo approach was used in the simulation study. The results showed that when the data were normal, the R-test was approximately as sensitive and robust as the F-test, while being more sensitive than the F-test when data had skewed distributions. The R-test was more sensitive and robust than the F-test in the presence of an outlier. When the sphericity assumption was met, both the R-test and the F-test were approximately equally sensitive, whereas the R-test was more sensitive and robust than the F-test when the sphericity assumption was not met.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"77 - 90"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44712278","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

Optimal allocation for equal probability two-stage design 等概率两阶段设计的最优分配

Statistics in Transition Pub Date : 2022-12-01 DOI: 10.2478/stattrans-2022-0046

W. Molefe

引用次数: 0

Supsim: a Python package and a web-based JavaScript tool to address the theoretical complexities in two-predictor suppression situations Supsim：一个Python包和一个基于web的JavaScript工具，用于解决两种预测抑制情况下的理论复杂性

Statistics in Transition Pub Date : 2022-12-01 DOI: 10.2478/stattrans-2022-0049

M. Nazifi, Hamid Fadishei

{"title":"Supsim: a Python package and a web-based JavaScript tool to address the theoretical complexities in two-predictor suppression situations","authors":"M. Nazifi, Hamid Fadishei","doi":"10.2478/stattrans-2022-0049","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0049","url":null,"abstract":"Abstract Two-predictor suppression situations continue to produce uninterpretable conditions in linear regression. In an attempt to address the theoretical complexities related to suppression situations, the current study introduces two different versions of a software called suppression simulator (Supsim): a) the command-line Python package, and b) the web-based JavaScript tool, both of which are able to simulate numerous random two-predictor models (RTMs). RTMs are randomly generated, normally distributed data vectors x1, x2, and y simulated in such a way that regressing y on both x1 and x2 results in the occurrence of numerous suppression and non-suppression situations. The web-based Supsim requires no coding skills and additionally, it provides users with 3D scatterplots of the simulated RTMs. This study shows that comparing 3D scatterplots of different suppression and non-suppression situations provides important new insights into the underlying mechanisms of two-predictor suppression situations. An important focus is on the comparison of 3D scatterplots of certain enhancement situations called Hamilton’s extreme example with those of redundancy situations. Such a comparison suggests that the basic mathematical concepts of two-predictor suppression situations need to be reconsidered with regard to the important issue of the statistical control function.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"177 - 202"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44934212","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

Generalised Lindley shared additive frailty regression model for bivariate survival data 二变量生存数据的广义Lindley共享加性脆弱性回归模型

Statistics in Transition Pub Date : 2022-12-01 DOI: 10.2478/stattrans-2022-0048

Arvind Pandey, David D. Hanagal, Shikha Tyagi

引用次数: 0

An improved ridge type estimator for logistic regression 一种改进的logistic回归岭型估计量

Statistics in Transition Pub Date : 2022-09-01 DOI: 10.2478/stattrans-2022-0033

N. Varathan

引用次数: 0

Two-stage cluster sampling with unequal probability sampling in the first stage and ranked set sampling in the second stage 第一阶段采用不等概率抽样，第二阶段采用排序集抽样的两阶段聚类抽样

Statistics in Transition Pub Date : 2022-09-01 DOI: 10.2478/stattrans-2022-0038

M. C. Ugwu, M. Madukaife

引用次数: 0

Modified exponential time series model with prediction of total COVID-19 cases in Belgium, Czech Republic, Poland and Switzerland 基于修正指数时间序列模型的比利时、捷克、波兰和瑞士COVID-19总病例预测

Statistics in Transition Pub Date : 2022-09-01 DOI: 10.2478/stattrans-2022-0035

W. Permpoonsinsup, R. Sunthornwat

引用次数: 0

New polynomial exponential distribution: properties and applications 新的多项式指数分布：性质和应用

Statistics in Transition Pub Date : 2022-09-01 DOI: 10.2478/stattrans-2022-0032

Abdelfateh Beghriche, Halim zeghdoudi, Vinoth Raman, Sarra Chouia

引用次数: 3

Polish inequality statistics reconsidered: are the poor really that poor? 重新审视波兰的不平等统计数据:穷人真的那么穷吗?

Statistics in Transition Pub Date : 2022-09-01 DOI: 10.2478/stattrans-2022-0031

A. Szulc

{"title":"Polish inequality statistics reconsidered: are the poor really that poor?","authors":"A. Szulc","doi":"10.2478/stattrans-2022-0031","DOIUrl":"https://doi.org/10.2478/stattrans-2022-0031","url":null,"abstract":"Abstract In the present study income inequality in Poland is evaluated using corrected income data to provide more reliable estimates. According to most empirical studies based on household surveys and considering the European standards, the recent income inequality in Poland is moderate and decreased significantly after reaching its peaks during the first decade of the 21st century. These findings were challenged by Brzeziński et al. (2022), who placed Polish income inequality among the highest in Europe. Such a conclusion was possible when combining the household survey data with information on personal income tax. In the present study the above-mentioned findings are further explored using 2014 and 2015 data and employing additional corrections to the household survey incomes. Incomes of the poorest people are replaced by their predictions made on a large set of well-being correlates, using the hierarchical correlation reconstruction. Applying this method together with the corrections based on Brzeziński’s et al. results reduces the 2014 and 2015 revised Gini indices, still keeping them above the values obtained with the use of the survey data only. It seems that the hierarchical correlation reconstruction offers more accurate proxies to the actual low incomes, while matching tax data provides better proxies to the top incomes.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":"23 1","pages":"79 - 94"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41427141","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