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Journal of Modern Applied Statistical Methods最新文献

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Identifying Which of J Independent Binomial Distributions Has the Largest Probability of Success 确定J个独立二项分布中哪一个成功概率最大
Journal of Modern Applied Statistical Methods Pub Date : 2020-07-17 DOI: 10.22237/jmasm/1604190960
R. Wilcox
{"title":"Identifying Which of J Independent Binomial Distributions Has the Largest Probability of Success","authors":"R. Wilcox","doi":"10.22237/jmasm/1604190960","DOIUrl":"https://doi.org/10.22237/jmasm/1604190960","url":null,"abstract":"Let p1,…, pJ denote the probability of a success for J independent random variables having a binomial distribution and let p(1) ≤ … ≤ p(J) denote these probabilities written in ascending order. The goal is to make a decision about which group has the largest probability of a success, p(J). Let p̂1,…, p̂J denote estimates of p1,…,pJ, respectively. The strategy is to test J − 1 hypotheses comparing the group with the largest estimate to each of the J − 1 remaining groups. For each of these J − 1 hypotheses that are rejected, decide that the group corresponding to the largest estimate has the larger probability of success. This approach has a power advantage over simply performing all pairwise comparisons. However, the more obvious methods for controlling the probability of one more Type I errors perform poorly for the situation at hand. A method for dealing with this is described and illustrated.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-9"},"PeriodicalIF":0.0,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48460365","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
Inferences About the Probability of Success, Given the Value of a Covariate, Using a Nonparametric Smoother 使用非参数平滑器对给定协变量值的成功概率的推断
Journal of Modern Applied Statistical Methods Pub Date : 2020-06-01 DOI: 10.22237/jmasm/1556670240
R. Wilcox
{"title":"Inferences About the Probability of Success, Given the Value of a Covariate, Using a Nonparametric Smoother","authors":"R. Wilcox","doi":"10.22237/jmasm/1556670240","DOIUrl":"https://doi.org/10.22237/jmasm/1556670240","url":null,"abstract":"For a binary random variable Y, let p(x) = P(Y = 1 | X = x) for some covariate X. The goal of computing a confidence interval for p(x) is considered. In the logistic regression model, even a slight departure difficult to detect via a goodness-of-fit test can yield inaccurate results. The accuracy of a confidence interval can deteriorate as the sample size increases. The goal is to suggest an alternative approach based on a smoother, which provides a more flexible approximation of p(x).","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"29"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42511646","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
A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters 利用常规和非常规位置参数降低总体均值估计的均方误差的一种新的指数方法
Journal of Modern Applied Statistical Methods Pub Date : 2020-05-18 DOI: 10.22237/jmasm/1568246400
H. P. Singh, A. Yadav
{"title":"A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters","authors":"H. P. Singh, A. Yadav","doi":"10.22237/jmasm/1568246400","DOIUrl":"https://doi.org/10.22237/jmasm/1568246400","url":null,"abstract":"Recommended Citation Singh, Housila P. and Yadav, Anita (2020) \"A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters,\" Journal of Modern Applied Statistical Methods: Vol. 18 : Iss. 1 , Article 26. DOI: 10.22237/jmasm/1568246400 Available at: https://digitalcommons.wayne.edu/jmasm/vol18/iss1/26","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44567682","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
Support Vector Machine-based Modified Sp Statistic for Subset Selection with Non-Normal Error Terms 基于支持向量机的改进Sp统计量的非正态误差项子集选择
Journal of Modern Applied Statistical Methods Pub Date : 2020-05-15 DOI: 10.22237/jmasm/1571545600
S. S. Desai, D. N. Kashid
{"title":"Support Vector Machine-based Modified Sp Statistic for Subset Selection with Non-Normal Error Terms","authors":"S. S. Desai, D. N. Kashid","doi":"10.22237/jmasm/1571545600","DOIUrl":"https://doi.org/10.22237/jmasm/1571545600","url":null,"abstract":"Support vector machine (SVM) is used for estimation of regression parameters to modify the sum of cross products (Sp). It works well for some nonnormal error distributions. The performance of existing robust methods and the modified Sp is evaluated through simulated and real data. The results show the performance of the modified Sp is good.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"24"},"PeriodicalIF":0.0,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42469239","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
An Improved Two Independent-Samples Randomization Test for Single-Case AB-Type Intervention Designs: A 20-Year Journey 单例ab型干预设计的改进两独立样本随机化检验:20年历程
Journal of Modern Applied Statistical Methods Pub Date : 2020-05-15 DOI: 10.22237/jmasm/1556670480
J. Levin, J. Ferron, Boris S. Gafurov
{"title":"An Improved Two Independent-Samples Randomization Test for Single-Case AB-Type Intervention Designs: A 20-Year Journey","authors":"J. Levin, J. Ferron, Boris S. Gafurov","doi":"10.22237/jmasm/1556670480","DOIUrl":"https://doi.org/10.22237/jmasm/1556670480","url":null,"abstract":"Detailed is a 20-year arduous journey to develop a statistically viable two-phase (AB) single-case two independent-samples randomization test procedure. The test is designed to compare the effectiveness of two different interventions that are randomly assigned to cases. In contrast to the unsatisfactory simulation results produced by an earlier proposed randomization test, the present test consistently exhibited acceptable Type I error control under various design and effect-type configurations, while at the same time possessing adequate power to detect moderately sized intervention-difference effects. Selected issues, applications, and a multiple-baseline extension of the two-sample test are discussed.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44676030","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: 9
Investigating the Performance of Propensity Score Approaches for Differential Item Functioning Analysis 差异项目功能分析中倾向得分方法的性能研究
Journal of Modern Applied Statistical Methods Pub Date : 2020-04-14 DOI: 10.22237/jmasm/1556669280
Yan Liu, Chanmin Kim, Amery Wu, P. Gustafson, Edward Kroc, B. Zumbo
{"title":"Investigating the Performance of Propensity Score Approaches for Differential Item Functioning Analysis","authors":"Yan Liu, Chanmin Kim, Amery Wu, P. Gustafson, Edward Kroc, B. Zumbo","doi":"10.22237/jmasm/1556669280","DOIUrl":"https://doi.org/10.22237/jmasm/1556669280","url":null,"abstract":"To evaluate the performance of propensity score approaches for differential item functioning analysis, this simulation study was conducted to assess bias, mean square error, Type I error, and power under different levels of effect size and a variety of model misspecification conditions, including different types and missing patterns of covariates.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46942225","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
Robust Confidence Intervals for the Population Mean Alternatives to the Student-t Confidence Interval 人口平均值的稳健置信区间替代 Student-t 置信区间
Journal of Modern Applied Statistical Methods Pub Date : 2020-04-07 DOI: 10.22237/jmasm/1556670060
J. Lloyd, Jacqui Boonstra, B. Forer, Rush Hershler, C. Milbrath, B. Poon, N. Razaz, Pippa Rowcliffe, K. Schonert-Reichl
{"title":"Robust Confidence Intervals for the Population Mean Alternatives to the Student-t Confidence Interval","authors":"J. Lloyd, Jacqui Boonstra, B. Forer, Rush Hershler, C. Milbrath, B. Poon, N. Razaz, Pippa Rowcliffe, K. Schonert-Reichl","doi":"10.22237/jmasm/1556670060","DOIUrl":"https://doi.org/10.22237/jmasm/1556670060","url":null,"abstract":"Population-based, person-specific, longitudinal child and youth health and developmental data linkages involve connecting combinations of specially-collected data and administrative data for longitudinal population research purposes. This glossary provides definitions of key terms and concepts related to their theoretical basis, research infrastructure, research methodology, statistical analysis, and knowledge translation.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"113 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141216174","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
Using SPSS to Analyze Complex Survey Data: A Primer 用SPSS分析复杂的调查数据:入门
Journal of Modern Applied Statistical Methods Pub Date : 2020-04-06 DOI: 10.22237/jmasm/1556670300
Danjie Zou, J. Lloyd, J. Baumbusch
{"title":"Using SPSS to Analyze Complex Survey Data: A Primer","authors":"Danjie Zou, J. Lloyd, J. Baumbusch","doi":"10.22237/jmasm/1556670300","DOIUrl":"https://doi.org/10.22237/jmasm/1556670300","url":null,"abstract":"An introduction to using SPSS to analyze complex survey data is given. Key features of complex survey design are described briefly, including stratification, clustering, multiple stages, and weights. Then, annotated SPSS syntax for complex survey data analysis is presented to demonstrate the step-by-step process using real complex samples data.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"16"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41575615","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: 34
Robust Confidence Intervals for the Population Mean Alternatives to the Student-t Confidence Interval 总体均值替代Student-t置信区间的稳健置信区间
Journal of Modern Applied Statistical Methods Pub Date : 2020-04-06 DOI: 10.22237/jmasm/1556669160
M. Abu-Shawiesh, Aamid Saghir
{"title":"Robust Confidence Intervals for the Population Mean Alternatives to the Student-t Confidence Interval","authors":"M. Abu-Shawiesh, Aamid Saghir","doi":"10.22237/jmasm/1556669160","DOIUrl":"https://doi.org/10.22237/jmasm/1556669160","url":null,"abstract":"In this paper, three robust confidence intervals are proposed as alternatives to the Student t confidence interval. The performance of these intervals was compared through a simulation study shows that Qn-t confidence interval performs the best and it is as good as Student’s t confidence interval. Real-life data was used for illustration and performing a comparison that support the findings obtained from the simulation study.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45892616","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
On the Authentic Notion, Relevance, and Solution of the Jeffreys-Lindley Paradox in the Zettabyte Era Zettabyte时代Jeffreys-Lindley悖论的真实概念、相关性及其解决方案
Journal of Modern Applied Statistical Methods Pub Date : 2020-04-01 DOI: 10.22237/jmasm/1556670180
Miodrag Lovric
{"title":"On the Authentic Notion, Relevance, and Solution of the Jeffreys-Lindley Paradox in the Zettabyte Era","authors":"Miodrag Lovric","doi":"10.22237/jmasm/1556670180","DOIUrl":"https://doi.org/10.22237/jmasm/1556670180","url":null,"abstract":"The Jeffreys-Lindley paradox is the most quoted divergence between the frequentist and Bayesian approaches to statistical inference. It is embedded in the very foundations of statistics and divides frequentist and Bayesian inference in an irreconcilable way. This paradox is the Gordian Knot of statistical inference and Data Science in the Zettabyte Era. If statistical science is ready for revolution confronted by the challenges of massive data sets analysis, the first step is to finally solve this anomaly. For more than sixty years, the Jeffreys-Lindley paradox has been under active discussion and debate. Many solutions have been proposed, none entirely satisfactory. The Jeffreys-Lindley paradox and its extent have been frequently misunderstood by many statisticians and non-statisticians. This paper aims to reassess this paradox, shed new light on it, and indicates how often it occurs in practice when dealing with Big data.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44242968","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
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