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Estimating a Multilevel Model with Complex Survey Data: Demonstration using TIMSS 基于复杂调查数据的多层模型估算:TIMSS的论证
Journal of Modern Applied Statistical Methods Pub Date : 2020-09-22 DOI: 10.22237/JMASM/1604190360
Julie Lorah
{"title":"Estimating a Multilevel Model with Complex Survey Data: Demonstration using TIMSS","authors":"Julie Lorah","doi":"10.22237/JMASM/1604190360","DOIUrl":"https://doi.org/10.22237/JMASM/1604190360","url":null,"abstract":"Analysis of complex survey data is demonstrated for the multilevel model. Description of specific aspects of analysis, including plausible values, sampling weights, and replicate weights is provided. Following this, example TIMSS data and models are described and results are presented.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"24"},"PeriodicalIF":0.0,"publicationDate":"2020-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47365443","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
Simple Unequal Allocation Procedure for Ranked Set Sampling with Skew Distributions 具有偏斜分布的排序集抽样的简单不等分配过程
Journal of Modern Applied Statistical Methods Pub Date : 2020-09-04 DOI: 10.22237/jmasm/1604189700
Dinesh S. Bhoj, Girish Chandra
{"title":"Simple Unequal Allocation Procedure for Ranked Set Sampling with Skew Distributions","authors":"Dinesh S. Bhoj, Girish Chandra","doi":"10.22237/jmasm/1604189700","DOIUrl":"https://doi.org/10.22237/jmasm/1604189700","url":null,"abstract":"A practical unbalanced Ranked Set Sampling (RSS) model is proposed to estimate the population mean of positively skewed distributions. The gains in the relative precisions of the population mean based on the proposed model for chosen distributions are uniformly higher than those based on balanced RSS and the t-model proposed in Kaur et al. (1997). The relative precisions of the simple unequal allocation model are, with one exception, better than (s, t)-model which is better than t-model. The relative precision of the proposed model is very close or equal to the optimal Neyman allocation model.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"146 2","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41258483","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
JMASM 54: A Comparison of Four Different Estimation Approaches for Prognostic Survival Oral Cancer Model 口腔癌预后生存模型的四种不同估计方法的比较
Journal of Modern Applied Statistical Methods Pub Date : 2020-09-02 DOI: 10.22237/jmasm/1594045320
T. R. Knapp
{"title":"JMASM 54: A Comparison of Four Different Estimation Approaches for Prognostic Survival Oral Cancer Model","authors":"T. R. Knapp","doi":"10.22237/jmasm/1594045320","DOIUrl":"https://doi.org/10.22237/jmasm/1594045320","url":null,"abstract":"This primer is intended to provide the basic information for sampling without replacement from finite populations.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49236504","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
JMASM 54: A Comparison of Four Different Estimation Approaches for Prognostic Survival Oral Cancer Model JMASM 54：四种不同估计方法对口腔癌症预后生存率模型的比较
Journal of Modern Applied Statistical Methods Pub Date : 2020-09-01 DOI: 10.22237/jmasm/1604189760
Wan Muhamad Amir, Muhammad Azeem, M. H. Harun, Zalila Ali, M. Shafiq
{"title":"JMASM 54: A Comparison of Four Different Estimation Approaches for Prognostic Survival Oral Cancer Model","authors":"Wan Muhamad Amir, Muhammad Azeem, M. H. Harun, Zalila Ali, M. Shafiq","doi":"10.22237/jmasm/1604189760","DOIUrl":"https://doi.org/10.22237/jmasm/1604189760","url":null,"abstract":"Four types of estimation approaches for prognostic survival oral cancer model building are considered via a SAS algorithm: Efron’s Method, Exact Method, Breslow’s Method, and Discrete Method. Each method is illustrated separately and compared according to their coefficient parameter. An approach is considered by adding a bootstrapping technique for each handling ties method and a complete SAS algorithm is supplied for each proposed method, including methods for handling ties.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49462650","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
A New Two-Parametric ‘Useful’ Fuzzy Information Measure and its Properties 一种新的双参数“有用”模糊信息测度及其性质
Journal of Modern Applied Statistical Methods Pub Date : 2020-08-19 DOI: 10.22237/jmasm/160418958
S. M. Sofi, Safina Peerzada, M. Baig
{"title":"A New Two-Parametric ‘Useful’ Fuzzy Information Measure and its Properties","authors":"S. M. Sofi, Safina Peerzada, M. Baig","doi":"10.22237/jmasm/160418958","DOIUrl":"https://doi.org/10.22237/jmasm/160418958","url":null,"abstract":"A ‘useful’ fuzzy measure of order α and type β is developed. Its validity established with a numerical example.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49627545","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
A New Two Parametric Weighted Generalized Entropy for Lifetime Distributions 一种新的寿命分布的双参数加权广义熵
Journal of Modern Applied Statistical Methods Pub Date : 2020-08-03 DOI: 10.22237/jmasm/1604189340
Bilal Ahmad Bhad, M. Baig
{"title":"A New Two Parametric Weighted Generalized Entropy for Lifetime Distributions","authors":"Bilal Ahmad Bhad, M. Baig","doi":"10.22237/jmasm/1604189340","DOIUrl":"https://doi.org/10.22237/jmasm/1604189340","url":null,"abstract":"The concept of weighted generalized entropy and its dynamic residual (version) is developed. The general expressions of these two uncertainty measures corresponding to some well-known lifetime distributions are derived. It is shown that the proposed dynamic entropy determines the survival function uniquely. Some significant properties and inequalities of this dynamic entropy are also discussed.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43563227","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
Even Order Ranked Set Sampling with Auxiliary Variable 带辅助变量的偶阶秩集抽样
Journal of Modern Applied Statistical Methods Pub Date : 2020-07-28 DOI: 10.22237/jmasm/1604189280
M. Tayyab, Muhammad Noor ul-Amin, M. Hanif
{"title":"Even Order Ranked Set Sampling with Auxiliary Variable","authors":"M. Tayyab, Muhammad Noor ul-Amin, M. Hanif","doi":"10.22237/jmasm/1604189280","DOIUrl":"https://doi.org/10.22237/jmasm/1604189280","url":null,"abstract":"Even order ranked set sampling (EORSS) is a novel proposed ranked set sampling scheme connected with an auxiliary variable correlated with the study variable. This scheme quantifies only the one sampling unit which is at even position from each ranking set by employing specific criteria. The performance of the ratio estimator under EORSS is compared to its contemporary estimators in simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and quartile ranked set sampling (QRSS) exploiting the same number of quantified units. The simulation results proved that EORSS is an efficient alternative sampling scheme for ratio estimation than SRS, RSS, MRSS and QRSS.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"15"},"PeriodicalIF":0.0,"publicationDate":"2020-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43272479","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
Economic Design of Acceptance Sampling Plans for Truncated Life Tests Using Three-Parameter Lindley Distribution 三参数林德利分布截断寿命试验验收抽样方案的经济设计
Journal of Modern Applied Statistical Methods Pub Date : 2020-07-28 DOI: 10.22237/jmasm/1604189220
A. Al-Omari, E. Ciavolino, Amjad D. Al-Nasser
{"title":"Economic Design of Acceptance Sampling Plans for Truncated Life Tests Using Three-Parameter Lindley Distribution","authors":"A. Al-Omari, E. Ciavolino, Amjad D. Al-Nasser","doi":"10.22237/jmasm/1604189220","DOIUrl":"https://doi.org/10.22237/jmasm/1604189220","url":null,"abstract":"A single acceptance sampling plan for the three-parameter Lindley distribution under a truncated life test is developed. For various consumer’s confidence levels, acceptance numbers, and values of the ratio of the experimental time to the specified average lifetime, the minimum sample size important to assert a certain average lifetime are calculated. The operating characteristic (OC) function values as well as the associated producer’s risks are also provided. A numerical example is presented to illustrate the suggested acceptance sampling plans.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"16"},"PeriodicalIF":0.0,"publicationDate":"2020-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46801092","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: 8
Objectives Driven Participatory Evaluation Model 目标驱动参与式评价模型
Journal of Modern Applied Statistical Methods Pub Date : 2020-07-28 DOI: 10.22237/jmasm/1604190900
D. R. Saalman
{"title":"Objectives Driven Participatory Evaluation Model","authors":"D. R. Saalman","doi":"10.22237/jmasm/1604190900","DOIUrl":"https://doi.org/10.22237/jmasm/1604190900","url":null,"abstract":"The ability to complete program evaluations of educational programming is typically restricted by the availability of resources, such as time, money and a trained evaluator. Although not a replacement for trained evaluators, promoting evaluative capacity and evaluative thinking within an organization can help mitigate this gap between talent and resources. Participatory evaluation is purported to increase organizational learning and promote evaluative thinking within an organization (Cousins and Whitmore, 1998). Objectives oriented evaluation is an easily understood evaluation method which provides a refined focus program outcome (Madaus and Stufflebeam, 1989). Using an internal evaluation of a new faculty onboarding course at a private non-profit college system, a mixed methods study was completed to explore the use of a participatory evaluation program evaluation with the use of the program objectives as an advanced organizer. An explanatory sequential design was employed utilizing quantitative findings to collect qualitative data to further explore the participants’ experiences completing the program evaluation. This combined evaluation methodology met the criteria posited in Daigneault and Jacob (2009) and Toal (2009) to be considered participatory in its implementation. It also involved participants in ways which provided them experiences which helped develop evaluative thinking, skills, and beliefs.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"14"},"PeriodicalIF":0.0,"publicationDate":"2020-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47164666","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 Estimation of the Parameters of Discrete Weibull Type (I) Distribution 离散威布尔型分布参数的贝叶斯估计
Journal of Modern Applied Statistical Methods Pub Date : 2020-07-24 DOI: 10.22237/jmasm/1604189160
S. Ashour, M. S. A. Muiftah
{"title":"Bayesian Estimation of the Parameters of Discrete Weibull Type (I) Distribution","authors":"S. Ashour, M. S. A. Muiftah","doi":"10.22237/jmasm/1604189160","DOIUrl":"https://doi.org/10.22237/jmasm/1604189160","url":null,"abstract":"Bayesian estimation of the continuous Weibull distribution parameters was studied by Ahmad and Ahmad (2013) under the assumption of knowing the shape parameter. Bayesian estimates are considered here of the parameters of the discrete Weibull Type I [DW(I)] distribution and are obtained under two different assumptions: when the shape parameter is known, and when both parameters are independent random variables. A Mathcad program is performed to simulate data from the DW(I) distribution considering different values of the parameters and different sample sizes, and to obtain Bayesian parameter estimates. The resulted estimates are compared to the ML and proportion estimates obtained by Khan et al. (1989).","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45027909","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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