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Journal of Modern Applied Statistical Methods最新文献

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A Study Verifying the Dimensioning of a Multivariate Dichotomized Sample in Exploratory Factor Analysis 探索性因子分析中多元二分类样本的维度验证研究
Journal of Modern Applied Statistical Methods Pub Date : 2020-03-09 DOI: 10.22237/jmasm/1556669760
Rosilei S. Novak, J. Marques
{"title":"A Study Verifying the Dimensioning of a Multivariate Dichotomized Sample in Exploratory Factor Analysis","authors":"Rosilei S. Novak, J. Marques","doi":"10.22237/jmasm/1556669760","DOIUrl":"https://doi.org/10.22237/jmasm/1556669760","url":null,"abstract":"The sample size dichotomized was related to the measure of sampling adequacy, considering the explanations provided by factors and commonalities. Monte Carlo simulation generated multivariate normal samples and varying the number of observations, the factor analysis was applied in each sample dichotomized. Results were modeled by polynomial regression based on the sample sizing.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48431666","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
Small Area Estimation on Zero-Inflated Data Using Frequentist and Bayesian Approach 基于频率算子和贝叶斯方法的零膨胀数据小面积估计
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-26 DOI: 10.22237/jmasm/1582727606
K. Sadik, R. Anisa, Euis Aqmaliyah
{"title":"Small Area Estimation on Zero-Inflated Data Using Frequentist and Bayesian Approach","authors":"K. Sadik, R. Anisa, Euis Aqmaliyah","doi":"10.22237/jmasm/1582727606","DOIUrl":"https://doi.org/10.22237/jmasm/1582727606","url":null,"abstract":"The most commonly used method of small area estimation (SAE) is the empirical best linear unbiased prediction method based on a linear mixed model. However, it is not appropriate in the case of the zero-inflated target variable with a mixture of zeros and continuously distributed positive values. Therefore, various model-based SAE methods for zero-inflated data are developed, such as the Frequentist approach and the Bayesian approach. Both approaches are compared with the survey regression (SR) method which ignores the presence of zero-inflation in the data. The results show that the two SAE approaches for zero-inflated data are capable to yield more accurate area mean estimates than the SR method.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-22"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44450811","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
The Importance of Type I Error Rates When Studying Bias in Monte Carlo Studies in Statistics 统计学中蒙特卡罗研究偏差时一类错误率的重要性
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-25 DOI: 10.22237/jmasm/1556670360
Michael R. Harwell
{"title":"The Importance of Type I Error Rates When Studying Bias in Monte Carlo Studies in Statistics","authors":"Michael R. Harwell","doi":"10.22237/jmasm/1556670360","DOIUrl":"https://doi.org/10.22237/jmasm/1556670360","url":null,"abstract":"Two common outcomes of Monte Carlo studies in statistics are bias and Type I error rate. Several versions of bias statistics exist but all employ arbitrary cutoffs for deciding when bias is ignorable or non-ignorable. This article argues Type I error rates should be used when assessing bias.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-11"},"PeriodicalIF":0.0,"publicationDate":"2020-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45423868","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
Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach 动态条件相关GARCH：一种基于贝叶斯方法的多变量时间序列新方法
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-25 DOI: 10.22237/jmasm/1556669220
Diego Nascimento, C. Xavier, I. Felipe, F. L. Neto
{"title":"Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach","authors":"Diego Nascimento, C. Xavier, I. Felipe, F. L. Neto","doi":"10.22237/jmasm/1556669220","DOIUrl":"https://doi.org/10.22237/jmasm/1556669220","url":null,"abstract":"The Dynamic Conditional Correlation GARCH (DCC-GARCH) mutation model is considered using a Monte Carlo approach via Markov chains in the estimation of parameters, time-dependence variation is visually demonstrated. Fifteen indices were analyzed from the main financial markets of developed and developing countries from different continents. The performances of indices are similar, with a joint evolution. Most index returns, especially SPX and NDX, evolve over time with a higher positive correlation.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44660375","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
Bivariate Analogs of the Wilcoxon–Mann–Whitney Test and the Patel–Hoel Method for Interactions Wilcoxon–Mann–Whitney检验和Patel–Hoel相互作用方法的双变量类似物
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-20 DOI: 10.22237/jmasm/1556669880
R. Wilcox
{"title":"Bivariate Analogs of the Wilcoxon–Mann–Whitney Test and the Patel–Hoel Method for Interactions","authors":"R. Wilcox","doi":"10.22237/jmasm/1556669880","DOIUrl":"https://doi.org/10.22237/jmasm/1556669880","url":null,"abstract":"A fundamental way of characterizing how two independent compares compare is in terms of the probability that a randomly sampled observation from the first group is less than a randomly sampled observation from the second group. The paper suggests a bivariate analog and investigates methods for computing confidence intervals. An interaction for a two-by-two design is investigated as well.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-14"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43464780","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
Regression When There Are Two Covariates: Some Practical Reasons for Considering Quantile Grids 存在两个协变量时的回归：考虑分位数网格的一些实际原因
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-20 DOI: 10.22237/jmasm/1556670120
R. Wilcox
{"title":"Regression When There Are Two Covariates: Some Practical Reasons for Considering Quantile Grids","authors":"R. Wilcox","doi":"10.22237/jmasm/1556670120","DOIUrl":"https://doi.org/10.22237/jmasm/1556670120","url":null,"abstract":"When dealing with the association between some random variable and two covariates, extensive experience with smoothers indicates that often a linear model poorly reflects the nature of the association. A simple approach via quantile grids that reflects the nature of the association is given. The two main goals are to illustrate this approach can make a practical difference, and to describe R functions for applying it. Included are comments on dealing with more than two covariates.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-19"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44942063","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
Assessing the Accuracy of Approximate Confidence Intervals Proposed for the Mean of Poisson Distribution 泊松分布均值近似置信区间的准确性评估
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-13 DOI: 10.22237/jmasm/1556668800
A. Shirvani, M. Fathizadeh
{"title":"Assessing the Accuracy of Approximate Confidence Intervals Proposed for the Mean of Poisson Distribution","authors":"A. Shirvani, M. Fathizadeh","doi":"10.22237/jmasm/1556668800","DOIUrl":"https://doi.org/10.22237/jmasm/1556668800","url":null,"abstract":"The Poisson distribution is applied as an appropriate standard model to analyze count data. Because this distribution is known as a discrete distribution, representation of accurate confidence intervals for its distribution mean is extremely difficult. Approximate confidence intervals were presented for the Poisson distribution mean. The purpose of this study is to simultaneously compare several confidence intervals presented, according to the average coverage probability and accurate confidence coefficient and the average confidence interval length criteria.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":" ","pages":"2-13"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49185851","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
Analytical Closed-Form Solution for General Factor with Many Variables 多变量广义因子的解析闭式解
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-13 DOI: 10.22237/jmasm/1556668980
S. Lipovetsky, Vladimir Manewitsch
{"title":"Analytical Closed-Form Solution for General Factor with Many Variables","authors":"S. Lipovetsky, Vladimir Manewitsch","doi":"10.22237/jmasm/1556668980","DOIUrl":"https://doi.org/10.22237/jmasm/1556668980","url":null,"abstract":"The factor analytic triad method of one-factor solution gives the explicit analytical form for a common latent factor built by three variables. The current work considers analytical presentation of a general latent factor constructed in a closed-form solution for multivariate case. The results can be supportive to theoretical description and practical application of latent variable modeling, especially for big data because the analytical closed-form solution is not prone to data dimensionality.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"2-23"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42680596","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
Regression Modeling and Prediction by Individual Observations versus Frequency 个体观测与频率的回归建模与预测
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-13 DOI: 10.22237/jmasm/1556669100
S. Lipovetsky
{"title":"Regression Modeling and Prediction by Individual Observations versus Frequency","authors":"S. Lipovetsky","doi":"10.22237/jmasm/1556669100","DOIUrl":"https://doi.org/10.22237/jmasm/1556669100","url":null,"abstract":"A regression model built by a dataset could sometimes demonstrate a low quality of fit and poor predictions of individual observations. However, using the frequencies of possible combinations of the predictors and the outcome, the same models with the same parameters may yield a high quality of fit and precise predictions for the frequencies of the outcome occurrence. Linear and logistical regressions are used to make an explicit exposition of the results of regression modeling and prediction.","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47123487","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
Organisational models of health services for children and adolescents in out-of-home care: Health technology assessment. 家庭外儿童和青少年保健服务的组织模式：卫生技术评估。
Journal of Modern Applied Statistical Methods Pub Date : 2020-02-01 Epub Date: 2019-10-13 DOI: 10.1111/apa.15002
Tita Mensah, Anders Hjern, Kickan Håkanson, Pia Johansson, Ann Kristine Jonsson, Titti Mattsson, Sofia Tranaeus, Bo Vinnerljung, Pernilla Östlund, Gunilla Klingberg
{"title":"Organisational models of health services for children and adolescents in out-of-home care: Health technology assessment.","authors":"Tita Mensah, Anders Hjern, Kickan Håkanson, Pia Johansson, Ann Kristine Jonsson, Titti Mattsson, Sofia Tranaeus, Bo Vinnerljung, Pernilla Östlund, Gunilla Klingberg","doi":"10.1111/apa.15002","DOIUrl":"10.1111/apa.15002","url":null,"abstract":"<p><strong>Aim: </strong>Decades of research confirm that children and adolescents in out-of-home care (foster family, residential care) have much greater health care needs than their peers. A systematic literature review was conducted to evaluate organisational health care models for this vulnerable group.</p><p><strong>Methods: </strong>A systematic literature search was undertaken of the following databases: Academic Search Elite, CENTRAL, Cochrane Database of Systematic Reviews, Cinahl, DARE, ERIC, HTA, PsycInfo, Psychology and Behavioural Sciences Collection, PubMed, SocIndex. Randomised and non-randomised controlled trials were to be included. Two pairs of reviewers independently assessed abstracts of the identified published papers. Abstracts meeting the inclusion criteria were ordered in full text. Each article was reviewed independently, by pairs of reviewers. A joint assessment was made based on the inclusion criteria and relevance. Cases of disagreement were resolved by consensus discussion.</p><p><strong>Results: </strong>No study with low or medium risk of bias was identified.</p><p><strong>Conclusion: </strong>In the absence of studies of acceptable quality, it is not possible to assess the impact of organisational models intended to ensure adequate health and dental care for children and adolescents in out-of-home care. Therefore, well-designed follow-up studies should be conducted following the implementation of such models.</p>","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"11 1","pages":"250-257"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003841/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90253652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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