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Wildlife Population Assessment: Changing Priorities Driven by Technological Advances 野生动物种群评估:技术进步推动的优先事项变化
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-02-02 DOI: 10.1007/s42519-023-00319-6
S. Buckland, D. Borchers, T. Marques, R. Fewster
{"title":"Wildlife Population Assessment: Changing Priorities Driven by Technological Advances","authors":"S. Buckland, D. Borchers, T. Marques, R. Fewster","doi":"10.1007/s42519-023-00319-6","DOIUrl":"https://doi.org/10.1007/s42519-023-00319-6","url":null,"abstract":"","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41970979","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
Analysis of Spatial Patterns and Associated Factors of Stillbirth in Pakistan, PDHS (2017–18): A Spatial and Multilevel Analysis 巴基斯坦死产的空间格局及其相关因素分析，PDHS（2017-18）：空间和多层次分析
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-12 DOI: 10.1007/s42519-022-00308-1
Abeera Shakeel, Asif Kamal, G. Tesema, M. Siddiqa
{"title":"Analysis of Spatial Patterns and Associated Factors of Stillbirth in Pakistan, PDHS (2017–18): A Spatial and Multilevel Analysis","authors":"Abeera Shakeel, Asif Kamal, G. Tesema, M. Siddiqa","doi":"10.1007/s42519-022-00308-1","DOIUrl":"https://doi.org/10.1007/s42519-022-00308-1","url":null,"abstract":"","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 1","pages":"1-26"},"PeriodicalIF":0.6,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49328984","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
Optimality of Some Row–Column Designs 一些行列设计的最优性
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-10 DOI: 10.1007/s42519-022-00315-2
J. Morgan, S. Bagchi
{"title":"Optimality of Some Row–Column Designs","authors":"J. Morgan, S. Bagchi","doi":"10.1007/s42519-022-00315-2","DOIUrl":"https://doi.org/10.1007/s42519-022-00315-2","url":null,"abstract":"","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 1","pages":"1-25"},"PeriodicalIF":0.6,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45777105","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
Semi-Lévy-Driven CARMA Process: Estimation and Prediction 半lsamv驱动的CARMA过程:估计与预测
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-06 DOI: 10.1007/s42519-022-00317-0
N. Modarresi, S. Rezakhah, M. Mohammadi
{"title":"Semi-Lévy-Driven CARMA Process: Estimation and Prediction","authors":"N. Modarresi, S. Rezakhah, M. Mohammadi","doi":"10.1007/s42519-022-00317-0","DOIUrl":"https://doi.org/10.1007/s42519-022-00317-0","url":null,"abstract":"","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 1","pages":"1-23"},"PeriodicalIF":0.6,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47754058","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
An Algorithm of Nonparametric Quantile Regression. 一种非参数分位数回归算法。
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-01 DOI: 10.1007/s42519-023-00325-8
Mei Ling Huang, Yansan Han, William Marshall
{"title":"An Algorithm of Nonparametric Quantile Regression.","authors":"Mei Ling Huang,&nbsp;Yansan Han,&nbsp;William Marshall","doi":"10.1007/s42519-023-00325-8","DOIUrl":"https://doi.org/10.1007/s42519-023-00325-8","url":null,"abstract":"<p><p>Extreme events, such as earthquakes, tsunamis, and market crashes, can have substantial impact on social and ecological systems. Quantile regression can be used for predicting these extreme events, making it an important problem that has applications in many fields. Estimating high conditional quantiles is a difficult problem. Regular linear quantile regression uses an <i>L</i> <sub>1</sub> loss function [Koenker in Quantile regression, Cambridge University Press, Cambridge, 2005], and the optimal solution of linear programming for estimating coefficients of regression. A problem with linear quantile regression is that the estimated curves for different quantiles can cross, a result that is logically inconsistent. To overcome the curves crossing problem, and to improve high quantile estimation in the nonlinear case, this paper proposes a nonparametric quantile regression method to estimate high conditional quantiles. A three-step computational algorithm is given, and the asymptotic properties of the proposed estimator are derived. Monte Carlo simulations show that the proposed method is more efficient than linear quantile regression method. Furthermore, this paper investigates COVID-19 and blood pressure real-world examples of extreme events by using the proposed method.</p>","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 2","pages":"32"},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9794184","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: 3
The New Sub-regression Type Estimator in Ranked Set Sampling. 排序集抽样中新的子回归类型估计。
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-01 DOI: 10.1007/s42519-023-00324-9
Eda Gizem Koçyiğit, Khalid Ul Islam Rather
{"title":"The New Sub-regression Type Estimator in Ranked Set Sampling.","authors":"Eda Gizem Koçyiğit,&nbsp;Khalid Ul Islam Rather","doi":"10.1007/s42519-023-00324-9","DOIUrl":"https://doi.org/10.1007/s42519-023-00324-9","url":null,"abstract":"<p><p>In this study, a new sub-regression type estimator for ranked set sampling (RSS) is proposed based on the idea of a sub-ratio estimator given in Koçyiğit and Kadılar (Commun Stat Theory Methods 1-23, 2022). The proposed unbiased estimator's mean square error is obtained and compared theoretically with other estimators. The theoretical results have been supported by the different simulations and real-life data sets studies and have shown that the proposed estimator is more effective than the estimators in the literature. It is also seen that the number of repetitions in the RSS affected the effectiveness of the sub-estimators.</p>","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 2","pages":"27"},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974047/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9442109","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: 2
Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses. 自相关二元响应一阶马尔可夫模型的贝叶斯分析。
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-01 DOI: 10.1007/s42519-022-00305-4
Dasom Lee, Sujit Ghosh
{"title":"Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses.","authors":"Dasom Lee,&nbsp;Sujit Ghosh","doi":"10.1007/s42519-022-00305-4","DOIUrl":"https://doi.org/10.1007/s42519-022-00305-4","url":null,"abstract":"<p><p>In many clinical trials, patient outcomes are often binary-valued which are measured asynchronously over time across various dose levels. To account for autocorrelation among such longitudinally observed outcomes, a first-order Markov model for binary data is developed. Moreover, to account for the asynchronously observed time points, nonhomogeneous models for the transition probabilities are proposed. The transition probabilities are modeled using B-spline basis functions after suitable transformations. Additionally, if the underlying dose-response curve is assumed to be non-decreasing, our model allows for the estimation of any underlying non-decreasing curve based on suitably constructed prior distributions. We also extended our model to the mixed effect model to incorporate individual-specific random effects. Numerical comparisons with traditional models are provided based on simulated data sets, and also practical applications are illustrated using real data sets.</p>","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 1","pages":"9"},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10480610","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
On Fixed Accuracy Confidence Interval in Multivariate Normal Distribution with Order 1 Autoregressive Covariance Structure. 一阶自回归协方差结构多元正态分布的固定精度置信区间。
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2023-01-01 DOI: 10.1007/s42519-022-00310-7
Pritam Sarkar, Uttam Bandyopadhyay, Rahul Bhattacharya
{"title":"On Fixed Accuracy Confidence Interval in Multivariate Normal Distribution with Order 1 Autoregressive Covariance Structure.","authors":"Pritam Sarkar,&nbsp;Uttam Bandyopadhyay,&nbsp;Rahul Bhattacharya","doi":"10.1007/s42519-022-00310-7","DOIUrl":"https://doi.org/10.1007/s42519-022-00310-7","url":null,"abstract":"<p><p>In this paper, stein-type two-stage sampling procedure is carried out for fixed accuracy confidence interval estimation of the common variance ( <math><msup><mi>σ</mi> <mn>2</mn></msup> </math> ) parameter corresponding to multivariate normal distribution with autoregressive covariance structure of order 1. Related asymptotics are obtained and simulation results are presented.</p>","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":"17 1","pages":"13"},"PeriodicalIF":0.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735063/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10401552","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
Preface to a Special Issue in Memory of Professor Theophilos Cacoullos 纪念西奥菲洛斯·卡库洛斯教授特刊前言
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2022-12-20 DOI: 10.1007/s42519-022-00314-3
N. Balakrishnan, C. Charalambides, T. Christofides, M. Koutras, S. Meintanis
{"title":"Preface to a Special Issue in Memory of Professor Theophilos Cacoullos","authors":"N. Balakrishnan, C. Charalambides, T. Christofides, M. Koutras, S. Meintanis","doi":"10.1007/s42519-022-00314-3","DOIUrl":"https://doi.org/10.1007/s42519-022-00314-3","url":null,"abstract":"","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45072875","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
Cure Rate-Based Step-Stress Model 基于固化率的阶跃应力模型
IF 0.6
Journal of Statistical Theory and Practice Pub Date : 2022-12-16 DOI: 10.1007/s42519-022-00313-4
Ayan Pal, D. Samanta, D. Kundu
{"title":"Cure Rate-Based Step-Stress Model","authors":"Ayan Pal, D. Samanta, D. Kundu","doi":"10.1007/s42519-022-00313-4","DOIUrl":"https://doi.org/10.1007/s42519-022-00313-4","url":null,"abstract":"","PeriodicalId":45853,"journal":{"name":"Journal of Statistical Theory and Practice","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47320296","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
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