Environmental and Ecological Statistics最新文献_第9页

Evaluation of ecological security for the Association of Southeast Asian Nations-5 countries: new evidence from the RALS unit root test 东南亚国家联盟5国生态安全评估：来自RALS单位根检验的新证据

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-07-14 DOI: 10.1007/s10651-022-00540-9

N. M. Esenyel İçen, Hüseyin Içen, G. Uzuner

引用次数: 1

Extending null scenarios with Faddy distributions in a probabilistic randomization protocol for presence-absence data 在存在-不存在数据的概率随机化协议中用Faddy分布扩展零场景

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-07-06 DOI: 10.1007/s10651-022-00537-4

Jorge A. Navarro Alberto, B. Manly, Ken Gerow

引用次数: 0

Switching state-space models for modeling penguin population dynamics 用于企鹅种群动力学建模的切换状态空间模型

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-06-21 DOI: 10.1007/s10651-022-00538-3

Yousef El-Laham, M. Bugallo, H. Lynch

引用次数: 1

New methods of life expectancy estimation 预期寿命估算的新方法

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-05-13 DOI: 10.1007/s10651-022-00536-5

Phuc Ho Dang, Thanh Nga Nguyen

引用次数: 0

A varying-coefficient regression approach to modeling the effects of wind speed on the dispersion of pollutants 用变系数回归方法模拟风速对污染物扩散的影响

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-04-23 DOI: 10.1007/s10651-022-00535-6

Kejun He, Y. Wang, Wei-hua Su, Hanfang Yang

引用次数: 2

Estimating change in annual timber products output using a stratified sampling with certainty design 用确定性设计的分层抽样估计年木材产品产量的变化

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-03-23 DOI: 10.1007/s10651-022-00533-8

James A. Westfall, John W. Coulston

{"title":"Estimating change in annual timber products output using a stratified sampling with certainty design","authors":"James A. Westfall, John W. Coulston","doi":"10.1007/s10651-022-00533-8","DOIUrl":"https://doi.org/10.1007/s10651-022-00533-8","url":null,"abstract":"A key aspect in understanding patterns in wood demand and harvesting activities is monitoring of timber products output by wood processing facilities. Estimation of change from year-to-year is necessary but is complicated due to shifts in the population as well as changing strata over time. Taking independent samples each year eases complexity, yet suffers from relatively large sampling error in comparison to other designs that take advantage of the covariance arising from correlated samples. In this study, a design intended to maximize the precision of the change estimate by retaining the initial sample to the extent possible was analyzed. Several approaches to estimating the covariance, with the primary challenge being that sometimes only a single sample unit occurred in both samples within a given stratum. Variance underestimation and overestimation were encountered depending on the covariance method. The best outcome was attained using a measure-of-size variable at the population level to approximate the covariance. However, this approach overestimated the variance by 11% in a Monte Carlo simulation. The simulation results suggested a 14% reduction in the standard error of the estimate was attainable from correlated samples relative to independent samples. Due to the challenges introduced for estimating the covariance for changing populations and strata over time, the value of relatively small reductions in sampling error need to be considered in the context of introducing complex and potentially unreliable covariance estimation methods.","PeriodicalId":50519,"journal":{"name":"Environmental and Ecological Statistics","volume":"27 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138533586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia 马来西亚能源使用、农业用地扩张和森林砍伐对二氧化碳排放的动态影响

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-03-17 DOI: 10.1007/s10651-022-00532-9

A. Raihan, R. Begum, M. Nizam, Mohd Said, J. Pereira

引用次数: 67

Fiducial inference on gamma distributions: two-sample problems with multiple detection limits 伽马分布的基准推断:具有多个检测限的两样本问题

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-02-16 DOI: 10.1007/s10651-022-00528-5

Xiao Wang, Xinmin Li, Lingyun Zhang, Zhirun Liu, Min Li

引用次数: 3

Guest Editorial of the SEEM-2019 conference EEST special issue em -2019会议EEST特刊特邀编辑

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-02-15 DOI: 10.1007/s10651-022-00530-x

Nokuthaba Sibanda, S. Marsland

引用次数: 0

Pivotal discrepancy measures for Bayesian modelling of spatio-temporal data 时空数据贝叶斯建模的关键差异度量

IF 3.8 4区环境科学与生态学

Environmental and Ecological Statistics Pub Date : 2022-02-12 DOI: 10.1007/s10651-022-00529-4

Lindsay R. Morris, Nokuthaba Sibanda

{"title":"Pivotal discrepancy measures for Bayesian modelling of spatio-temporal data","authors":"Lindsay R. Morris, Nokuthaba Sibanda","doi":"10.1007/s10651-022-00529-4","DOIUrl":"https://doi.org/10.1007/s10651-022-00529-4","url":null,"abstract":"Within the field of geostatistics, Gaussian processes are a staple for modelling spatial and spatio-temporal data. Statistical literature is rich with estimation methods for the mean and covariance of such processes (in both frequentist and Bayesian contexts). Considerably less attention has been paid to developing goodness-of-fit tests for assessment of model adequacy. Jun et al. (Environmetrics 25(8):584–595, 2014) introduced a statistical test that uses pivotal discrepancy measures to assess goodness-of-fit in the Bayesian context. We present a modification and generalization of their statistical test. The initial method involves spatial partitioning of the data, followed by evaluation of a pivotal discrepancy measure at each posterior draw to obtain a posterior distribution of pivotal statistics. Order statistics from this distribution are used to obtain approximate p-values. Jun et al. (Environmetrics 25(8):584–595, 2014) use arbitrary partitions based on pre-existing spatial boundaries. The partitions are made to be of equal size. Our contribution is two-fold. We use K-means clustering to create the spatial partitions and we generalise Jun et al.’s approach to incorporate unequal partition sizes. Observations from a spatial or spatio-temporal process are partitioned using an appropriate feature vector that incorporates the geographic location of the observations into subsets (not necessarily of the same size). The method’s viability is illustrated in a simulation study, and in an application to hoki (Macruronus novaezelandiae) catch data from a survey of the sub-Antarctic region.","PeriodicalId":50519,"journal":{"name":"Environmental and Ecological Statistics","volume":"32 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138533598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1