检索结果-内蒙古大学图书馆

Screening Active Effects in Supersaturated Designs with Binary Response via Control Charts

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2017年第7期33卷 1475-1483页

作者： Drosou, K. Koukouvinos, C. Lappa, A. Natl Tech Univ Athens Dept Math Athens 15773 Greece

Supersaturated designs are designs in which the number of factors exceeds the run size;consequently, there are not enough degrees of freedom to estimate all the main effects. The goal here is to identify the dominant factors that constitute a small proportion of the overall set of factors, according to the assumption of effect sparsity. The analysis of such designs constitutes a challenging task and, even though many methods have been proposed in the literature assuming a normal response, only few works attempted to address the case of non-normal responses. In this paper, we propose a method for screening out the most important features in supersaturated designs assuming a Bernoulli distributed response. This new approach is based on an effective chart in Statistical Process Control, the cumulative sum control chart, combined with an information theoretic measure, and it is referred as the MIC algorithm. We judge the value of MIC through comparisons with three existing approaches suggested in the literature: the least absolute shrinkage and selection operator penalization method, and two feature selection algorithms, the Conditional Mutual Information Maximization and the minimal-redundancy-maximal-relevance. The simulation study reveals that the proposed method can be considered an advantageous method because of its extremely good performance in terms of statistical power. Copyright (c) 2017 John Wiley & Sons, Ltd.

关键词： cumulative sum control chart feature screening generalized linear models mutual Information supersaturated designs

来源：评论

学校读者我要写书评

暂无评论

Laplace approximations and Bayesian information criteria in possibly misspecified models

引用

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2017年第24期46卷 12240-12258页

作者： Miyata, Yoichi Takasaki City Univ Econ Fac Econ Takasaki Gunma Japan

We provide general conditions to ensure the valid Laplace approximations to the marginal likelihoods under model misspecification, and derive the Bayesian information criteria including all terms of order O-p(1). Under conditions in theorem 1 of Lv and Liu [J. R. Statist. Soc. B, 76, (2014), 141-167] and a continuity condition for prior densities, asymptotic expansions with error terms of order o(p)(1) are derived for the log-marginal likelihoods of possibly misspecified generalized linear models. We present some numerical examples to illustrate the finite sample performance of the proposed information criteria in misspecified models.

关键词： Bayesian information criteria generalized linear models Laplace approximations shrinking neighborhoods

来源：评论

学校读者我要写书评

暂无评论

引用

QUALITY ENGINEERING 2017年第3期29卷 395-408页

作者： Stevens, Nathaniel T. Anderson-Cook, Christine M. Univ San Francisco Dept Math & Stat 2130 Fulton St San Francisco CA 94117 USA Los Alamos Natl Lab Stat Sci Grp Los Alamos NM USA

When separate populations exhibit similar reliability as a function of multiple explanatory variables, combining them into a single population is tempting. This can simplify future predictions and reduce uncertainty associated with estimation. However, combining these populations may introduce bias if the underlying relationships are in fact different. The probability of agreement formally and intuitively quantifies the similarity of estimated reliability surfaces across a two-factor input space. An example from the reliability literature demonstrates the utility of the approach when deciding whether to combine two populations or to keep them as distinct. New graphical summaries provide strategies for visualizing the results.

关键词： equivalence testing generalized linear models homogeneity of population characteristics probability of agreement reliability

来源：评论

学校读者我要写书评

暂无评论

Comparing the Reliability of Related Populations With the Probability of Agreement

引用

TECHNOMETRICS 2017年第3期59卷 371-380页

作者： Stevens, Nathaniel T. Anderson-Cook, Christine M. Univ San Francisco San Francisco CA 94117 USA Los Alamos Natl Lab Los Alamos NM USA

Combining information from different populations to improve precision, simplify future predictions, or improve underlying understanding of relationships can be advantageous when considering the reliability of several related sets of systems. Using the probability of agreement to help quantify the similarities of populations can help to give a realistic assessment of whether the systems have reliability that are sufficiently similar for practical purposes to be treated as a homogeneous population. The new method is described and illustrated with an example involving two generations of a complex system, where the reliability is modeled using either a logistic or probit regression model. Note that supplementary materials including code, datasets, and added discussion are available online.

关键词： Equivalence testing generalized linear models Homogeneity of population characteristics Probability of agreement Reliability

来源：评论

学校读者我要写书评

暂无评论

A Methodology to Model Environmental Preferences of EPT Taxa in the Machangara River Basin (Ecuador)

引用

WATER 2017年第3期9卷

作者： Jerves-Cobo, Ruben Everaert, Gert Iniguez-Vela, Xavier Cordova-Vela, Gonzalo Diaz-Granda, Catalina Cisneros, Felipe Nopens, Ingmar Goethals, Peter L. M. Univ Ghent Lab Environm Toxicol & Aquat Ecol Dept Appl Ecol & Environm Biol Coupure Links 653 B-9000 Ghent Belgium Univ Ghent BIOMATH Dept Math Modelling Stat & Bioinformat Coupure Links 653 B-9000 Ghent Belgium Univ Cuenca PROMAS Programa Para Manejo Agua & Suelo Av 12 abril S-N & Agustin Cueva Cuenca 010103 Ecuador Asociac Consultores Tecnicos ACOTECNIC Cia Ltd Aguaruna S-N & Autopista Cuenca Azogues Cuenca 010109 Ecuador Agua Potable Alcantarillado Saneamiento ETAPA EP Empresa Publ Municipal Telecomun Benigno Malo 7-78 & Mariscal Sucre Cuenca 010101 Ecuador

Rivers have been frequently assessed based on the presence of the EphemeropteraPlecopteraTrichoptera (EPT) taxa in order to determine the water quality status and develop conservation programs. This research evaluates the abiotic preferences of three families of the EPT taxa Baetidae, Leptoceridae and Perlidae in the Machangara River Basin located in the southern Andes of Ecuador. With this objective, using generalized linear models (GLMs), we analyzed the relation between the probability of occurrence of these pollution-sensitive macroinvertebrates families and physicochemical water quality conditions. The explanatory variables of the constructed GLMs differed substantially among the taxa, as did the preference range of the common predictors. In total, eight variables had a substantial influence on the outcomes of the three models. For choosing the best predictors of each studied taxa and for evaluation of the accuracy of its models, the Akaike information criterion (AIC) was used. The results indicated that the GLMs can be applied to predict either the presence or the absence of the invertebrate taxa and moreover, to clarify the relation to the environmental conditions of the stream. In this manner, these modeling tools can help to determine key variables for river restoration and protection management.

关键词： generalized linear models predictive models decision support in water management generalized linear modeling

来源：评论

学校读者我要写书评

暂无评论

Predicting Vascular Plant Diversity in Anthropogenic Peatlands: Comparison of Modeling Methods with Free Satellite Data

引用

REMOTE SENSING 2017年第7期9卷

作者： Castillo-Riffart, Ivan Galleguillos, Mauricio Lopatin, Javier Perez-Quezada, Jorge F. Univ Chile Dept Environm Sci & Renewable Nat Resources Casilla 1004 Santiago 8820808 Chile Univ Chile Ctr Climate Resilience Res Santiago 8370449 Chile Karlsruhe Inst Technol Inst Geog & Geoecol Kaiserstr 12 D-76131 Karlsruhe Germany Inst Ecol & Biodivers Las Palmeras 3425 Santiago 7800003 Chile

Peatlands are ecosystems of great relevance, because they have an important number of ecological functions that provide many services to mankind. However, studies focusing on plant diversity, addressed from the remote sensing perspective, are still scarce in these environments. In the present study, predictions of vascular plant richness and diversity were performed in three anthropogenic peatlands on Chiloe Island, Chile, using free satellite data from the sensors OLI, ASTER, and MSI. Also, we compared the suitability of these sensors using two modeling methods: random forest (RF) and the generalized linear model (GLM). As predictors for the empirical models, we used the spectral bands, vegetation indices and textural metrics. Variable importance was estimated using recursive feature elimination (RFE). Fourteen out of the 17 predictors chosen by RFE were textural metrics, demonstrating the importance of the spatial context to predict species richness and diversity. Non-significant differences were found between the algorithms;however, the GLM models often showed slightly better results than the RF. Predictions obtained by the different satellite sensors did not show significant differences;nevertheless, the best models were obtained with ASTER (richness: R-2 = 0.62 and %RMSE = 17.2, diversity: R-2 = 0.71 and % RMSE = 20.2, obtained with RF and GLM respectively), followed by OLI and MSI. Diversity obtained higher accuracies than richness;nonetheless, accurate predictions were achieved for both, demonstrating the potential of free satellite data for the prediction of relevant community characteristics in anthropogenic peatland ecosystems.

关键词： fen wetland richness Shannon index OLI ASTER MSI random forest generalized linear models Sphagnum

来源：评论

学校读者我要写书评

暂无评论

Determination of Lethal Concentrations Using an R Software Function Integrating the Abbott Correction

引用

Journal of Agricultural Science and Technology(A) 2017年第1期7卷 25-30页

作者： Merveille Koissi Savi Essomanda Tchandao Mangamana Jean Marcel Deguenon Castro Gbememali Hounmenou Romain Glele Kakai Laboratoire de Biomathematiques et d'Estimations Forestieres Faculty of Agronomic Sciences University of Abomey-Calavi 04BP 1525 Cotonou Benin Department of Entomology and Plant Pathology North Carolina State University Campus Box 7616 Raleigh USA

Several thousands of chemical substances are registered every year for different purposes, and sometimes many of them are claimed to play the same role. To establish and compare their toxicities, the determination of the lethal concentrations is usually necessary and should account for natural mortality. However, many of the statistical software packages used for that purpose do not readily integrate control mortality or adjust the best link function to the data during the process. This manuscript proposes an ＂lc＂ function in the R open source that aims at the effective determination of lethal concentrations. Furthermore, it performs the procedure with the appropriate link function. The ＂lc＂ application on the example provided revealed that the complementary log link function is adequate.

关键词： Toxicity lethal concentration Abbott correction binomial family links generalized linear models pesticides.

来源：评论

学校读者我要写书评

暂无评论

Conflict analysis using Bayesian neural networks and generalized linear models

引用

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 2010年第2期61卷 332-341页

作者： Iswaran, N. Percy, D. F. Univ Salford Ctr Operat Res & Appl Stat Salford Business Sch Manchester M5 4WT England

The study of conflict analysis has recently become more important due to current world events. Despite numerous quantitative analyses on the study of international conflict, the statistical results are often inconsistent with each other. The causes of conflict, however, are often stable and replicable when the prior probability of conflict is large. As there has been much conjecture about neural networks being able to cope with the complexity of such interconnected and interdependent data, we formulate a statistical version of a neural network model and compare the results to those of conventional statistical models. We then show how to apply Bayesian methods to the preferred model, with the aim of finding the posterior probabilities of conflict outbreak and hence being able to plan for conflict prevention. Journal of the Operational Research Society (2010) 61, 332-341. doi: 10.1057/jors.2008.183 Published online 4 March 2009

关键词： Bayesian inference conflict analysis generalized linear models neural networks

来源：评论

学校读者我要写书评

暂无评论

Predicting liquefaction probability based on shear wave velocity: an update

引用

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 2016年第3期75卷 1199-1214页

作者： Shen, Mengfen Chen, Qiushi Zhang, Jie Gong, Wenping Juang, C. Hsein Clemson Univ Glenn Dept Civil Engn Clemson SC 29634 USA Tongji Univ Dept Geotech Engn Shanghai 200092 Peoples R China

The simplified methods based on the cone penetration test (CPT), standard penetration test (SPT), and shear wave velocity (V-s) test are prevalent in liquefaction potential evaluation. In this study, new case histories with the shear wave velocity measurements and the liquefaction phenomenon observations are compiled from the 22 February 2011 Canterbury earthquakes in New Zealand. The new case histories are combined with the existing Vs database for assessing and updating probabilistic models. The widely used logistic regression models, as well as other probabilistic models, are examined in the framework of generalized linear models (GLMs). To this end, the maximum likelihood estimation (MLE) principle is used to determine the model parameters. Then, the developed generalized linear models are ranked using three model assessment criteria. Based on the assessment criteria adopted, the log-log and logistic models are recommended for both the existing and the combined database. The updated log-log model and logistic model are recommended for shear wave velocity based liquefaction potential evaluation.

关键词： Liquefaction potential evaluation Shear wave velocity generalized linear models Probabilistic models

来源：评论

学校读者我要写书评

暂无评论

Weak linear representation of M-estimaton in GLMs with dependent errors

引用

STOCHASTICS AND DYNAMICS 2017年第5期17卷

作者： Zeng, Zhen Hu, Hongchang Hubei Normal Univ Coll Math & Stat Hubei Huangshi *** Hubei Peoples R China

In this paper, we consider the generalized linear models (GLMs) y(i) = h(X-i(T) ss) + e(i), 1 <= i <= n, where h(.) is a continuous differentiable function, e(i) are dependent errors. We obtain the M-estimator (ss) over cap (n) of ss from the following equation: (ss) over cap (n) = arg min (ss){Sigma(n)(i-1) rho(y(i) - h(X-i(T) ss))}, where rho is assumed to be a convex function. We also show the linear representation and asymptotic normality of the estimator, which extend the correspondingly results of Wu et al. (M-estimation of linear models with dependent errors, Ann. Statist. 2007) to GLMs.

关键词： generalized linear models M-estimator linear representation asymptotic normality dependent errors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：