標(biāo)題: Titlebook: Applied Compositional Data Analysis; With Worked Examples Peter Filzmoser,Karel Hron,Matthias Templ Book 2018 Springer Nature Switzerland A [打印本頁(yè)] 作者: intern 時(shí)間: 2025-3-21 19:24
書(shū)目名稱Applied Compositional Data Analysis影響因子(影響力)
書(shū)目名稱Applied Compositional Data Analysis影響因子(影響力)學(xué)科排名
書(shū)目名稱Applied Compositional Data Analysis網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Applied Compositional Data Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Applied Compositional Data Analysis被引頻次
書(shū)目名稱Applied Compositional Data Analysis被引頻次學(xué)科排名
書(shū)目名稱Applied Compositional Data Analysis年度引用
書(shū)目名稱Applied Compositional Data Analysis年度引用學(xué)科排名
書(shū)目名稱Applied Compositional Data Analysis讀者反饋
書(shū)目名稱Applied Compositional Data Analysis讀者反饋學(xué)科排名
作者: 慢跑鞋 時(shí)間: 2025-3-21 21:51
Fundamentals of Room Acoustics,aken as first option. In addition, also other alternatives are considered: symmetric pivot coordinates, which are suitable for a bivariate analysis, and particularly balance coordinates, which are interpretable in the sense of balances between groups of compositional parts. They can be intuitively c作者: DAFT 時(shí)間: 2025-3-22 00:56
Propagation and Radiation of Sound,e displayed with the traditional ternary diagram. One just needs to be aware that the data to be visualized are driven by the Aitchison geometry, and thus there is the danger of misleading conclusions from this graphical tool. The overall preferred option is to display compositional data in any inte作者: Gratuitous 時(shí)間: 2025-3-22 06:33 作者: 門窗的側(cè)柱 時(shí)間: 2025-3-22 09:40
Yijun Yu,Arosha Bandara,Bashar Nuseibeh robustly estimated, is taken. For clustering observations (compositions), no particular methodological peculiarities occur; basically, any orthonormal logratio coordinates serve well for this purpose. In this chapter, some of the most popular methods are described in more detail: hierarchical clust作者: 故意 時(shí)間: 2025-3-22 14:16 作者: 不公開(kāi) 時(shí)間: 2025-3-22 18:22 作者: 消息靈通 時(shí)間: 2025-3-23 01:11 作者: 明智的人 時(shí)間: 2025-3-23 02:54
https://doi.org/10.1007/978-3-319-91683-5ariates, the case of real response and compositional explanatory variables, regression between two compositions, and finally also regression between the parts within one composition. A further important task is considered: variable selection of relevant covariates by forward and backward selection. 作者: Hyperalgesia 時(shí)間: 2025-3-23 09:30
Ahmad Faiz Zubair,Mohd Salman Abu Mansory just be related to noise, is nearly impossible. Accordingly, it is meaningful here to consider even the elemental information, contained in pairwise logratios, to build up a relevant method for marker identification or for the detection of cell-wise outliers. The latter one can be used to reveal w作者: esoteric 時(shí)間: 2025-3-23 10:56
Ali Jaboob,Omar Durrah,Aziza Chakirly the special case of 2?×?2 compositional tables is discussed, being dominant in practical applications. It turns out that for a coordinate representation of compositional tables the sequential binary partitioning is in general not appropriate as it does not respect the two-factor nature of composi作者: ECG769 時(shí)間: 2025-3-23 17:22
Imane Elimadi,Nadia Chafiq,Mohamed Ghazouanins consisting of counts. For the imputation of missing values, rounded and count zeros, model-based algorithms have been developed and are available in .. In contrast, structural zeros are a result of a structural process, and thus imputing them to obtain a full data set is not meaningful. There are作者: 能量守恒 時(shí)間: 2025-3-23 20:07
Book 2018s like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences,?all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.作者: Ebct207 時(shí)間: 2025-3-23 23:42 作者: Bridle 時(shí)間: 2025-3-24 04:50 作者: 凹槽 時(shí)間: 2025-3-24 10:01
Exploratory Data Analysis and Visualization,e displayed with the traditional ternary diagram. One just needs to be aware that the data to be visualized are driven by the Aitchison geometry, and thus there is the danger of misleading conclusions from this graphical tool. The overall preferred option is to display compositional data in any inte作者: palliative-care 時(shí)間: 2025-3-24 14:10
First Steps for a Statistical Analysis, is recommendable to apply robust counterparts to classical methods in practice. Either univariate or multivariate robust statistical processing can be performed, based on such logratio coordinate representation that serves the purpose of the analysis. Even the classical estimators of location and s作者: CUB 時(shí)間: 2025-3-24 14:53
Cluster Analysis, robustly estimated, is taken. For clustering observations (compositions), no particular methodological peculiarities occur; basically, any orthonormal logratio coordinates serve well for this purpose. In this chapter, some of the most popular methods are described in more detail: hierarchical clust作者: craven 時(shí)間: 2025-3-24 22:13 作者: 線 時(shí)間: 2025-3-25 00:11
Correlation Analysis,within the given composition are recommendable. Correlation analysis between two coordinates can also be extended to correlations between one coordinate and a set of coordinates, or to group correlations summarizing the relationships between balance representations of groups of compositional parts.作者: Estrogen 時(shí)間: 2025-3-25 05:33
Discriminant Analysis,t. The Fisher discriminant rule aims for the same goal, but now no underlying distributions of the samples in the groups are assumed and the idea is to search for projection directions which allow for a maximum separation of the group means with respect to the spread of the projected data. As a cons作者: ligature 時(shí)間: 2025-3-25 07:44 作者: fidelity 時(shí)間: 2025-3-25 14:57 作者: Bombast 時(shí)間: 2025-3-25 15:59 作者: 不透明性 時(shí)間: 2025-3-25 22:30
Preprocessing Issues,ns consisting of counts. For the imputation of missing values, rounded and count zeros, model-based algorithms have been developed and are available in .. In contrast, structural zeros are a result of a structural process, and thus imputing them to obtain a full data set is not meaningful. There are作者: 正式通知 時(shí)間: 2025-3-26 02:07
0172-7397 ily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences,?all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.978-3-319-96422-5Series ISSN 0172-7397 Series E-ISSN 2197-568X 作者: Conserve 時(shí)間: 2025-3-26 04:51 作者: Matrimony 時(shí)間: 2025-3-26 11:50
Fundamentals of Active Noise Control,spectively). Nevertheless, from a practical perspective it is much more intuitive to consider them as observations carrying relative information, where proportions stand just for one possible representation. Equivalently, all relevant information in compositional data is contained in ratios between 作者: Annotate 時(shí)間: 2025-3-26 15:56
https://doi.org/10.1007/978-3-540-92723-5a brief introduction to some functionalities of . is given. This introduction does not replace a general introduction to ., but it provides the background that is necessary to understand the examples and the . code in the book..The methods explained in this book are exclusively available in the . pa作者: Processes 時(shí)間: 2025-3-26 18:27
Fundamentals of Room Acoustics, of compositional data, this space is represented by equivalence classes of proportional vectors, possibly represented on the simplex, endowed with the Aitchison geometry. Its Euclidean vector space structure enables to construct coordinates with respect to a basis, eventually coefficients of a gene作者: Muscularis 時(shí)間: 2025-3-26 23:50
Propagation and Radiation of Sound,ith their scale invariance principle. Instead, geometric mean (center) and variation matrix, containing the variances of all pairwise logratios, are considered. The scale invariance of compositions has also serious implications for graphical visualization. Univariate plotting of single parts is no l作者: Diluge 時(shí)間: 2025-3-27 02:36
Fundamentals of Room Acoustics,eral. Particularly, due to the lack of scale invariance, the known Dirichlet distribution is no longer the “must” as the underlying distribution of compositions. It is rather preferred to make use of the concept of normal distribution on the simplex, because the appropriateness of the distribution c作者: 咆哮 時(shí)間: 2025-3-27 05:48
Yijun Yu,Arosha Bandara,Bashar Nuseibeheve highly homogeneous clusters, i.e. the observations (or compositional parts—in Q-mode clustering) within a cluster should be very similar to each other. On the other hand, different clusters should be dissimilar, because otherwise they should have been merged into one cluster. With cluster analys作者: 公社 時(shí)間: 2025-3-27 12:29
Marco Pacchione,Elke Hombergsmeiereduce dimensionality of the input data set by constructing new coordinates, called principal components, that seek for the highest possible explained variability. They can be derived by either using a singular value decomposition of the data matrix, or by an eigenvalue decomposition of the covarianc作者: 小步走路 時(shí)間: 2025-3-27 13:44
Marco Pacchione,Elke Hombergsmeierf compositional data, it might be particularly misleading to compute correlation coefficients for the original data: due to scale invariance of the compositions, any correlation values could be obtained, depending on the representation of the compositional data in the respective equivalence classes.作者: Acetaldehyde 時(shí)間: 2025-3-27 20:46 作者: Tracheotomy 時(shí)間: 2025-3-27 23:53
https://doi.org/10.1007/978-3-319-91683-5onal case, the proper choice of logratio coordinates matters, both due to the interpretation of the regression parameters and because of the properties of the regression models. And again, orthonormal coordinates, particularly in their pivot version, are preferable. Moreover, in case of regression w作者: 巫婆 時(shí)間: 2025-3-28 03:40
Ahmad Faiz Zubair,Mohd Salman Abu Mansorhods to be used for their statistical processing. This situation frequently occurs with chemometric data, particularly when dealing with observations from “omics”-fields (genomics, proteomics, or metabolomics). In principle, all methods that are popular in the context of high-dimensional data, like 作者: PALSY 時(shí)間: 2025-3-28 07:36 作者: 善于 時(shí)間: 2025-3-28 12:25 作者: 特征 時(shí)間: 2025-3-28 15:06
https://doi.org/10.1007/978-3-319-96422-5Compositional data; Applications of compositional data analysis; Multivariate statistical methods; Robu作者: peak-flow 時(shí)間: 2025-3-28 19:11 作者: 織布機(jī) 時(shí)間: 2025-3-29 01:53 作者: arbovirus 時(shí)間: 2025-3-29 04:34
Springer Series in Statisticshttp://image.papertrans.cn/a/image/159681.jpg作者: 異常 時(shí)間: 2025-3-29 08:07 作者: Chivalrous 時(shí)間: 2025-3-29 12:32
https://doi.org/10.1007/978-3-540-92723-5iscriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, (robust) Anderson-Darling normality tests for compositional data, as well as functions to express compositional data in coordinates.作者: 維持 時(shí)間: 2025-3-29 18:33
Analyzing Compositional Data Using R,iscriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, (robust) Anderson-Darling normality tests for compositional data, as well as functions to express compositional data in coordinates.作者: 殖民地 時(shí)間: 2025-3-29 22:28
Book 2018stical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced作者: ethnology 時(shí)間: 2025-3-30 00:23
Compositional Data as a Methodological Concept,spectively). Nevertheless, from a practical perspective it is much more intuitive to consider them as observations carrying relative information, where proportions stand just for one possible representation. Equivalently, all relevant information in compositional data is contained in ratios between 作者: 間諜活動(dòng) 時(shí)間: 2025-3-30 06:56
Analyzing Compositional Data Using R,a brief introduction to some functionalities of . is given. This introduction does not replace a general introduction to ., but it provides the background that is necessary to understand the examples and the . code in the book..The methods explained in this book are exclusively available in the . pa作者: BUMP 時(shí)間: 2025-3-30 11:04
Geometrical Properties of Compositional Data, of compositional data, this space is represented by equivalence classes of proportional vectors, possibly represented on the simplex, endowed with the Aitchison geometry. Its Euclidean vector space structure enables to construct coordinates with respect to a basis, eventually coefficients of a gene作者: dagger 時(shí)間: 2025-3-30 15:07 作者: 離開(kāi)就切除 時(shí)間: 2025-3-30 18:36
