標(biāo)題: Titlebook: Compstat; Proceedings in Compu Wolfgang H?rdle,Bernd R?nz Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Markov Chain.M [打印本頁] 作者: EVOKE 時(shí)間: 2025-3-21 20:05
書目名稱Compstat影響因子(影響力)
書目名稱Compstat影響因子(影響力)學(xué)科排名
書目名稱Compstat網(wǎng)絡(luò)公開度
書目名稱Compstat網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Compstat被引頻次
書目名稱Compstat被引頻次學(xué)科排名
書目名稱Compstat年度引用
書目名稱Compstat年度引用學(xué)科排名
書目名稱Compstat讀者反饋
書目名稱Compstat讀者反饋學(xué)科排名
作者: interrupt 時(shí)間: 2025-3-21 20:46 作者: impale 時(shí)間: 2025-3-22 02:13 作者: BOLUS 時(shí)間: 2025-3-22 06:30 作者: curettage 時(shí)間: 2025-3-22 10:44
A Bayesian Model for Compositional Data AnalysisWe introduce a Bayesian hierarchical model for the analysis of compositional data, where the source data are observed as indicator measurements rather than direct proportions. We focus on an application of the model to water quality data, where we apportion stream water to three sources.作者: 苦惱 時(shí)間: 2025-3-22 13:54 作者: 苦惱 時(shí)間: 2025-3-22 19:18
Wolfgang H?rdle,Bernd R?nzIncludes supplementary material: 作者: constitutional 時(shí)間: 2025-3-22 21:52 作者: Sleep-Paralysis 時(shí)間: 2025-3-23 04:18
https://doi.org/10.1057/9781403982797. The basic idea is that, for a fixed value of the covariate, a Box-Cox transformation of the response is applied to obtain standard normality. The three parameters are chosen to maximize a penalized log-likelihood. One unpublished extension by Lopatatzidis and Green is to transform to a gamma distr作者: 有權(quán)威 時(shí)間: 2025-3-23 07:57 作者: 雜役 時(shí)間: 2025-3-23 11:11 作者: Ingest 時(shí)間: 2025-3-23 17:50
https://doi.org/10.1057/9781403982797 procedures on a spreadsheet interface and versatile graphing tools. KyPlot has the functionality of running a screen show to present the created graphs and schemes. It also supports an interactive system of graph fitting, including nonlinear regression, interpolation and a variety of smoothing meth作者: MOT 時(shí)間: 2025-3-23 19:54
https://doi.org/10.1007/978-3-531-91346-9f flows at a busy internet link are developed. These show graphically that the set of flows is dominated by a relatively few “elephants”, and a very large number of “mice”. It also becomes clear that “representative sampling” from heavy tail distributions is a challenging task.作者: intellect 時(shí)間: 2025-3-23 23:19 作者: Friction 時(shí)間: 2025-3-24 04:55
Die HipHop-Szene als ?Kultur der Stra?e’?volved. We then propose a simple approach to class prediction for DNA microarrays, based on a enhancement of the nearest centroid classifier. Our technique uses soft-thresholded class centroids as prototypes for each class. The shrinkage improves significantly prediction performance, and identifies 作者: MEAN 時(shí)間: 2025-3-24 06:51
Stra?e als kultureller Aktionsraumengths and weaknesses. Examples of such electronic textbooks are the CDROM—based ActivStats, the Web—based CyberStats, and the CD—ROM— and Web—based MM*Stat,.In the first part of this paper, we will present our experiences from teaching an undergraduate “Introductory Statistic” course at Utah State 作者: CORD 時(shí)間: 2025-3-24 12:03
Vorbereitende und begleitende Arbeiten,ed to compute the marginal likelihood, but simplicity is not the strongest point of most methods. At the same time, the precision of methods is often questionable..In this paper several methods are presented in a common framework. The explanation of the differences is followed by an application, in 作者: Cardioversion 時(shí)間: 2025-3-24 15:36 作者: 吸氣 時(shí)間: 2025-3-24 22:04
https://doi.org/10.1007/978-3-8351-9217-1quantify the quality of a clustering solution, without being dependent on external information. The principle of maximizing the cluster stability can be interpreted as choosing the most . data partitioning. We present an empirical estimator for the theoretically derived stability index, based on imi作者: Arable 時(shí)間: 2025-3-24 23:32
Vorbereitende und begleitende Arbeiten,e by means of spline interpolation of its sample paths and then by differentiating its Karhunen-Loève expansion. A comparative study of forecasting, using the Kalman-Bucy filter, with simulated data is presented from a well known non-stationary process, the Brownian motion, discussing its advantages作者: forbid 時(shí)間: 2025-3-25 03:46
https://doi.org/10.1007/978-3-8351-9217-1bles users to generate animal populations having realistically complex spatial and individual characteristics, to generate survey designs for a variety of survey techniques, to survey the populations and to estimate the abundance. It can be used to assess properties of estimators when the model assu作者: 搖晃 時(shí)間: 2025-3-25 08:17 作者: JECT 時(shí)間: 2025-3-25 11:51 作者: Platelet 時(shí)間: 2025-3-25 19:42
978-3-7908-1517-7Springer-Verlag Berlin Heidelberg 2002作者: 滋養(yǎng) 時(shí)間: 2025-3-25 21:09
https://doi.org/10.1057/9781403982797stochastic process by cutting series in seasonal periods. The new approach consists of modelling principal components as ARIMA processes and then to formulate a mixed PC-ARIMA model for the time series. This methodology is then applied to the climatic phenomenon known as .作者: Between 時(shí)間: 2025-3-26 00:31 作者: febrile 時(shí)間: 2025-3-26 04:55 作者: Efflorescent 時(shí)間: 2025-3-26 12:26
https://doi.org/10.1007/978-3-8351-9217-1bles users to generate animal populations having realistically complex spatial and individual characteristics, to generate survey designs for a variety of survey techniques, to survey the populations and to estimate the abundance. It can be used to assess properties of estimators when the model assumptions are violated.作者: Lacerate 時(shí)間: 2025-3-26 16:03
Forecasting PC-ARIMA Models for Functional Datastochastic process by cutting series in seasonal periods. The new approach consists of modelling principal components as ARIMA processes and then to formulate a mixed PC-ARIMA model for the time series. This methodology is then applied to the climatic phenomenon known as .作者: beta-carotene 時(shí)間: 2025-3-26 19:50 作者: 有罪 時(shí)間: 2025-3-26 22:29 作者: overture 時(shí)間: 2025-3-27 03:18
A Wildlife Simulation Package (,)bles users to generate animal populations having realistically complex spatial and individual characteristics, to generate survey designs for a variety of survey techniques, to survey the populations and to estimate the abundance. It can be used to assess properties of estimators when the model assumptions are violated.作者: braggadocio 時(shí)間: 2025-3-27 05:22
Conference proceedings 2002t Communications and Posters is published on CD. The COMPSTAT 2002 is the 15th conference in a serie of biannual conferences with the objective to present the latest developments in Computational Statistics and is taking place from August 24th to August 28th, 2002. Previous COMPSTATs were in Vienna 作者: defray 時(shí)間: 2025-3-27 11:57 作者: lanugo 時(shí)間: 2025-3-27 14:24
https://doi.org/10.1057/9781403982797ex nonlinear non-Gaussian models..In this paper, we show algorithms, implementations and parameter estimation for Monte Carlo filter and smoother. Various ways of the use of parallel computer are also discussed. The usefulness of the general state space modeling is illustrated with several examples.作者: 6Applepolish 時(shí)間: 2025-3-27 21:24
https://doi.org/10.1057/9781403982797hs and schemes. It also supports an interactive system of graph fitting, including nonlinear regression, interpolation and a variety of smoothing methods for nonparametric regression and density estimation.作者: 群居動(dòng)物 時(shí)間: 2025-3-28 00:55 作者: Dedication 時(shí)間: 2025-3-28 05:50 作者: arrhythmic 時(shí)間: 2025-3-28 08:25 作者: forecast 時(shí)間: 2025-3-28 10:47
Computational Methods for Time Series Analysisex nonlinear non-Gaussian models..In this paper, we show algorithms, implementations and parameter estimation for Monte Carlo filter and smoother. Various ways of the use of parallel computer are also discussed. The usefulness of the general state space modeling is illustrated with several examples.作者: Urea508 時(shí)間: 2025-3-28 18:18
KyPlot as a Tool for Graphical Data Analysishs and schemes. It also supports an interactive system of graph fitting, including nonlinear regression, interpolation and a variety of smoothing methods for nonparametric regression and density estimation.作者: collateral 時(shí)間: 2025-3-28 21:12
Teaching Statistics with Electronic TextbooksM*Stat,.In the first part of this paper, we will present our experiences from teaching an undergraduate “Introductory Statistic” course at Utah State University, using CyberStats. We compare this Web-based course with similar textbook-based courses and report student and instructor viewpoints.作者: Enthralling 時(shí)間: 2025-3-28 23:22 作者: insidious 時(shí)間: 2025-3-29 04:08
A Hotelling Test Based on MCDmatrix. The distribution of this new statistic differs from the classical one. Similarly to the classical .. distribution, we obtain a multiple of a certain F-distribution. It is shown through a Monte Carlo study that this approximation is very accurate, both at the normal model and at contamination models.作者: 表皮 時(shí)間: 2025-3-29 09:47 作者: Chronological 時(shí)間: 2025-3-29 14:21 作者: 使尷尬 時(shí)間: 2025-3-29 17:00 作者: Hallowed 時(shí)間: 2025-3-29 22:14 作者: 用不完 時(shí)間: 2025-3-29 23:59 作者: ESO 時(shí)間: 2025-3-30 08:08 作者: Germinate 時(shí)間: 2025-3-30 10:54
Die HipHop-Szene als ?Kultur der Stra?e’?a subset of the genes most responsible for class separation. The method performs as well or better than competitors from the literature, and is easy to understand and interpret. We illustrate the technique on data from three studies: small round blue cell tumors, leukemia and breast cancer.作者: jagged 時(shí)間: 2025-3-30 13:10
https://doi.org/10.1007/978-3-8351-9217-1tating independent sample-sets by way of resampling. Experiments on both toy-examples and real-world problems effectively demonstrate that the proposed validation principle is highly suited for model selection.作者: hematuria 時(shí)間: 2025-3-30 19:31 作者: MORPH 時(shí)間: 2025-3-31 00:17 作者: Needlework 時(shí)間: 2025-3-31 02:14 作者: cancer 時(shí)間: 2025-3-31 05:32 作者: largesse 時(shí)間: 2025-3-31 10:50 作者: 暫時(shí)休息 時(shí)間: 2025-3-31 13:57
Relativity and Resolution for High Dimensional Information Visualization with Generalized Associatiomension reduction. There is no limit for sample size and variable number. Three matrix maps for raw data matrix, object proximity matrix, and variable proximity matrix are created for visually extracting grouping structures for objects and variables and the interaction information between object-clu作者: Entirety 時(shí)間: 2025-3-31 19:41
Supervised Learning from Microarray Datavolved. We then propose a simple approach to class prediction for DNA microarrays, based on a enhancement of the nearest centroid classifier. Our technique uses soft-thresholded class centroids as prototypes for each class. The shrinkage improves significantly prediction performance, and identifies
