派博傳思國(guó)際中心

標(biāo)題: Titlebook: Developments in Robust Statistics; International Confer Rudolf Dutter,Peter Filzmoser,Peter J. Rousseeuw Conference proceedings 2003 Spring [打印本頁(yè)]

作者: palliative 時(shí)間: 2025-3-21 17:33
書目名稱Developments in Robust Statistics影響因子(影響力)

書目名稱Developments in Robust Statistics影響因子(影響力)學(xué)科排名

書目名稱Developments in Robust Statistics網(wǎng)絡(luò)公開(kāi)度

書目名稱Developments in Robust Statistics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名

書目名稱Developments in Robust Statistics被引頻次

書目名稱Developments in Robust Statistics被引頻次學(xué)科排名

書目名稱Developments in Robust Statistics年度引用

書目名稱Developments in Robust Statistics年度引用學(xué)科排名

書目名稱Developments in Robust Statistics讀者反饋

書目名稱Developments in Robust Statistics讀者反饋學(xué)科排名

作者: 慎重 時(shí)間: 2025-3-21 20:39
Lift-zonoid and Multivariate Depths,ith full-dimensional convex hull of the support, the Oja depth determines the measure. The proof of this results are based on some relation between the Oja depth and projections of the lift zonoid. This relation allows us to use another result of integral geometry: the uniqueness theorem of Alexandr

作者: armistice 時(shí)間: 2025-3-22 01:15
Asymptotic Distributions of Some Scale Estimators in Nonlinear Models, .. is free of the initial estimator of the regression/autoregressive parameters. A similar conclusion also holds for .. in linear regression models through the origin and with centered designs, and in linear autoregressive models with zero mean errors..This paper also investigates the limiting dist

作者: Osteoporosis 時(shí)間: 2025-3-22 08:08
e e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.978-3-642-63241-9978-3-642-57338-5

作者: Exposure 時(shí)間: 2025-3-22 11:15
https://doi.org/10.1007/978-1-4615-4773-0ed by the usual regression quantiles, but additionally by a regression on the empirical quantile at each school. This is similar to least squares where the estimate based on the entire data is identical to weighted least squares on the school averages. Unlike least squares however, the regression th

作者: 激怒某人 時(shí)間: 2025-3-22 13:46
Women and Education in Muslim Contextith full-dimensional convex hull of the support, the Oja depth determines the measure. The proof of this results are based on some relation between the Oja depth and projections of the lift zonoid. This relation allows us to use another result of integral geometry: the uniqueness theorem of Alexandr

作者: 激怒某人 時(shí)間: 2025-3-22 19:36

作者: IRATE 時(shí)間: 2025-3-22 22:28

作者: airborne 時(shí)間: 2025-3-23 01:30

作者: Fillet,Filet 時(shí)間: 2025-3-23 07:29
Robust Inference Based on Quasi-likelihoods for Generalized Linear Models and Longitudinal Data, assessed for both generalized linear models and longitudinal data analysis. The proposed class of test statistics yields reliable inference even under model contamination. The analysis of a real data set completes the article.

作者: 刪除 時(shí)間: 2025-3-23 10:09

作者: 減震 時(shí)間: 2025-3-23 17:03

作者: 附錄 時(shí)間: 2025-3-23 19:10

作者: SSRIS 時(shí)間: 2025-3-24 01:21

作者: 消滅 時(shí)間: 2025-3-24 03:46

作者: 邊緣 時(shí)間: 2025-3-24 08:28
Hillary J. Morgan,Phillip R. Shaver case is analysed. The resulting method balances several qualitative features of statistical inference: strong differentiability (asymptotic derivations are more accurate), efficiency and natural model extension (quality of formal basic assumptions).

作者: 冒失 時(shí)間: 2025-3-24 12:15

作者: perpetual 時(shí)間: 2025-3-24 14:57
Conference proceedings 2003ia, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summar

作者: 脫落 時(shí)間: 2025-3-24 21:29

作者: 腫塊 時(shí)間: 2025-3-24 23:39

作者: THE 時(shí)間: 2025-3-25 05:06

作者: 向外才掩飾 時(shí)間: 2025-3-25 11:05

作者: BYRE 時(shí)間: 2025-3-25 12:11

作者: atopic-rhinitis 時(shí)間: 2025-3-25 17:02
Conference proceedings 2003s, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.

作者: INCH 時(shí)間: 2025-3-25 22:02

作者: 分發(fā) 時(shí)間: 2025-3-26 03:30
https://doi.org/10.1007/978-981-19-0500-1regression settings. We provide examples involving simultaneously specified spatial autoregressive models, as well as autoregressions from time series, for illustration. In particular, we show that in this context the least median of squares estimator has a breakdown-point much lower than the familiar 50%.

作者: 嗎啡 時(shí)間: 2025-3-26 05:02

作者: BLA 時(shí)間: 2025-3-26 11:05

作者: 極大痛苦 時(shí)間: 2025-3-26 13:00
Breakdown-Point for Spatially and Temporally Correlated Observations,regression settings. We provide examples involving simultaneously specified spatial autoregressive models, as well as autoregressions from time series, for illustration. In particular, we show that in this context the least median of squares estimator has a breakdown-point much lower than the familiar 50%.

作者: ARY 時(shí)間: 2025-3-26 18:39
Robust PCA for High-dimensional Data,is based on projection pursuit (.; .; ., .; .). The second method is a new proposal, which combines the notion of outlyingness (.; .) with the FAST-MCD algorithm (.). The performance and the robustness of these two methods are compared through a simulation study. We also illustrate the new method on a chemometrical data set.

作者: 戲法 時(shí)間: 2025-3-26 21:43
Jeffrey M. Adams,Warren H. Jonesst three moments of the data set, and hence it is strongly affected by the presence of one or more outliers. In this paper we propose several new measures of skewness which are more robust against outlying values. Their properties are compared using both real and simulated data.

作者: PON 時(shí)間: 2025-3-27 03:43
Handbook of Islamic Philosophy of Scienceontaining . A high depth point is a point whose depth is at least max. [.(P.)] For dimension . 2 we give a simple, easily implementable .(.(log .).) deterministic algorithm to compute a high depth point and we give an .(. log .) lower bound for this task.

作者: 比喻好 時(shí)間: 2025-3-27 08:49

作者: Delectable 時(shí)間: 2025-3-27 10:28
978-3-642-63241-9Springer-Verlag Berlin Heidelberg 2003

作者: blister 時(shí)間: 2025-3-27 14:49

作者: DAFT 時(shí)間: 2025-3-27 19:17

作者: BOGUS 時(shí)間: 2025-3-28 01:36
https://doi.org/10.1007/978-981-19-0500-1We consider M-estimators for a class of semiparametric mixed-effect models without time-dependent covariates and show that the simple marginal estimation method is generally better than the same M-estimator applied to the de-correlated response based on a known or estimated covariance matrix for each subject.

作者: 使增至最大 時(shí)間: 2025-3-28 05:40

作者: Factorable 時(shí)間: 2025-3-28 08:27

作者: 貿(mào)易 時(shí)間: 2025-3-28 12:22
Robust Tools in SAS,In this article, I introduce robust routines and a procedure in SAS. The routines are in SAS/IML, acting as function calls. They are LTS, LMS, MCD, MVE, LAV, and MAD. These routines have been released in SAS/IML V8.2 or in previous versions. The SAS/STAT procedure, ROBUSTREG, is experimental.

作者: 翻布尋找 時(shí)間: 2025-3-28 17:47

作者: 摻和 時(shí)間: 2025-3-28 20:00
Robust Nonparametric Regression and Modality,The paper considers the problem of nonparametric regression with emphasis on controlling the number of local extremes and on resistance against patches of outliers. The robust taut string method is introduced and robustness properties are discussed. An automatic procedure is described.

作者: 背心 時(shí)間: 2025-3-28 23:32
A Comparison of Some New Measures of Skewness,st three moments of the data set, and hence it is strongly affected by the presence of one or more outliers. In this paper we propose several new measures of skewness which are more robust against outlying values. Their properties are compared using both real and simulated data.

作者: 甜食 時(shí)間: 2025-3-29 03:36

作者: ABASH 時(shí)間: 2025-3-29 09:38

作者: Radiation 時(shí)間: 2025-3-29 12:48

作者: 多嘴 時(shí)間: 2025-3-29 18:31

作者: infantile 時(shí)間: 2025-3-29 19:59
Why Is Mediation So Hard? The Case of Syriancentrate on . - and . - estimators, both nonrecursive and recursive ones. The emphasis is on numerical algorithms and computational efficiency, not on their statistical properties. While the main interest is on convex ?-functions generating . estimators, it is pointed out that for non-convex ?-func

作者: 混合物 時(shí)間: 2025-3-30 02:18

作者: 否認(rèn) 時(shí)間: 2025-3-30 04:02
Commitment in the Early Years of Marriageh asymptotic efficiency. To compute the CM-estimate, the global minimum of an objective function with an inequality constraint has to be localized. To find the S-estimate for the same problem, we instead restrict ourselves to the boundary of the feasible region. The algorithm presented for computing

作者: fluoroscopy 時(shí)間: 2025-3-30 09:07

作者: Blasphemy 時(shí)間: 2025-3-30 16:01

作者: 神圣將軍 時(shí)間: 2025-3-30 16:38

作者: 助記 時(shí)間: 2025-3-30 22:17

作者: IRK 時(shí)間: 2025-3-31 04:33

作者: orthopedist 時(shí)間: 2025-3-31 05:39
https://doi.org/10.1007/978-981-19-0500-1istics and time series. In such situations, existing definitions typically fail because parameters can sometimes breakdown to zero, i.e. the center of the parameter space. The reason is that these definitions center around defining an explicit critical region for either the parameter or the objectiv

作者: 手銬 時(shí)間: 2025-3-31 09:30

作者: chisel 時(shí)間: 2025-3-31 14:35
Fluid Management in Perioperative Perioddels of time series are used: trend models under “outliers” and functional distortions, regression models under “outliers” and “errors-in-regressors”, autoregressive time series with parameter specification errors and non-homogeneous innovations. Robustness characteristics based on the mean square r

作者: 尾隨 時(shí)間: 2025-3-31 20:42
Women and Education in Muslim Contextclass of atomic measures, this depth determines the measure. Here we extend this characterization result for the class of absolutely continuous measures for which the function exp() is integrable with any.. Three issues play a key role in proving this characterization. The first, the Tukey med

作者: 樂(lè)意 時(shí)間: 2025-3-31 22:50

作者: strain 時(shí)間: 2025-4-1 05:10
Handbook of Islamic Philosophy of Scienceontaining . A high depth point is a point whose depth is at least max. [.(P.)] For dimension . 2 we give a simple, easily implementable .(.(log .).) deterministic algorithm to compute a high depth point and we give an .(. log .) lower bound for this task.

作者: 歡呼 時(shí)間: 2025-4-1 10:03
Robust Time Series Estimation via Weighted Likelihood,eighted likelihood. Two types of outliers, i.e. additive and innovation, are taken into account without knowing their number, position or intensity. A new procedure is used to classify the outliers and to bound the impact of additive outliers in order to improve the breakdown point of the method. Tw

作者: climax 時(shí)間: 2025-4-1 11:24
Selected Algorithms for Robust M- and L-Regression Estimators,ncentrate on . - and . - estimators, both nonrecursive and recursive ones. The emphasis is on numerical algorithms and computational efficiency, not on their statistical properties. While the main interest is on convex ?-functions generating . estimators, it is pointed out that for non-convex ?-func

作者: Crater 時(shí)間: 2025-4-1 14:28
A Simple Test to Identify Good Solutions of Redescending M Estimating Equations for Regression,e multiple structure in a data set (.; .), the focus in this paper is the re-descending M estimators for regression. We use multiple local minima for finding particular structures, such as lines, in the data set by associating them with the local minima in a re-descending M estimation problem for re

歡迎光臨派博傳思國(guó)際中心 (http://www.pjsxioz.cn/)

鄂托克前旗| 庆元县| 琼中| 宝坻区| 江孜县| 徐州市| 乌审旗| 万荣县| 张家口市| 阳曲县| 那曲县| 珠海市| 化州市| 宜兰市| 丹巴县| 宜都市| 柳河县| 米林县| 洞头县| 昂仁县| 松江区| 富蕴县| 寿宁县| 邯郸市| 昆明市| 苍南县| 芦溪县| 安陆市| 甘洛县| 平山县| 茌平县| 新兴县| 施甸县| 塔城市| 湖口县| 滁州市| 望江县| 连云港市| 旺苍县| 广汉市| 北海市|