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1.
NonExistence of the First Moment of the Adjusted Least Squares Estimator in Multivariate ErrorsinVariables Model
Title:
NonExistence of the First Moment of the Adjusted Least Squares Estimator in Multivariate ErrorsinVariables Model
Author:
ChiLun Cheng
;
Alexander Kukush
ChiLun Cheng
;
Alexander Kukush
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Description:
Adjusted least squares, Equation error model, Functional model, Infinite first moment, Linear multivariate errorinvariables model, Structural model, 62J05, 62H12, 62H10
Adjusted least squares, Equation error model, Functional model, Infinite first moment, Linear multivariate errorinvariables model, Structural model, 62J05, 62H12, 62H10
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Document Type:
article
URL:
http://hdl.handle.net/10.1007/s001840060029z
http://hdl.handle.net/10.1007/s001840060029z
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Content Provider:
RePEc: Research Papers in Economics
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2.
A small sample estimator for a polynomial regression with errors in the variables
Title:
A small sample estimator for a polynomial regression with errors in the variables
Author:
ChiLun Cheng
;
Hans Schneeweiss
;
Markus Thamerus
ChiLun Cheng
;
Hans Schneeweiss
;
Markus Thamerus
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Document Type:
article
URL:
http://www.blackwellsynergy.com/doi/abs/10.1111/14679868.00258
http://www.blackwellsynergy.com/doi/abs/10.1111/14679868.00258
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RePEc: Research Papers in Economics
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3.
The Invariance of Some Score Tests in the Linear Model With Classical Measurement Error
Title:
The Invariance of Some Score Tests in the Linear Model With Classical Measurement Error
Author:
ChiLun Cheng
;
ChihLing Tsai
ChiLun Cheng
;
ChihLing Tsai
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Document Type:
article
URL:
http://www.ingentaconnect.com/content/asa/jasa/2004/00000099/00000467/art00028
http://www.ingentaconnect.com/content/asa/jasa/2004/00000099/00000467/art00028
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RePEc: Research Papers in Economics
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4.
The Invariance of Score Tests to Measurement Error
Open Access
Title:
The Invariance of Score Tests to Measurement Error
Author:
ChiLun Cheng
;
ChihLing Tsai
ChiLun Cheng
;
ChihLing Tsai
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Description:
. This paper investigates the invariance property of score tests for assessing heteroscedasticity, firstorder autoregressive disturbance, and the need for a BoxCox power transformation. Under specific constraints, we show that the score tests for measurement error models are the same as the corresponding wellestablished tests derived from cla...
. This paper investigates the invariance property of score tests for assessing heteroscedasticity, firstorder autoregressive disturbance, and the need for a BoxCox power transformation. Under specific constraints, we show that the score tests for measurement error models are the same as the corresponding wellestablished tests derived from classical regression models. We also discuss some possible generalizations.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20100216
Source:
http://www.stat.sinica.edu.tw/library/c_tec_rep/c200010.pdf
http://www.stat.sinica.edu.tw/library/c_tec_rep/c200010.pdf
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.3205
http://www.stat.sinica.edu.tw/library/c_tec_rep/c200010.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.3205
http://www.stat.sinica.edu.tw/library/c_tec_rep/c200010.pdf
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5.
Note on Two Estimators for the Polynomial Regression with Errors in the Variables
Open Access
Title:
Note on Two Estimators for the Polynomial Regression with Errors in the Variables
Author:
ChiLun Cheng
;
Hans Schneeweiss
ChiLun Cheng
;
Hans Schneeweiss
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20100916
Source:
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper96.ps.Z
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper96.ps.Z
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.6302
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.6302
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6.
Robust linear regression via bounded influence Mestimators
Title:
Robust linear regression via bounded influence Mestimators
Author:
Cheng, ChiLun
Cheng, ChiLun
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Description:
We investigate optimal bounded influence Mestimators in the general normal regression model with respect to different sensitivities. As a result, we answer some open questions in F. R. Hampel et al. (Robust Statistics, Chap. 6, Wiley, New York). Moreover, we examine the relationship among different sensitives and their associated optimal estima...
We investigate optimal bounded influence Mestimators in the general normal regression model with respect to different sensitivities. As a result, we answer some open questions in F. R. Hampel et al. (Robust Statistics, Chap. 6, Wiley, New York). Moreover, we examine the relationship among different sensitives and their associated optimal estimators and extend the idea of change of variance sensitivity to the case of the predicted value. ; robust regression influence function sensitivity changeofvariance function
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Document Type:
article
URL:
http://www.sciencedirect.com/science/article/B6WK94CRMBNNN1/2/efe0fe38fc402e5a4589c90fb5c7fba3
http://www.sciencedirect.com/science/article/B6WK94CRMBNNN1/2/efe0fe38fc402e5a4589c90fb5c7fba3
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RePEc: Research Papers in Economics
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7.
Bias of the quasi score estimator of a measurement error model under misspecification of the regressor distribution
Open Access
Title:
Bias of the quasi score estimator of a measurement error model under misspecification of the regressor distribution
Author:
Schneeweiss, Hans
;
Cheng, ChiLun
Schneeweiss, Hans
;
Cheng, ChiLun
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Description:
In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician erroneously adopts a normal distribution as his mo...
In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician erroneously adopts a normal distribution as his model for the regressor distribution. In the first type of misspecification the true model consists of a mixture of normal distributions which cluster round a single normal distribution, in the second type the true distribution is a normal distribution admixed with a second normal distribution of low weight. In both cases of misspecification the bias, of course, tends to zero when the size of misspecification tends to zero. However, in the first case the bias goes to zero in a flat way so that small deviations from the true model lead to a negligible bias, whereas in the second case the bias is noticeable even for small deviations from the true model.
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Publisher:
Techn. Univ.; Sonderforschungsbereich 386, Statistische Analyse Diskreter Strukturen München
Year of Publication:
2003
Document Type:
doctype:workingPaper
Language:
eng
Subjects:
ddc:310
ddc:310
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DDC:
310 Collections of general statistics
;
519 Probabilities & applied mathematics
(computed)
Rights:
http://www.econstor.eu/dspace/Nutzungsbedingungen
http://www.econstor.eu/dspace/Nutzungsbedingungen
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Relations:
Discussion paper // Sonderforschungsbereich 386 der LudwigMaximiliansUniversität München 340
URL:
http://hdl.handle.net/10419/31140
http://hdl.handle.net/10419/31140
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EconStor (German National Library of Economics, ZBW)
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8.
Bias of the structural quasiscore estimator of a measurement error model under misspecification of the regressor distribution
Title:
Bias of the structural quasiscore estimator of a measurement error model under misspecification of the regressor distribution
Author:
Schneeweiss, Hans
;
Cheng, ChiLun
Schneeweiss, Hans
;
Cheng, ChiLun
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Description:
In a structural measurement error model the structural quasiscore (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified, the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician erroneously adopts a normal distribut...
In a structural measurement error model the structural quasiscore (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified, the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician erroneously adopts a normal distribution as his model for the regressor distribution. In the first type of misspecification, the true model consists of a mixture of normal distributions which cluster around a single normal distribution, in the second type, the true distribution is a normal distribution admixed with a second normal distribution of low weight. In both cases of misspecification, the bias, of course, tends to zero when the size of misspecification tends to zero. However, in the first case the bias goes to zero in a flat way so that small deviations from the true model lead to a negligible bias, whereas in the second case the bias is noticeable even for small deviations from the true model. ; Measurement error model Structural case Bias Misspecification Mixture of multivariate normals Quasiscore estimator Robustness
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Document Type:
article
URL:
http://www.sciencedirect.com/science/article/B6WK94H0YYV91/2/da4654c9ec0aed992b90f43a69bc2c3e
http://www.sciencedirect.com/science/article/B6WK94H0YYV91/2/da4654c9ec0aed992b90f43a69bc2c3e
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RePEc: Research Papers in Economics
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9.
On the Polynomial Measurement Error Model
Title:
On the Polynomial Measurement Error Model
Author:
Cheng, ChiLun
;
Schneeweiß, Hans
Cheng, ChiLun
;
Schneeweiß, Hans
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Description:
This paper discusses point estimation of the coefficients of polynomial measurement error (errorsinvariables) models. This includes functional and structural models. The connection between these models and total least squares (TLS) is also examined. A compendium of existing as well as new results is presented.
This paper discusses point estimation of the coefficients of polynomial measurement error (errorsinvariables) models. This includes functional and structural models. The connection between these models and total least squares (TLS) is also examined. A compendium of existing as well as new results is presented.
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Year of Publication:
20010101
Document Type:
doctype:workingPaper ; Paper ; NonPeerReviewed
Subjects:
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
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Relations:
http://epub.ub.unimuenchen.de/1639/1/paper_259.pdf ; Cheng, ChiLun und Schneeweiß, Hans (2001): On the Polynomial Measurement Error Model. Sonderforschungsbereich 386, Discussion Paper 259
URL:
http://epub.ub.unimuenchen.de/1639/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub16398
http://epub.ub.unimuenchen.de/1639/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub16398
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LudwigMaximiliansUniversity Munich: Open Access LMU
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10.
Bias of the Quasi Score Estimator of a Measurement Error Model Under Misspecification of the Regressor Distribution
Title:
Bias of the Quasi Score Estimator of a Measurement Error Model Under Misspecification of the Regressor Distribution
Author:
Schneeweiß, Hans
;
Cheng, ChiLun
Schneeweiß, Hans
;
Cheng, ChiLun
Minimize authors
Description:
In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician erroneously adopts a normal distribution as his mo...
In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased. Two types of misspecification are considered. Both assume that the statistician erroneously adopts a normal distribution as his model for the regressor distribution. In the first type of misspecification the true model consists of a mixture of normal distributions which cluster round a single normal distribution, in the second type the true distribution is a normal distribution admixed with a second normal distribution of low weight. In both cases of misspecification the bias, of course, tends to zero when the size of misspecification tends to zero. However, in the first case the bias goes to zero very fast so that small deviations from the true model lead only to a negligible bias, whereas in the second case the bias is noticeable even for small deviations from the true model.
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Year of Publication:
20030101
Document Type:
doctype:workingPaper ; Paper ; NonPeerReviewed
Subjects:
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
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DDC:
519 Probabilities & applied mathematics
(computed)
Relations:
http://epub.ub.unimuenchen.de/1718/1/paper_340.pdf ; Schneeweiß, Hans und Cheng, ChiLun (2003): Bias of the Quasi Score Estimator of a Measurement Error Model Under Misspecification of the Regressor Distribution. Sonderforschungsbereich 386, Discussion Paper 340
URL:
http://epub.ub.unimuenchen.de/1718/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub17183
http://epub.ub.unimuenchen.de/1718/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub17183
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Author
(10) Cheng, ChiLun
(7) Mai, ChiLun
(6) Yeh, ChenYu
(5) ChiLun Cheng
(5) Lee, GeneHsiang
(5) Peng, ShieMing
(5) Schneeweiß, Hans
(4) Cheng, MingChuan
(2) Chen, XiaoMing
(2) Cheng, KoTing
(2) Cheng, MeiFun
(2) ChihLing Tsai
(2) Department of Physics
(2) Fuh, Andy YingGuey
(2) Hans Schneeweiss
(2) Hsu, PeiYing
(2) Huang, ChiLun
(2) Jong, YuhShiun
(2) Lam, ChiKeung
(2) Li, ChiLun
(2) Li, WaiKee
(2) Lin, Lin
(2) Liu, ChengKai
(2) Mak, T.C.W.
(2) Schneeweiss, Hans
(2) The Pennsylvania State University CiteSeerX...
(2) Ting, ChiLun
(2) Wu, ChihCheng
(2) Wu, YenWen
(2) Wu, YuChin
(2) Yang, WeiShiung
(2) Zhang, JiePeng
(2) 應用化學系所
(1) (KuanHao Tsui);(WenLing Lee,);(KokMin...
(1) Alexander Kukush
(1) CHENG, CHILUN
(1) ChenYu Yeh
(1) Cheng, ChiLun;Liao, ChenTuo
(1) Comte, Pascal
(1) Giordano, Fabrizio
(1) Graetzel, Michael
(1) Ho, FengYi
(1) Hsieh, ChouPou;Lu, HsuehPei;Chiu,...
(1) Hsu, ChiLun
(1) Hsu, ChiaWei
(1) Huang, ChiLun;Wu, YenWen;Wu, ChihCheng;Lin,...
(1) Kim, Yongjoo
(1) Kukush, Alexander
(1) Kuo, MingCheng
(1) Li, KuoTseng, Dai, ChiLun and Li, ChengYu
(1) Li, MingShian
(1) Lin, ChengChung
(1) Lo, ShangShih
(1) Mai, ChiLun;Huang, WeiKai;Lu, HsuehPei;Lee,...
(1) Markus Thamerus
(1) Mastronardi, Nicola
(1) Moehl, Thomas
(1) Ness, John W. Van
(1) Paige, Chris
(1) ShuHua Cheng;ChingYao Lin;MingYu...
(1) Su, PoCheng
(1) Thamerus, Markus
(1) Tsai, JiaRen
(1) VAN NESS, JOHN W.
(1) Van Huffel, Sabine
(1) Wolf, R.
(1) Yella, Aswani
(1) Yen, WeiNan
(1) Zakeeruddin, Shaik M.
(1) 中興大學
(1) 中醫學院中醫學系學士班中醫內科學科;中國附醫醫學研究部遺傳中心;
(1) 吳造中, ;吳彥雯, ;許秉依, ;楊偉勛, ;許沛瑩
(1) 廖振鐸
(1) 徐啟倫
(1) 李國禎、戴啟倫、李正宇
(1) 東海大學化材系
(1) 林正中
(1) 臺大醫院;臺大醫院內科部;臺大醫院核子醫學部;臺大醫院雲林分院;臺大醫院新竹分院;臺大醫學...
(1) 臺灣大學:農藝學研究所
(1) 葉鎮宇
(1) 蔡嘉仁
(1) 鄭淑華;林敬堯;郭明裕;曾炳墝
(1) 麥綺倫
Author:
Subject
(7) cell parameters
(7) crystal structure
(7) crystal system
(7) experimental 3d coordinates
(7) space group
(5) ddc 510
(5) sonderforschungsbereich 386
(3) 23
(1) 13
(1) 165
(1) 17
(1) 2
(1) 20
(1) 62f35
(1) 62j05
(1) 85
(1) adipocyte fatty acid binding protein
(1) adipocyte fatty acid binding protein coronary...
(1) adsorption
(1) articles
(1) axial polarrizer
(1) axially symmetrical vertical alignment liquid...
(1) azo dye
(1) cholesteric
(1) circularly symmetrical isocontrast
(1) confidence interval converge probability...
(1) coronary artery disease
(1) ddc 310
(1) errors in variables regression
(1) fisher consistency
(1) generalized m estimates
(1) gonadotropin releasing hormone es 2 ovarian cancer
(1) liquid crystals
(1) measurement error model
(1) molcular swicth porphyrin dye sensitized solar...
(1) npr pencil sketching
(1) original investigation
(1) robust statistics
(1) single photon emission computed tomography
(1) structural model
(1) 信賴區間 覆蓋機率 期望長度 異質性測量誤差 同質性測量誤差 確認性 測量誤差模型
(1) 分子開關 紫質 染料敏化太陽能電池
(1) 徐啟倫 素描 非擬真顯像
Subject:
Dewey Decimal Classification (DDC)
(4) Statistics [31*]
(3) Mathematics [51*]
(3) Chemistry [54*]
(2) Medicine & health [61*]
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(2) 2014
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(1) Chinese
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