Estimating smooth distribution function in the presence of heteroscedastic measurement errors.
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Deconvolution Estimation in Measurement Error Models: The R Package deconNormalizing bead-based microRNA expression data: a measurement error model-based approach.Nonparametric multistate representations of survival and longitudinal data with measurement error.Testing for differentially-expressed microRNAs with errors-in-variables nonparametric regression.Correcting for Measurement Error in Time-Varying Covariates in Marginal Structural Models.The effects of error magnitude and bandwidth selection for deconvolution with unknown error distribution.Conditional Density Estimation in Measurement Error Problems.Non-Gaussian Berkson errors in bioassay.
P2860
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P2860
Estimating smooth distribution function in the presence of heteroscedastic measurement errors.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Estimating smooth distribution ...... oscedastic measurement errors.
@en
type
label
Estimating smooth distribution ...... oscedastic measurement errors.
@en
prefLabel
Estimating smooth distribution ...... oscedastic measurement errors.
@en
P2093
P1476
Estimating smooth distribution ...... oscedastic measurement errors.
@en
P2093
Xiao-Feng Wang
Zhaozhi Fan
P2860
P356
10.1016/J.CSDA.2009.08.012
P577
2010-01-01T00:00:00Z