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|a (JST)25464553
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|a eng
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|2 MSC
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|a 91B72
|2 MSC
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|a 62G08
|2 MSC
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|a Li, Yehua
|e verfasserin
|4 aut
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|a Nonparametric Estimation of Correlation Functions in Longitudinal and Spatial Data, with Application to Colon Carcinogenesis Experiments
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|c 2007
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|a Text
|b txt
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|a Computermedien
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|a In longitudinal and spatial studies, observations often demonstrate strong correlations that are stationary in time or distance lags, and the times or locations of these data being sampled may not be homogeneous. We propose a nonparametric estimator of the correlation function in such data, using kernel methods. We develop a pointwise asymptotic normal distribution for the proposed estimator, when the number of subjects is fixed and the number of vectors or functions within each subject goes to infinity. Based on the asymptotic theory, we propose a weighted block bootstrapping method for making inferences about the correlation function, where the weights account for the inhomogeneity of the distribution of the times or locations. The method is applied to a data set from a colon carcinogenesis study, in which colonic crypts were sampled from a piece of colon segment from each of the 12 rats in the experiment and the expression level of p27, an important cell cycle protein, was then measured for each cell within the sampled crypts. A simulation study is also provided to illustrate the numerical performance of the proposed method.
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|a Copyright 2007 Institute of Mathematical Statistics
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|a Asymptotic theory
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|a Bootstrap
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|a Colon carcinogenesis
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|a Correlation functions
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|a Dependent data
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|a Functional data
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|a Gene expression
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|a Kernel regression
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|a Nonparametric regression
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|a Spatial data
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|a Time series
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Estimators
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Correlations
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Multivariate statistical analysis
|x Covariance
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Normal distribution curve
|x Standard deviation
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|a Mathematics
|x Pure mathematics
|x Probability theory
|x Random variables
|x Stochastic processes
|x Poisson process
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
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|a Health sciences
|x Medical conditions
|x Diseases
|x Neoplasia
|x Neoplastic processes
|x Carcinogenesis
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|a Information science
|x Data products
|x Datasets
|x Time series
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|a Information science
|x Information management
|x Data management
|x Data types
|x Spatial data
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|
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
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|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Estimators
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|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Correlations
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Multivariate statistical analysis
|x Covariance
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Normal distribution curve
|x Standard deviation
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650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Random variables
|x Stochastic processes
|x Poisson process
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650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
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650 |
|
4 |
|a Health sciences
|x Medical conditions
|x Diseases
|x Neoplasia
|x Neoplastic processes
|x Carcinogenesis
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650 |
|
4 |
|a Information science
|x Data products
|x Datasets
|x Time series
|
650 |
|
4 |
|a Information science
|x Information management
|x Data management
|x Data types
|x Spatial data
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Nonparametric Curve Estimation and Deconvolution
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|a research-article
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|a Wang, Naisyin
|e verfasserin
|4 aut
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|a Hong, Meeyoung
|e verfasserin
|4 aut
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|a Turner, Nancy D.
|e verfasserin
|4 aut
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|a Lupton, Joanne R.
|e verfasserin
|4 aut
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|a Carroll, Raymond J.
|e verfasserin
|4 aut
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0 |
8 |
|i Enthalten in
|t The Annals of Statistics
|d Institute of Mathematical Statistics
|g 35(2007), 4, Seite 1608-1643
|w (DE-627)270129162
|w (DE-600)1476670-X
|x 00905364
|7 nnns
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|g volume:35
|g year:2007
|g number:4
|g pages:1608-1643
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|u https://www.jstor.org/stable/25464553
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|d 35
|j 2007
|e 4
|h 1608-1643
|