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1. Full Text Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood
by Lin, Hongmei and Zhang, Riquan and Xu, Wenchao and Wang, Yuedong
Computational Statistics and Data Analysis, ISSN 0167-9473, 06/2017, Volume 110, pp. 50 - 63
Vascular access complications have been the major cause of excessive morbidity and mortality in the dialysis population. They also account for a large portion... 
Local quasi-likelihood | Local linear smoothing | Hospitalization | Branching curves | Haemodialysis | MORTALITY | SINGLE-INDEX MODELS | STATISTICS & PROBABILITY | LONGITUDINAL DATA | CURVES | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | HEMODIALYSIS-PATIENTS | VASCULAR ACCESS TYPE | Health aspects | Analysis | Time perception | Mortality
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2. Full Text Fuzzy nonparametric regression based on local linear smoothing technique
by Wang, Ning and Zhang, Wen-Xiu and Mei, Chang-Lin
Information Sciences, ISSN 0020-0255, 2007, Volume 177, Issue 18, pp. 3882 - 3900
In a great deal of literature on fuzzy regression analysis, most of research has focused on some predefined parametric forms of fuzzy regression relationships,... 
Local linear smoothing | Fuzzy nonparametric regression | LR fuzzy number | Smoothing parameter | NEURAL NETWORKS | INPUT | MODELS | COMPUTER SCIENCE, INFORMATION SYSTEMS | local linear smoothing | smoothing parameter | OUTPUT DATA | fuzzy nonparametric regression | LEAST-SQUARES
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3. Full Text Local linear smoothing for sparse high dimensional varying coefficient models
by Lee, Eun Ryung and Mammen, Enno
Electronic Journal of Statistics, ISSN 1935-7524, 2016, Volume 10, Issue 1, pp. 855 - 894
Varying coefficient models are useful generalizations of parametric linear models. They allow for parameters that depend on a covariate or that develop in... 
High-dimensional data | Partially linear varying coefficient model | Penalized methods | Sparse estimation | Consistent structural identification | Oracle inequality | Semiparametric model | Kernel method | Oracle property | Time varying coefficient models | Local stationarity | Local stationary time series | BIC | Local linear method | Second order cone programming | CRITERIA | local linear method | semi-parametric model | TIME-SERIES MODELS | high-dimensional data | oracle in-equality | oracle property | kernel method | partially linear varying coefficient model | NONPARAMETRIC REGRESSION | STATISTICS & PROBABILITY | VARIABLE SELECTION | ORACLE PROPERTIES | consistent structural identification | NONCONCAVE PENALIZED LIKELIHOOD | SHRINKAGE | LASSO | penalized methods | second order cone programming | local stationary time series | local stationarity | time varying coefficient models
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4. Full Text Local linear smoothing to estimate accelerated lifetime model with censoring and truncation
by López-Montoya, Antonio Jesús and Gámiz-Pérez, María Luz and Martínez-Miranda, María Dolores
Applied Mathematical Modelling, ISSN 0307-904X, 08/2015, Volume 39, Issue 16, pp. 4630 - 4645
A nonparametric accelerated failure time ( ) model is considered to evaluate the dependability measures of a water supply system laid in a city of the... 
Water supply system | Bootstrap | Nonparametric | Local linear | Semi-parametric | Survival function | REGRESSION | TESTS | RANDOM CENSORSHIP | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | ENGINEERING, MULTIDISCIPLINARY | COVARIABLES | Analysis | Censorship
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5. Weighted Local Linear Smoothing Method for Randomly Right Censored Varying Coefficient Models
by Li, TZ
ALEA-LATIN AMERICAN JOURNAL OF PROBABILITY AND MATHEMATICAL STATISTICS, ISSN 1980-0436, 2016, Volume 13, Issue 2, pp. 753 - 778
In this paper, we propose a new estimation method for randomly right censored varying coefficient models and establish the asymptotic normality of the... 
random right censoring | REGRESSION-MODELS | SPLINE ESTIMATION | STATISTICS & PROBABILITY | OF-FIT TESTS | LONGITUDINAL DATA | KAPLAN-MEIER ESTIMATOR | VARIABLE SELECTION | asymptotic normality | Varying coefficient models | AVERAGE | TIME-SERIES | COVARIABLES | weighted local linear smoothing | LIKELIHOOD
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6. Full Text Real-time local smoothing for five-axis linear toolpath considering smoothing error constraints
by Huang, Jie and Du, Xu and Zhu, Li-Min
International Journal of Machine Tools and Manufacture, ISSN 0890-6955, 01/2018, Volume 124, pp. 67 - 79
Five-axis linear toolpaths (or blocks) are widely used in CNC machine tools. The tangential and curvature discontinuities at the corners of linear toolpath... 
Real-time local smoothing | Five-axis CNC machining | Curve parameter synchronization | Orientation smoothing error | CNC SYSTEM | PATH | DESIGN | ALGORITHM | ENGINEERING, MECHANICAL | INTERPOLATION | TRANSITION | SEGMENTS | ENGINEERING, MANUFACTURING | FEED | TRAJECTORY GENERATION | Tool industry | Machining
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7. Full Text Change Point Estimation by Local Linear Smoothing
by Grégoire, Gérard and Hamrouni, Zouhir
Journal of Multivariate Analysis, ISSN 0047-259X, 2002, Volume 83, Issue 1, pp. 56 - 83
We consider the problem of estimating jump points in smooth curves. Observations (Xi,Yi) i=1,Â…,n from a random design regression function are given. We focus... 
nonparametric regression | compound Poisson processes | local linear regression | change points | Compound Poisson processes | Change points | Local linear regression | Nonparametric regression | STATISTICS & PROBABILITY | JUMP | BANDWIDTH | nonparametric regression local linear regression change points compound Poisson processes.
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8. Full Text Estimation and hypothesis test for partial linear multiplicative models
by Zhang, Jun and Feng, Zhenghui and Peng, Heng
Computational Statistics and Data Analysis, ISSN 0167-9473, 12/2018, Volume 128, pp. 87 - 103
Estimation and hypothesis tests for partial linear multiplicative models are considered in this paper. A profile least product relative error estimation method... 
Model checking | Local linear smoothing | Partial linear models | Kernel smoothing | Variable selection | REGRESSION | STATISTICAL-INFERENCE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | STATISTICS & PROBABILITY | LIKELIHOOD | ADEQUACY
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9. Full Text ESTIMATION FOR A PARTIAL-LINEAR SINGLE-INDEX MODEL
by Jane-Ling Wang and Liugen Xue and Lixing Zhu and Yun Sam Chong
The Annals of Statistics, ISSN 0090-5364, 2/2010, Volume 38, Issue 1, pp. 246 - 274
In this paper, we study the estimation for a partial-linear single-index model. A two-stage estimation procedure is proposed to estimate the link function for... 
Preliminary estimates | Dimensionality reduction | Estimate reliability | Linear regression | Least squares | Data smoothing | Linear models | Modeling | Estimators | Estimation methods | Two-stage estimation | Dimension reduction | Local linear smoothing | Kernel smoother | Bandwidth | bandwidth | STATISTICS & PROBABILITY | local linear smoothing | SLICED INVERSE REGRESSION | ASYMPTOTICS | kernel smoother | two-stage estimation | CONVERGENCE-RATES | 62G05 | 62G20
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10. Full Text Generalized nonparametric smoothing with mixed discrete and continuous data
by Li, Degui and Simar, Léopold and Zelenyuk, Valentin
Computational Statistics and Data Analysis, ISSN 0167-9473, 08/2016, Volume 100, pp. 424 - 444
The nonparametric smoothing technique with mixed discrete and continuous regressors is considered. It is generally admitted that it is better to smooth the... 
Discrete regressors | Local linear smoothing | Kernel smoothing | Cross-validation | Nonparametric regression | STATISTICS & PROBABILITY | LEAST-SQUARES | LINEAR-REGRESSION SMOOTHERS | TECHNOLOGICAL-CHANGE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MODELS | RELATIVE CONTRIBUTIONS | GROWTH | CONVERGENCE | VARIABLES | Monte Carlo methods | Smoothing | Asymptotic properties | Samples | Mathematical models | Statistical methods | Regression analysis | Estimates
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11. Full Text Statistical inference in the partial linear models with the double smoothing local linear regression method
by He, Hua and Tang, Wan and Zuo, Guoxin
Journal of Statistical Planning and Inference, ISSN 0378-3758, 03/2014, Volume 146, pp. 102 - 112
Statistical inference about a partial linear model includes two parts, one linear and the other nonparametric. The double smoothing method proposed by is a... 
Partial linear model | Difference-based estimation | Double smoothing | Local linear regression | STATISTICS & PROBABILITY | CONVERGENCE-RATES
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12. Full Text Linear regression models with general distortion measurement errors
by Zhang, Jun and Gai, Yujie
Communications in Statistics: Simulation and Computation, ISSN 0361-0918, 2019, pp. 1 - 14
Local linear smoothing | Multiplicative distortion measurement errors | Additive distortion measurement errors | Varying coefficient models
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13. Full Text npbr: A package for nonparametric boundary regression in R
by Daouia, Abdelaati and Laurent, Thibault and Noh, Hohsuk
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 79, Issue 9, pp. 1 - 43
The package npbr is the first free specialized software for data edge and frontier analysis in the statistical literature. It provides a variety of functions... 
Spline smoothing | Local linear fitting | Piecewise polynomials | Multiple shape constraints | Boundary curve | Extreme-values | Linear programming | Kernel smoothing | Concavity | Monotonicity | FRONTIER ESTIMATION | spline smoothing | STATISTICS & PROBABILITY | linear programming | monotonicity | local linear fitting | extreme-values | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MONOTONE | piecewise polynomials | ESTIMATORS | kernel smoothing | INDEX | concavity | multiple shape constraints | boundary curve
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14. Full Text Efficient estimation and computation for the generalised additive models with unknown link function
by Lin, Huazhen and Pan, Lixian and Lv, Shaogao and Zhang, Wenyang
Journal of Econometrics, ISSN 0304-4076, 02/2018, Volume 202, Issue 2, pp. 230 - 244
The generalised additive models (GAM) are widely used in data analysis. In the application of the GAM, the link function involved is usually assumed to be a... 
Semiparametric efficiency | Local linear smoothing | Quasi-likelihood | Asymptotical properties | Generalised additive model
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15. Full Text From sparse to dense functional data and beyond
by Zhang, Xiaoke and Wang, Jane-Ling
Annals of Statistics, ISSN 0090-5364, 10/2016, Volume 44, Issue 5, pp. 2281 - 2321
Nonparametric estimation of mean and covariance functions is important in functional data analysis. We investigate the performance of local linear smoothers... 
Uniform convergence | Weighing schemes | Local linear smoothing | Asymptotic normality | L2 convergence | L-2 convergence | LOCAL LINEAR-REGRESSION | PRINCIPAL COMPONENT ANALYSIS | NONPARAMETRIC REGRESSION | STATISTICS & PROBABILITY | LONGITUDINAL DATA | CURVES | asymptotic normality | CONSISTENCY | MIXED-EFFECTS MODELS | VARYING-COEFFICIENT MODELS | ESTIMATORS | uniform convergence | weighing schemes | CONVERGENCE-RATES
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16. Full Text Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models
by Zhang, Jun and Lin, Bingqing and Feng, Zhenghui
Computational Statistics and Data Analysis, ISSN 0167-9473, 01/2020, Volume 141, pp. 77 - 93
In this paper we consider partial linear regression models when all the variables are measured with multiplicative distortion measurement errors. To eliminate... 
Confidence intervals | Profile least squared estimator | Local linear smoothing | Multiplicative distortion measurement errors | Calibration | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | DIVERGING NUMBER | STATISTICS & PROBABILITY | EMPIRICAL LIKELIHOOD | SELECTION | INFERENCE | ADJUSTED REGRESSION
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17. Full Text SEMIPARAMETRIC GEE ANALYSIS IN PARTIALLY LINEAR SINGLE-INDEX MODELS FOR LONGITUDINAL DATA
by Jia Chen and Degui Li and Hua Liang and Suojin Wang
The Annals of Statistics, ISSN 0090-5364, 8/2015, Volume 43, Issue 4, pp. 1682 - 1715
In this article, we study a partially linear single-index model for longitudinal data under a general framework which includes both the sparse and dense... 
Single-index models | Semiparametric estimation | Local linear smoothing | Longitudinal data | Efficiency | GEE | HOSPITAL ADMISSIONS | single-index models | VARIANCE FUNCTION | SPARSE | NONPARAMETRIC REGRESSION | STATISTICS & PROBABILITY | FUNCTIONAL DATA | longitudinal data | CHILDREN | AIR-POLLUTION | semiparametric estimation | INFERENCES | local linear smoothing | HEALTH | COVARIANCE MATRICES | 62G09 | 62G99 | 62H99
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18. Full Text Spline-backfitted kernel smoothing of partially linear additive model
by Ma, Shujie and Yang, Lijian
Journal of Statistical Planning and Inference, ISSN 0378-3758, 2011, Volume 141, Issue 1, pp. 204 - 219
A spline-backfitted kernel smoothing method is proposed for partially linear additive model. Under assumptions of stationarity and geometric mixing, the... 
B spline | Mixing | Bandwidths | Nadaraya–Watson estimator | Nonparametric regression | Local linear estimator | Knots | Nadaraya-Watson estimator | STATISTICS & PROBABILITY | IDENTIFICATION | INFERENCE | EFFICIENT | PREFRONTAL CORTEX
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19. Full Text Estimation in Partially Linear Single-Index Panel Data Models With Fixed Effects
by Chen, Jia and Gao, Jiti and Li, Degui
Journal of Business & Economic Statistics, ISSN 0735-0015, 07/2013, Volume 31, Issue 3, pp. 315 - 330
In this article, we consider semiparametric estimation in a partially linear single-index panel data model with fixed effects. Without taking the difference... 
Semiparametric estimation | Local linear smoothing | Panel data | Single-index model | NONPARAMETRIC-ESTIMATION | TIME-SERIES | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | Usage | Parameter estimation | Linear models (Statistics) | Smoothing (Statistics) | Gaussian distribution | Fixed-effects regression models | Linear regression models | Methods
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20. Full Text Estimation and hypothesis test for partial linear single-index multiplicative models
by Zhang, Jun and Cui, Xia and Peng, Heng
Annals of the Institute of Statistical Mathematics, ISSN 0020-3157, 2019, pp. 1 - 42
Estimation and hypothesis test for partial linear single-index multiplicative models are considered in this paper. To estimate unknown single-index parameter,... 
Model checking | Local linear smoothing | Single-index | Profile least product relative error estimator | Variable selection | Parameter estimation | Hypotheses | Bootstrap method | Computer simulation | Test procedures
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