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An analysis of variance test for normality (complete samples)

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A Practical Guide to Splines

1978 • 11,700 citations

Robust Locally Weighted Regression and Smoothing Scatterplots

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Cross-Validatory Choice and Assessment of Statistical Predictions

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The Jackknife, the Bootstrap and Other Resampling Plans

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Robust Statistics

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Spatial statistics

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Probability and Random Processes

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Smooth Regression Analysis

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Residuals and Influence in Regression

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Smoothing by spline functions

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Projection Pursuit Regression

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Generalized Linear Models

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Encyclopedia of Statistical Sciences.

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Statistical Predictor Identification

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Bayesian Inference in Statistical Analysis

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A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

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Nonparametric Functional Estimation

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Kernel estimation of regression functions

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Cross-Validatory Choice and Assessment of Statistical Predictions (With Discussion)

1976 • 661 citations

Iteratively Reweighted Least Squares for Maximum Likelihood Estimation, and Some Robust and Resistant Alternatives

1984 • 651 citations

Bayesian “Confidence Intervals” for the Cross-Validated Smoothing Spline

1983 • 609 citations

Some New Mathematical Methods for Variational Objective Analysis Using Splines and Cross Validation

1980 • 558 citations

An optimal selection of regression variables

1981 • 537 citations

Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression

1978 • 535 citations

A Comparison of GCV and GML for Choosing the Smoothing Parameter in the Generalized Spline Smoothing Problem

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Presentations of faithful d.g. near-rings

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On a New Method of Graduation

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Spline Smoothing: The Equivalent Variable Kernel Method

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Non-Parametric Function Fitting

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SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION

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Non-parametric Roughness Penalty for Probability Densities

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Multivariate interpolation at arbitrary points made simple

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Spline Functions in Data Analysis

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Splines As a Useful and Convenient Statistical Tool

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Splines in Statistics

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On the Estimation of a Probability Density Function by the Maximum Penalized Likelihood Method

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Nonparametric Roughness Penalties for Probability Densities

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Inference in Two-Phase Regression

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Algorithm AS 176: Kernel Density Estimation Using the Fast Fourier Transform

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The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing

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Automatic Smoothing of Regression Functions in Generalized Linear Models

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Two graphical displays for outlying and influential observations in regression

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Density Estimation and Bump-Hunting by the Penalized Likelihood Method Exemplified by Scattering and Meteorite Data

1980 • 240 citations

Ridge Regression and James-Stein Estimation: Review and Comments

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Jackknifing in Unbalanced Situations

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Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations

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On the Smoothing of Probability Density Functions

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The Log Likelihood Ratio in Segmented Regression

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Spline Transformations: Three New Diagnostic Aids for the Statistical Data-Analyst

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Asymptotics for $M$-Type Smoothing Splines

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Optimal Convergence Properties of Variable Knot, Kernel, and Orthogonal Series Methods for Density Estimation

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Smoothing Splines: Regression, Derivatives and Deconvolution

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Asymptotic Integrated Mean Square Error Using Least Squares and Bias Minimizing Splines

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A comparison of kriging with nonparametric regression methods

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Propri�t�s de convergence presque compl�te du pr�dicteur � noyau

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Two methods with different objectives: Splines and kriging

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Smoothing and interpolation by kriging and with splines

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A Fast and Efficient Cross-Validation Method for Smoothing Parameter Choice in Spline Regression

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Penalized maximum likelihood estimation in logistic regression and discrimination

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Computing in Statistical Science Through APL

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Cubic Splines as a Special Case of Restricted Least Squares

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Density Ratios, Empirical Likelihood and Cot Death

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Nonlinear Principal Component Analysis

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Linear models for field trials, smoothing and cross-validation

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Approximate regression models and splines

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The hat matrix for smoothing splines

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Sur le choix du param�tre d'ajustement dans le lissage par fonctions spline

1980 • 48 citations

A stochastic framework for recursive computation of spline functions: Part II, smoothing splines

1980 • 46 citations

Iterative Solution of Systems Originating from Integral Equations and Surface Interpolation

1983 • 42 citations

Calibration, Cross-Validation and Carbon-14. I

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Robust Smoothing

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A Bayesian approach to prediction using polynomials

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Trend Surface Analysis and Spatial Correlation

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On the maximal deviation of the kernel regression function estimate

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Multiparameter Univariate Bayesian Analysis

1979 • 22 citations

Hermite series estimates of a probability density and its derivatives

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Robust splines

1977 • 20 citations

On the Smoothness Properties of the Best Linear Unbiased Estimate of a Stochastic Process Observed with Noise

1983 • 18 citations

Identification of trends in annual maximum sea levels using robust locally weighted regression

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Canonical Analysis with B-splines

1982 • 13 citations

Calibration, Cross-Validation and Carbon-14. II

1980 • 12 citations

Multivariate thin plate spline estimates for the posterior probabilities in the classification problem

1983 • 11 citations

Social mobility measures for cross-national comparisons

1985 • 6 citations