An investigation of tests for linearity and the accuracy of likelihood based inference using random fields

STATISTICS FOR SPATIAL DATA

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Statistics for Spatial Data

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Statistics for Spatial Data.

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Spline Models for Observational Data.

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Spline Models for Observational Data

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Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models

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Statistics for Spatial Data, Revised Edition.

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Nonparametric Regression and Generalized Linear Models

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Time Series Analysis by State Space Methods

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Threshold Models in Non-linear Time Series Analysis

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Modelling Nonlinear Economic Relationships

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Modelling Nonlinear Economic Relationships

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Some results on Tchebycheffian spline functions

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Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach.

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Forecasting Economic Time Series

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Forecasting Economic Time Series

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Best Linear Unbiased Prediction in the Generalized Linear Regression Model

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Nonparametric regression using Bayesian variable selection

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An Introduction to the Theory of Stationary Random Functions

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

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An Introduction to the Theory of Stationary Random Functions.

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Inference and Asymptotics

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Testing for neglected nonlinearity in time series models

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An Introduction to Bilinear Time Series Models

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A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series

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Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model

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Inference and Asymptotics

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POWER OF THE NEURAL NETWORK LINEARITY TEST

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A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks

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A Tukey nonadditivity-type test for time series nonlinearity

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An Introduction to Bilinear Time Series Models.

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The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing

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Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models

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On the Problem of Permissible Covariance and Variogram Models

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A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks

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Testing for Neglected Nonlinearity in Time Series Models: A Comparison of Neural Network Methods and Alternative Tests

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A Parametric Approach to Flexible Nonlinear Inference

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Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method

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Untitled

2001 • 176 citations

A DIAGNOSTIC TEST FOR NONLINEAR SERIAL DEPENDENCE IN TIME SERIES FITTING ERRORS

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Testing the (Parametric) Null Model Hypothesis in (Semiparametric) Partial and Generalized Spline Models

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Signal extraction and the formulation of unobserved components models

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The Computation of Generalized Cross-Validation Functions Through Householder Tridiagonalization with Applications to the Fitting of Interaction Spline Models

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The Performance of Cross-Validation and Maximum Likelihood Estimators of Spline Smoothing Parameters

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On tests for non‐linearity in time series analysis

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A smoothing spline based test of model adequacy in polynomial regression

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Potential problems in estimating bilinear time-series models

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