Wayne A Fuller
Biographic Data
| ID | 5812205 |
|---|---|
| NAME | Wayne A Fuller |
| GIVEN NAMES | Wayne A |
| FAMILY NAME | Fuller |
| SIGNATURE | FULLER W A |
| AFFILIATIONS | Iowa State University |
| ORCID | 0000-0002-5744-6674 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 2004 |
| H-INDEX | 1 |
Regression Estimation in the Presence of Measurement Error
Estimation for Autoregressive Time Series With a Root Near 1
Estimators for the parameters of autoregressive time series are compared, emphasizing processes with a unit root or a root close to 1. The approximate bias of the sum of the autoregressive coefficients is expressed as a function of the test for a unit root. This expression is used to construct an estimator that is nearly unbiased for the parameter of the first-order scalar process. The estimator for the first-order process has a mean squared erro…
A Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions
The distribution of usual intakes of dietary components is important to individuals formulating food policy and to persons designing nutrition education programs. The usual intake of a dietary component for a person is the long-run average of daily intakes of that component for that person. Because it is impossible to directly observe usual intake for an individual, it is necessary to develop an estimator of the distribution of usual intakes base…
A Comparison of Unit-Root Test Criteria
During the past 15 years, the ordinary least squares estimator and the corresponding pivotal statistic have been widely used for testing the unit-root hypothesis in autoregressive processes. Recently, several new criteria, based on maximum likelihood estimators and weighted symmetric estimators, have been proposed. In this article, we describe several different test criteria. Results from a Monte Carlo study that compares the power of the differe…
Taking the University to the People
Measurement Error Models
Regression Estimation of Crop Acreages With Transformed Landsat Data as Auxiliary Variables
Methods are developed for combining data collected by satellite with data collected in an area survey to estimate crop acreages. The basic procedure is that of survey regression estimation. Two methods of transforming the satellite information prior to regression estimation are compared. KEY WORDS: Sample surveyJackknife
Survey Design Under Superpopulation Models
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
Distribution of the Estimators for Autoregressive Time Series With a Unit Root
David A. Dickey, Wayne A. Fuller, Distribution of the Estimators for Autoregressive Time Series With a Unit Root, Journal of the American Statistical Association, Vol. 74, No. 366 (Jun., 1979), pp. 427-431
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Let n observations Y 1, Y 2, ···, Y n be generated by the model Y t = pY t−1 + e t , where Y 0 is a fixed constant and {e t } t-1 n is a sequence of independent normal random variables with mean 0 and variance σ2. Properties of the regression estimator of p are obtained under the assumption that p = ±1. Representations for the limit distributions of the estimator of p and of the regression t test are derived. The estimator of p and the regression…
Of Conservatism and Mysticism, Democracy and Things
Reviews Canadian environmental research of the last decade including the International Biological Program, Man and the Biosphere Program, and the Arctic Land Use Research Program. Discusses the role of the Canadian Arctic Resources Committee and the Berger Inquiry in the proposed development of Canadian Arctic resources
Distribution of the Estimators for Autoregressive Time Series With a Unit Root
David A. Dickey, Wayne A. Fuller, Distribution of the Estimators for Autoregressive Time Series With a Unit Root, Journal of the American Statistical Association, Vol. 74, No. 366 (Jun., 1979), pp. 427-431
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Let n observations Y 1, Y 2, ···, Y n be generated by the model Y t = pY t−1 + e t , where Y 0 is a fixed constant and {e t } t-1 n is a sequence of independent normal random variables with mean 0 and variance σ2. Properties of the regression estimator of p are obtained under the assumption that p = ±1. Representations for the limit distributions of the estimator of p and of the regression t test are derived. The estimator of p and the regression…
Of Conservatism and Mysticism, Democracy and Things
Reviews Canadian environmental research of the last decade including the International Biological Program, Man and the Biosphere Program, and the Arctic Land Use Research Program. Discusses the role of the Canadian Arctic Resources Committee and the Berger Inquiry in the proposed development of Canadian Arctic resources
Survey Design Under Superpopulation Models
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
Measurement Error Models
Regression Estimation of Crop Acreages With Transformed Landsat Data as Auxiliary Variables
Methods are developed for combining data collected by satellite with data collected in an area survey to estimate crop acreages. The basic procedure is that of survey regression estimation. Two methods of transforming the satellite information prior to regression estimation are compared. KEY WORDS: Sample surveyJackknife
Taking the University to the People
A Comparison of Unit-Root Test Criteria
During the past 15 years, the ordinary least squares estimator and the corresponding pivotal statistic have been widely used for testing the unit-root hypothesis in autoregressive processes. Recently, several new criteria, based on maximum likelihood estimators and weighted symmetric estimators, have been proposed. In this article, we describe several different test criteria. Results from a Monte Carlo study that compares the power of the differe…
A Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions
The distribution of usual intakes of dietary components is important to individuals formulating food policy and to persons designing nutrition education programs. The usual intake of a dietary component for a person is the long-run average of daily intakes of that component for that person. Because it is impossible to directly observe usual intake for an individual, it is necessary to develop an estimator of the distribution of usual intakes base…
Estimation for Autoregressive Time Series With a Root Near 1
Estimators for the parameters of autoregressive time series are compared, emphasizing processes with a unit root or a root close to 1. The approximate bias of the sum of the autoregressive coefficients is expressed as a function of the test for a unit root. This expression is used to construct an estimator that is nearly unbiased for the parameter of the first-order scalar process. The estimator for the first-order process has a mean squared erro…
Regression Estimation in the Presence of Measurement Error
Mathematics (9 works) · Statistics (9 works) · Autoregressive model (5 works) · Computer Science (5 works) · Econometrics (5 works) · Estimator (5 works) · Financial Risk and Volatility Modeling (4 works) · Regression analysis (4 works) · Unit root (4 works) · Geology (3 works)