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Stochastic fertilizer production functions for continuous corn

Fuller, Wayne A. - In: Journal of farm economics 47 (1965) 1, pp. 105-119

Persistent link: https://www.econbiz.de/10002179143

The use of indicator variables in computing predictions

Fuller, Wayne A. - In: Journal of econometrics 12 (1980) 2, pp. 231-243

Persistent link: https://www.econbiz.de/10002179146

Small area estimation as a measurement error problem

Fuller, Wayne A. - In: Economic models, estimation, and socioeconomic systems …, (pp. 333-359). 1991

Persistent link: https://www.econbiz.de/10001312263

Estimation for the nonlinear errors-in-variables model

Fuller, Wayne A. - In: Econometrics in theory and practice : Festschrift for …, (pp. 15-21). 1998

Persistent link: https://www.econbiz.de/10001301460

Introduction to statistical time series

Fuller, Wayne A. - 1996 - 2. ed.

Persistent link: https://www.econbiz.de/10004258746

Introduction to statistical time series

Fuller, Wayne A. - 1976

Persistent link: https://www.econbiz.de/10013490114

Measurement error models

Fuller, Wayne A. - 1987

Persistent link: https://www.econbiz.de/10009585846

Sampling, data collection, and estimation in agricultural surveys

Nusser, Sarah M.; House, Carol C. - 2009

Persistent link: https://www.econbiz.de/10003878984

Estimating Minutes of Physical Activity from the Previous Day Physical Activity Recall: Validation of a Prediction Equation.

Tucker, Jared M.; Welk, Gregory J.; Nusser, Sarah M.; … - Mathematica Policy Research - 2011

In this study, school children wore a validated accelerometer and completed the Previous Day Physical Activity Recall for three consecutive days. When applied to the holdout sample, an algorithm of predicted minutes of moderate to vigorous physical activity showed good agreement with the actual...

Persistent link: https://www.econbiz.de/10010609854

Applications and Case Studies - Comment - Latent Class Analysis of Complex Sample Survey Data: Application to Dietary Data

Carriquiry, Alicia L.; Nusser, Sarah M. - In: Journal of the American Statistical Association : JASA 97 (2002) 459, pp. 729-731

Persistent link: https://www.econbiz.de/10006615694