Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/modeling-swine-population-dynamics-at-a-finer-temporal-resolution-Fzg3oxc5W3
References (17)
-
Hyeon-Suk Park, K. Spann, N. Whitley, Sang-Hyon Oh (2017)
Comparison of growth performance of Berkshire purebreds and crossbreds sired by Hereford and Tamworth breeds raised in alternative production systemAsian-Australasian Journal of Animal Sciences, 30
-
Adityanand Guntuboyina, Donovan Lieu, S. Chatterjee, B. Sen (2017)
Adaptive risk bounds in univariate total variation denoising and trend filteringThe Annals of Statistics
-
Eduardo Liz, P. Pilarczyk (2012)
Global dynamics in a stage-structured discrete-time population model with harvesting.Journal of theoretical biology, 297
-
R. Tibshirani (1996)
Regression Shrinkage and Selection via the LassoJournal of the royal statistical society series b-methodological, 58
-
T. Bridges, L. Turner, E. Smith, T. Stahly, O. Loewer (1986)
A mathematical procedure for estimating animal growth and body compositionTransactions of the ASABE, 29
-
Rob Hyndman, A. Koehler (2006)
Another look at measures of forecast accuracyInternational Journal of Forecasting, 22
-
J. Hoef (2012)
Who Invented the Delta Method?The American Statistician, 66
-
R. Byrd, P. Lu, J. Nocedal, C. Zhu (1995)
A Limited Memory Algorithm for Bound Constrained OptimizationSIAM J. Sci. Comput., 16
-
N. Key, W. McBride (2007)
The Changing Economics of U.S. Hog ProductionAgricultural & Natural Resource Economics
-
A. Dempster, N. Laird, D. Rubin (1977)
Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper -
Hansheng Wang, Guodong Li, Chih-Ling Tsai (2007)
Regression coefficient and autoregressive order shrinkage and selection via the lassoJournal of the Royal Statistical Society: Series B (Statistical Methodology), 69
-
Hyeon-Suk Park, Sang-Hyon Oh (2016)
Seasonal variation in growth of Berkshire pigs in alternative production systemsAsian-Australasian Journal of Animal Sciences, 30
-
Joshua Cape, M. Tang, C. Priebe (2018)
Signal‐plus‐noise matrix models: eigenvector deviations and fluctuationsBiometrika, 106
-
Sylvain Arlot, Alain Celisse (2009)
A survey of cross-validation procedures for model selectionStatistics Surveys, 4
-
Jianqing Fan, Weichen Wang, Yiqiao Zhong (2016)
Robust Covariance Estimation for Approximate Factor Models.Journal of econometrics, 208 1
-
P. Eilers, B. Marx (1996)
Flexible smoothing with B-splines and penaltiesStatistical Science, 11
-
J. Pollard (1966)
On the use of the direct matrix product in analysing certain stochastic population modelsBiometrika, 53
- Publisher
- Wiley
- Copyright
- © 2020 John Wiley & Sons, Ltd.
- ISSN
- 1524-1904
- eISSN
- 1526-4025
- DOI
- 10.1002/asmb.2597
- Publisher site
- See Article on Publisher Site
Abstract
The United States Department of Agriculture's National Agricultural Statistics Service (NASS) uses probability surveys of hog owners to estimate quarterly hog inventories in the United States at the national and state levels. NASS also receives data from external sources. A panel of commodity experts forms the Agricultural Statistics Board (ASB). The ASB establishes the NASS official estimates for each quarter by taking into account survey estimates and other relevant sources of information that are available in numerical and non‐numerical form. The aim of this article is to propose an estimation method of hog inventories by combining the NASS proprietary survey results, the hog transaction data, the past ASB panel expert analyses, biological dynamics, and the inter‐inventory relationship constraints. This approach downscales the official estimates to provide monthly estimates according to well‐defined biological growth patterns. The model developed in this study provides national estimates that may inform the quarterly reports.
Journal
Applied Stochastic Models in Business and Industry – Wiley
Published: Nov 1, 2020
Keywords: ; ; ;