Journal of Dairy Science
Volume 90, Issue 12 , Pages 5395-5404 , December 2007

Optimal Sampling Schedule of Diet Components: Model Robustness to Departure from Assumptions1

Received 5 November 2006 ,Accepted 31 August 2007.

References 

  1. Blackwell SD, Glefson LJ, Lunt RA, Chamnpood C. Use of combined Shewhart-CUSUM control charts in internal quality control of enzyme-linked immunosorbent assays for typing of foot and mouth disease virus-antigen. Rev. -Off. Int. Epizoot. 1994;13:687–699
  2. Cook DF, Massey JG, McKinney C. A knowledge-based approach to statistical process control. Comput. Electron. Agric. 1992;7:13–22
  3. De Groot MH. Optimal Statistical Decision. New York, NY: McGraw-Hill; 1970;
  4. Drain D. Statistical Methods for Industrial Process Control. New York, NY: Chapman and Hall; 1997;
  5. Fadel JG, Johnson HA, Robinson PH. Impact of variation in diet nutrient inputs on model output prediction. J. Dairy Sci. 2006;89(Suppl. 1):383;(Abstr.)
  6. Fishman GS. Principles of Discrete Event Simulation. New York, NY: John Wiley & Sons; 1978;
  7. Ishikawa K. Guide to Quality Control. Tokyo, Japan: Asian Productivity Organization; 1976;
  8. Knappenberger HA, Grandage AH. Minimum cost quality control tests. AIIE Trans. 1969;1:24–32
  9. Kohn RA. How can dairy nutrition models deal with uncertainty?. J. Dairy Sci. 2006;89(Suppl. 1):382;(Abstr.)
  10. Lorenzen TJ, Vance LC. The economic design of control charts: A unified approach. Technometrics. 1986;28:3–10
  11. Lucas JM. Combined Shewhart-CUSUM quality control schemes. J. Qual. Tech. 1982;14:51–59
  12. Mertens DR. Quantifying assay variation in nutrient analysis of feedstuffs. J. Dairy Sci. 2006;89(Suppl. 1):383;(Abstr.)
  13. NRC. Nutrient Requirements of Dairy Cattle. 7th rev. ed.. Washington, DC: Natl. Acad. Sci; 2001;
  14. Parzen EP. Stochastic Processes. Philadelphia, PA: Society for Industrial and Applied Mathematics; 1999;
  15. Reynolds MR, Stoumbos ZG. Should exponentially weighted moving average and cumulative sum charts be used with Shewhart limits?. Technometrics. 2005;47:409–424
  16. Ryan TP. Statistical Methods for Quality Improvement. 2nd ed.. New York, NY: Wiley; 2000;
  17. Shewhart WA. Economic Control of Quality of Manufactured Products. New York, NY: Van Nostrand; 1931;
  18. St-Pierre NR, Cobanov B. A model to determine the optimal sampling schedule of diet components. J. Dairy Sci. 2007;90:5383–5394
  19. St-Pierre NR, Harvey WR. Uncertainty in composition of ingredients and optimal rate of success for a maximum profit total mixed ration. J. Dairy Sci. 1986;69:3075–3089
  20. St-Pierre NR, Thraen CS. Animal grouping strategies, sources of variation, and economic factors affecting nutrient balance on dairy farms. J. Anim. Sci. 1999;77(Suppl. 2):72–83
  21. St-Pierre NR, Weiss WP. Managing feedstuff variation in nutritional practice. J. Dairy Sci. 2006;89(Suppl 1):383;(Abstr.)
  22. Tozer PR. Least-cost ration formulations for Holstein dairy heifers by using linear and stochastic programming. J. Dairy Sci. 2000;83:443–451
  23. Westgard JO, Groth T, Aronson T, de Verdier C. Combined Shewhart-CUSUM control charts from improved quality control in clinical chemistry. Clin. Chem. 1977;23:1881–1887
  24. Yashin E. Statistical control schemes: Methods, applications and generalizations. Int. Stat. Rev. 1993;61:41–66

PII: S0022-0302(07)72012-X

doi: 10.3168/jds.2006-728

Journal of Dairy Science
Volume 90, Issue 12 , Pages 5395-5404 , December 2007

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