A new method for modelling biological variation using quantile functions

Postharvest Biology and Technology

Volumn 86, Issue , 2013, Pages 387-401

  Jordan, Robert B ^a   Loeffen, Mark P F ^b  

^a THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

^b Waikato Mail Centre ^*  (New Zealand)

Author keywords

Biological age distribution; Dynamic model; Kiwifruit colour; Quantile function; Tomato colour; Variability

Indexed keywords

EID: 84882661856     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.postharvbio.2013.07.008     Document Type: Article

References (27)

1. Blom G. Statistical Estimates and Transformed Beta Variables 1958, Wiley, New York.
2. De Baerdemaeker J., Hertog M., Nicolaï B., De Ketelaere B. Innovative measurements and models for predicting shelf life of fresh foods during postharvest. International Journal of Postharvest Technology and Innovation 2006, 1(1):32-47.
3. De Ketelaere B., Lammertyn J., Molenberghs G., Nicolaï B., De Baerdemaeker J. Statistical models for analysing repeated quality measurements of horticultural products. Model evaluations and practical example. Mathematical Biosciences 2003, 185(2):169-189.
4. De Ketelaere B., Stulens J., Lammertyn J., Cuong N.V., De Baerdemaeker J. A methodological approach for the identification and quantification of sources of biological variance in postharvest research. Model evaluations and practical example. Postharvest Biology and Technology 2006, 39:1-9.
5. De Silva H.N., Hall A.J., Burdon J., Lallu N., Connolly P., Amos N. Modelling the Effect of Holding Temperature on Flesh De-Greening of 'Hort16A' (ZESPRI™ GOLD) Kiwifruit. Acta Horticulturae 2007, 753. ISHS 2007.
6. Fearn T. Comparing standard deviations. NIR News 1996, 7(5):5-6.
7. Galili N., Shulevich N., Benechou N. Acoustic testing of Avocado for fruit ripeness evaluation. Transactions of the ASAE 1998, 41(2):399-407.
8. Gilchrist W.G. Statistical Modelling with Quantile Functions 2000, Chapman and Hall/CRD, Florida, USA.
9. Hertog M.L.A.T.M. The impact of biological variation on postharvest population dynamics. Postharvest Biology and Technology 2002, 26:253-263.
10. Hertog M.L.A.T.M. Quality change modelling in postharvest biology and technology 2004, Katholieke Universiteit Leuven, Faculteit Bio-ingenieurswetenschappen, (PhD Thesis).
11. Hertog M.L.A.T.M., Lammertyn J., Desmet M., Scheerlinck N., Nicolaï B.M. The impact of biological variation on postharvest behaviour of tomato fruit: the case of dynamic temperature conditions. Postharvest Biology and Technology 2004, 34:271-284.
12. Hertog M.L.A.T.M., Lammertyn J., Scheerlinck N., Nicolaï B.M. The impact of biological variation on postharvest behaviour: the case of multiple stochastic variables. Postharvest Biology and Technology 2007, 43:78-88.
13. Hertog M.L.A.T.M., Lammertyn J., Scheerlinck N., Nicolaï B.M. The impact of biological variation on postharvest behaviour: the case of dynamic temperature conditions. Postharvest Biology and Technology 2007, 43:183-192.
14. Hertog M.L.A.T.M., Scheerlinck N., Nicolaï B.M. Monte Carlo evaluation of biological variation: random generation of correlated non-Gaussian model parameters. Journal of Computational and Applied Mathematics 2009, 223:1-14.
15. Minchin P.E.H., De Silva N., Snelgar W.P., Richardson A.C., Thorp T.G. Modelling of colour development in the fruit of Actinidia chinensis 'Hort16A'. New Zealand Journal of Crop and Horticultural Science 2003, 31(1):41-53.
16. Nauta M.J. Separation of uncertainty and variability in quantitative microbial risk models. International Journal of Food Microbiology 2000, 57:9-18.
17. Parrish R.S. Computing expected values of Normal order statistics. Communications in Statistics - Simulation and Computation 1992, 21(1):57-70.
18. Parzen E. Quantile probability and statistical data modelling. Statistical Science 2004, 19(4):652-662.
19. Schouten R.E., Jongbloed G., Tijskens L.M.M., van Kooten O. Batch variability and cultivar keeping quality of cucumber. Postharvest Biology and Technology 2004, 32:299-310.
20. Schouten R.E., Otma E.C., van Kooten O., Tijskens L.M.M. Keeping quality of cucumber fruits predicted by biological age. Postharvest Biology and Technology 1997, 12:175-181.
21. Snelgar B., Hall A., De Silva N., Stevens I., Keesing R. Smart monitoring of fruit growth. New Zealand Kiwifruit Journal 2008, 186:12-13.
22. Tarsitano A. Comparing estimation methods for the FPLD. Journal of Probability and Statistics 2010, V2010: article ID 295042, 16 pp.
23. Thai C.N., Shewfelt R.L., Garner J.C. Tomato changes under constant and variable storage temperatures: empirical models. Transactions of the ASAE 1990, 33(2):607-614.
24. Tijskens L.M.M., Konopacki P. Biological variance in agricultural products theoretical considerations. Acta Horticulturae 2003, 600:661-669.
25. Tijskens L.M.M., Konopacki P., Simčič M. Biological variance, burden or benefit?. Postharvest Biology and Technology 2003, 27:15-25.
26. Tijskens L.M.M., Konopacki P.J., Schouten R.E., Hribar J., Simčič M. Biological variance in the colour of Granny Smith apples: modelling the effect of senescence and chilling injury. Postharvest Biology and Technology 2008, 50:153-163.
27. Tijskens L.M.M., Heuvelink E., Schouten R.E., Lana M.M., van Kooten O. The biological shift factor: biological age as a tool for modelling in pre- and postharvest horticulture. Acta Horticulturae 2004, 68:39-46.