New approach to border line evaluations for whole sample of Williams pear (Pyrus communis)

Dedović, Nebojša; Matić-Kekić, Sneana; Ponjičan, Ondrej; Karadić, Branislav

doi:10.1016/j.compag.2011.08.003

Cited by 9 publications

(3 citation statements)

References 28 publications

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“…Example 2.1. In [2,7], it was necessary to identify the function which would approximate border line of an average Williams pear as precisely as possible, because it was further used for the calculation of pear surface area and volume. Consequently, 6th order polynomial function y 1 (x) = 6 k=0 a k x k was chosen.…”

Section: Resultsmentioning

confidence: 99%

Nonsensical Excel and Statistica Default Output and Algorithm for an Adequate Display

Matic-Kekic,

Dedovic,

Mutavdzic

2013

Preprint

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The purpose of this paper is to present an algorithm that determines the necessary and sufficient number of significant digits in the coefficients of polynomial trend in order to achieve a pre-specified precision of polynomial trend. Thus, the obtained coefficients should be presented in the default output when fitting the experimental data by polynomial trend. Namely, in order to find the best fitting function for certain type of data there is a real possibility of making significant errors using default output of Excel 2003Excel , 2007Excel , 2010Excel , 2013 and Statistica for Windows 2007-2012 software packages. Conversely, software package Mathematica (version 6) has shown very good characteristics in dealing with precision problems, although the default output sometimes shows more significant digits than necessary. Also, it turned out that the software packages Excel and Statistica violated the order of operations as defined in mathematics. For example, −1 2 = 1 and −(−3) 2 = 9. This problem always occurs in Excel, while at Statistica during the graphical interpretation of a function.

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Section: Resultsmentioning

confidence: 99%

Nonsensical Excel and Statistica Default Output and Algorithm for an Adequate Display

Matic-Kekic,

Dedovic,

Mutavdzic

2013

Preprint

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“…Mathematical operations and graphs of the functions were performed with Mathematica 6 (Wolfram 1991), while statistical analysis was performed with Statistica 10. Th ese soft ware packages have been very useful in many other agriculturerelated papers (Babić et al 2011(Babić et al , 2012Dedović et al 2011;Tomic et al 2011;Zorić et al 2011).…”

Section: Discussionmentioning

confidence: 99%

Cytokine associated neopterin response of peripheral blood mononuclear cells to in vitro Epstein–Barr virus transformation process of B lymphocytes

Simikić

Dedović²,

Savin³

et al. 2013

Turk J Med Sci

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Power delivery effi ciency shows how much engine power is used for a tractor drawbar. Eccentric traction is a factor infl uencing the power delivery effi ciency of a wheeled tractor. It occurs as a consequence of the off set position of a tractor implement, that is, when the traction line of the tractor and resistance line of the implement are parallel and do not coincide. Th is paper presents research on the power delivery effi ciency of wheeled tractors and its dependence on wheel slippage of central and eccentric drawbar forces on unplowed and plowed stubble. For this purpose, mathematical models and one algorithm were developed. Th e best power delivery effi ciency of the tractor on both unplowed and plowed stubble surfaces was obtained with central drawbar force. Power delivery effi ciency of the tractor on unplowed stubble decreased by 5.72% if eccentricity increased up to 0.16 m and by 12.33% if eccentricity increased up to 0.32 m. Power delivery effi ciency of the tractor on plowed stubble decreased by 8.88% if eccentricity increased up to 0.16 m and decreased by 19.05% if eccentricity increased up to 0.32 m.

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“…All figures in this study, which are obtained by mathematical models, are processed in the package Mathematica 6, which is, as well as package Statistica 10, very applicable in the various problems related to agriculture [25][26][27][28].…”

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confidence: 99%

Efficiency of Small Scale Manually Fed Boilers —Mathematical Models

et al. 2012

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This study reviews test results for a biomass-fired hot water boiler with a nominal boiler thermal power of 120 kW. In the experiments, prismatic wheat straw bales were used as biomass. The impact of the quantity (220, 290, 360 and 430 m 3 h −1 ) of inlet air fed to the boiler firebox was continuously monitored. This was to examine the influence of the quantity of inlet air and recirculation (0, 16.5 and 33%) of combustion products on the boiler thermal power and boiler energy efficiency. Thus, the following mathematical models and formulas were presented: correlation between boiler thermal power and bale residence time; bale mass loss during the combustion process; correlation between boiler energy efficiency and bale residence time. Mathematical models were obtained by using experimental data and by applying nonlinear regression analysis. Adjustment evaluation of mathematical models with experimental data was performed based on the determination coefficient, t-test and F-test. Increase the amount of air throughout the firebox produced boiler thermal power increase and bale residence time decrease. It was shown that combustion products recirculation of 16.5% partly improved boiler characteristics, while the recirculation of 33% did not, comparing with the case without recirculation.

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New approach to border line evaluations for whole sample of Williams pear (Pyrus communis)

Cited by 9 publications

References 28 publications

Nonsensical Excel and Statistica Default Output and Algorithm for an Adequate Display

Nonsensical Excel and Statistica Default Output and Algorithm for an Adequate Display

Cytokine associated neopterin response of peripheral blood mononuclear cells to in vitro Epstein–Barr virus transformation process of B lymphocytes

Efficiency of Small Scale Manually Fed Boilers —Mathematical Models

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