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Improved Differentially Private Analysis of Variance

References [1] David J Balding. A tutorial on statistical methods for population association studies. Nature Reviews Genetics , 7(10):781, 2006. [2] Andrés F Barrientos, Jerome P Reiter, Ashwin Machanavajjhala, and Yan Chen. Differentially private significance tests for regression coefficients. arXiv preprint arXiv:1705.09561 , 2017. [3] Zachary Campbell, Andrew Bray, Anna M. Ritz, and Adam Groce. Differentially private anova testing. 1st International Conference on Data Intelligence and Security (ICDIS) , pages 281–285, 2018. [4

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Experimental Investigation of Drilling Small Hole on Duplex Stainless Steel (SS 2205) Using EDM

ANOVA for MRR, and regression equation is given in Eq. (1) . Table 4 ANOVA table for metal removal rate Source Sum of squares df Mean square F -value p -value Prob > F Model 5,057.992 3 1,685.997 6.604782 0.0343 Current 2,691.554 1 2,691.554 10.54398 0.0228 Spark gap 122.5295 1 122.5295 0.480001 0.5193 Dielectric pressure 2,243.909 1 2,243.909 8.790364 0.0313 Residual 1,276.346 5 255.2692 Correlation total 6,334.337 8 From Table 4

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Influence of Cutting Environment on Tool Life

, COFIN, ISBN 978-80-553-0152-5. 5. DOHNAL, L., 1999. Analýza variantnosti – ANOVA. ( Analysis of Variance - ANOVA .) [online]. [2014-03-16]. http://www1.lf1.cuni.cz/~ldohna/publik/Kap_7_ANOVA.pdf . 6. RIMANČÍK, M., 2007. Štatistika v praxi. ( Statistic for prax .) [Online]. [2014-03-15]. http://rimarcik.com/publikacie.html . 7. BOX, G. E. P., HUNTER, W. G., HUNTER, S. J., 1978. An Introduction to Desing, Data Analysis and Model Building . Statistics for Experimenters. New York: John Wiley & Sons.

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Intra and Interzone Differences of Attack and Counterattack Efficiency in Elite Male Volleyball

in the attack and counterattack from observed zones were estimated. Factorial 2×5 between-subjects ANOVA was used to assess the main and interaction effects of the Outcome (Winner vs. Defeated) and Zone (4, 3, 2, 1, & 6) on attack and counterattack efficiency. Partial eta-squared (η 2 ) was used for the effect size assessment. Additionally, the post hoc Bonferroni correction was applied. All data were processed using the Statistica 12.0 (StatSoft, Tulsa, OK, USA) software package. Type I error was set at α = 0.05. Results Reliability analysis was

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Linear Mixed Models: Gum and Beyond

of aerosol nanoparticles. Measurement Sience and Technology, 22, 024009. [4] Lee, J., Yang, J., Yang, S., Kwak, J. (2007). Uncertainty analysis and ANOVA for the measurement reliability estimation of altitude engine test. Journal of Mechanical Science and Technology, 21 (4), 664-671. [5] Wang, D.Y., Lin, K.-H., Lo Huang, M.-N. (2002). Variability studies on EMI data for electronic, telecommunication and information technology equipment. IEEE Transactions on Electromagnetic Compatibility, 44 (2), 385-393. [6] Toman, B

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Turning operation of AISI 4340 steel in flooded, near-dry and dry conditions: a comparative study on tool-work interface temperature

of 350 m/min and with a constant feed rate of 0.15 mm/rev when machining steel AISI 4340 under flooded, near-dry and dry conditions. It was observed from Figure 11 that the tool-work interface temperature value increased with an increase in the depth of cut for all the three machining conditions. Figure 11 Effect of depth of cut on tool-work interface temperature 5.2 Analysis of Variance (ANOVA) The most significant factor on the response output was analysed using the analysis of variance (ANOVA) and F-test with a probability of p = 0

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Optimization of the Process Parameters of Resistance Spot Welding of AISI 316l Sheets Using Taguchi Method

9 461 53.274 4 Analysis of Variance (ANOVA) and Discussion The analysis of variance (ANOVA) of raw data and S/N data were performed to identify the significant parameters and to quantify their effect on the response characteristics. In the analysis, the sum of squares and variance were calculated. F-test value at 95% confidence level was used to decide the significant factors affecting the process, and the percentage contribution was calculated. Larger F-value indicates that the variation of the process parameter makes a big change on the

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The Stability of Wedm

Abstract

This paper is focused on the effect of generator’s parameters on the stability of WEDM process that is expressed by the length of time of cutting until the wire electrode breaks. This paper provides an overview of the current research articles dealing with the causes of the wire electrode’s rupture and the options of control and regulation of the process. The aim was to clarify the impact of input parameters to the cutting process, and to find those parameters making the process as fast as possible and stable. The experiment was performed on the machine of Agie Charmilles Robofil 310. As input factors were selected pulse width, time between two pulses, servo voltage, pulse current, short pulse time and frequency. Due to the fact that it is necessary to assess the impact of several input parameters, Taguchi experimental design was selected. L27 matrix was used. The Analysis of Variance (ANOVA) was used for evaluation.

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Supply chain management in SMEs: evidence from Poland and Kazakhstan

Abstract

The research aimed to assess Supply Chain Management (SCM) in small and medium enterprises in Kazakhstan and Poland, and, more specifically, identify similarities and differences in the approach to the SCM concept in selected countries. The research methodology was based on ANOVA analysis comparing samples of contemporary SMEs operating in Poland and Kazakhstan. Primary data was collected using the CAWI quantitative method and then studied using the ANOVA statistical data analysis method. The research results demonstrated similar involvement in the implementation of the concept with significant differences in some areas, such as cost reduction and focus on end customers. The concept of Supply Chain Management is a very common subject of theoretical and practical analysis. Even though research efforts in this area indicate the positive effects of the implemented concept, most of them concern large organisations. The research results showed similar involvement in the implementation of the concept, although significant differences were found in selected areas, such as cost reduction and focus on end customers.

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Parametric Optimization of Coal Desulfurization Through Alkaline Leaching

Abstract

Desulfurization of Pakistani coal has been carried out through alkaline leaching. During present experimental investigation, the effect of operating parameters like alkali concentration, time, temperature and particle size has also been analyzed, graphically represented and critically discussed. Parametric optimization of leaching process has been carried out by using response surface methodology (RSM) based on central composite design (CCD). The analysis of variance (ANOVA) was performed in order to assess the highest level interactions of variables and three way interactions were observed signifi cant. Further, the optimum value of total sulfur removal was observed as 53% when the operatic conditions fi xed at 10% W/V, 60 min, 80oC and 140 mesh for alkaline concentration, leaching time, temperature and particle size, respectively.

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