Investigating T-joint strength parameters using statistical experimental design and analysis techniques

2016 ◽  
pp. 569-574
Author(s):  
L Sutherland ◽  
C Soares
Keyword(s):  
Experimental Design ◽  
Joint Strength ◽  
Statistical Experimental Design ◽  
Strength Parameters ◽  
Analysis Techniques

scholarly journals Pengaruh Adverse Selection dan Negative Framing pada Kecenderungan Eskalasi Komitmen

2017 ◽  
pp. 1
Author(s):  
Ari Puspa Sari ◽  
Gede Wira Kusuma
Keyword(s):  
Experimental Design ◽  
Factorial Design ◽  
Adverse Selection ◽  
Investment Project ◽  
Sampling Technique ◽  
Framing Effect ◽  
Escalation Of Commitment ◽  
Anova Analysis ◽  
Analysis Techniques ◽  
Management Students

Escalation of commitment is a decision to increase or expand the commitment to a project or a particular investment even though the investment project or indicate failure. This research has the objective to obtain empirical evidence of the effect of adverse selection and negative framing effect on the escalation of commitment tendency. Experimental design used of this research is 2 x 2 factorial design with the instrument in the form of cases. Participants in this research were Magister ofAccounting and Magister of Management students, as a proxy manager chosen by purposive sampling technique as much as 196 participants. This research uses of two ways ANOVA analysis techniques. This research proves that adverse selection and negative framing have an influence on the propensity of escalation of commitment.

A Statistical Experimental Design to Plastein Synthesis with the Mixture of Soy Protein Isolate(SPI) Hydrolysate and Whey Protein Isolate(WPI) Hydrolysate

2011 ◽  
Vol 236-238 ◽  
pp. 2773-2779
Author(s):  
Ying Cao Xu ◽  
Zhi Biao Feng ◽  
Chun Hong Liu
Keyword(s):  
Experimental Design ◽  
Whey Protein ◽  
Soy Protein ◽  
Soy Protein Isolate ◽  
Whey Protein Isolate ◽  
Protein Isolate ◽  
Statistical Experimental Design ◽  
Operating Variables ◽  
Enzyme Substrate ◽  
Predicted Values

A statistical experimental design to plastein synthesis which was catalyzed by transglutaminase, using the mixture of soy protein isolate(SPI) hydrolysate and whey protein isolate (WPI) hydrolysate, was investigated. Enzyme/Substrate(E/S:5-25U/g), pH(5-9) and temperature (35-65°C) were selected as major operating variables. To investigate the effects of variables to yield of plastein, the statistical experiment of Box-Behnken design(BBD) and Response Surface methodology(RSM) was employed. Regression analysis showed that the experiment data accorded with the predicted values obtained from quadratic regression equation in BBD with R-Squared of 0.9866 and F-value of 102.51. The optimum results estimated by BBD were as follows: E/S(19.5U/g), pH(6.8), and temperature(50.0°C), gave a maximum plastein yield of 54%. In the present experiment, the preliminary study on plastein functions such as foaming, emulsifying, were showed that plastein had a good biological function.

Chitinase Production in Solid-State Fermentation by Enterobacter sp. NRG4 Using Statistical Experimental Design

2005 ◽  
Vol 51 (4) ◽  
pp. 222-228 ◽  
Author(s):  
Neetu Dahiya ◽  
Rupinder Tewari ◽  
Ram Prakash Tiwari ◽  
Gurinder Singh Hoondal
Keyword(s):  
Solid State ◽  
Experimental Design ◽  
Solid State Fermentation ◽  
Statistical Experimental Design ◽  
Chitinase Production

Statistical Experimental Design: BOD Tests

1971 ◽  
Vol 97 (4) ◽  
pp. 393-407
Author(s):  
Paul M. Berthouex ◽  
William G. Hunter
Keyword(s):  
Experimental Design ◽  
Statistical Experimental Design

Application of Statistical Experimental Design for Optimization of Novel α-amylase Production by Anoxybacillus Species

2013 ◽  
Vol 13 (7) ◽  
pp. 605-613 ◽  
Author(s):  
Kavitha Muniandy ◽  
Ummirul Mukminin Kahar ◽  
Chun Shiong Chong ◽  
Yen Yen Chai ◽  
Poh Hong Goh ◽  
...  
Keyword(s):  
Experimental Design ◽  
Statistical Experimental Design ◽  
Amylase Production
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