Browsing by Author "Mendes, Mehmet"

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A Study on the Effects of Wood Vinegar on Weeds and Cultivated Plants in the Wheat Agro-Ecosystems
(Parlar Scientific Publications (p S P), 2019) Koc, Ibrahim; Namli, Ayten; Mendes, Mehmet; Pinar, Suleyman Mesut; Cig, Fatih; Yardim, Erdal Necip
This study was conducted to determine the effects on the weeds and cultivated plants in the wheat agro-ecosystems of the wood vinegar in the biopesticide potential obtained from hazelnut shells on certain growth and yield parameters. The study was conducted based on the Randomized Blocks Testing Design with repeated four times. In the experiment, treatments of 0.5%, 1.0%, 2.0%, 3.0%, 4.0%, and 5.0% mL doses of wood vinegar were administered, and only tap water was given to the control group. It was found that the 4% mL dose had positive effects on cultivated plant height and that the 1% mL dose had positive effects on thousand kernel weight and seed per spike compared with the control. It was seen that its effect on weeds dry weight is changed according to the years (P=0.011). In 2015-2016, it was found that 3% mL increased and 0.5%, 1% and %5 mL decreased the weight of dry grass. In the test field; weeds determination is made from 12 families. In 2014-2015, Polygonum bellardii, Eremopoa altaica and Microthlaspi perfoliatum; and in 2015-2016, Eremopoa altaica, Erodium absinthoides, Lactuca serriola and Polygonum bellardii was seen most.
Type I Error Rates and Test Power for Some Outlier Detecting Tests
(Pushpa Publishing House, 2011) Yigit, Soner; Mendes, Mehmet; Mirtagioglu, Hamit
This study is conducted to compare some outlier detection tests such as Grubbs, Dixon, Chauvenet criterion and Weisberg t-test with respect to Type I error rate and test power. For this purpose, random numbers from normal population are generated by Monte Carlo simulation technique. Results of 50,000 simulation trials showed that the Weisberg t-test gave the most reliable results with respect to the others. Chauvenet criterion has followed this test. Dixon and Grubbs tests have not displayed reliable results except for studying with small sample sizes. As a result, regardless of the sample size being studied, Weisberg t-test should be used as detecting whether there is an outlier in the data set or not.