salam
matlabi darmorede mafhome tarakome khak mikhastam dar rabete ba reshteye khakshenasi ya hadaghal saiti darin mored
mamnon
خرید لپ تاپ استوک
ماهان سرور
آکوستیک ، فوم شانه تخم مرغی ، پنل صداگیر ، یونولیت
دستگاه جوجه کشی حرفه ای
فروش آنلاین لباس کودک
خرید فالوور ایرانی
خرید فالوور اینستاگرام
خرید ممبر تلگرام
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salam
matlabi darmorede mafhome tarakome khak mikhastam dar rabete ba reshteye khakshenasi ya hadaghal saiti darin mored
mamnon
اگر این عنوان به دردتون می خوره ادرس ایمیل بذارید تا بارتون بفرستم
A robust statistical method to evaluate unit operation in coal washery
A. K. Mukherjee, and S. Chandra
Research and Development Division, Tata Steel, Jamshedpur 831 007, India
Received 29 March 2001; revised 26 November 2001; accepted 15 February 2002. Available online 20 March 2002.
Abstract
The effect of the change of an operating parameter on the washing performance is conventionally evaluated through a direct comparison of the average clean coal yields obtained under normal and trial conditions. Sometimes, in an apparent refinement to the analysis, the clean coal yields are normalized for their ash levels before such a comparison is carried out. This paper illustrates how such simplistic analytical methods can often be misleading and lead to erroneous conclusions.
Another method of analysis involves the comparison of two data sets on the basis of their separation efficiencies. The method is not effective in plant conditions, where the fluctuation of several process variables leads to generation of noisy data.
An alternative, statistically robust method has been proposed, where a simple linear relationships is established between the response variable and the independent variable during a normal and a trial conditions. These two regression lines are then tested for their equality of slopes using analysis of covariance (ANCOVA). The separation between the regression lines, as measured by the difference of their intercepts, quantifies the change in the process performance.
Unlike other methods, this method is the least affected by variables that are not of intrinsic interest and hence is more reliable. This method can be used in a two-stage two-product system and also in a multi-stage multi-product system.
Although the recommended method of analysis is not as efficient as one involving a formal design of experiments using analysis of variance (ANOVA), it is nevertheless of significant practical merit for analysis of plant data or where the design of experiments would be too time consuming or difficult.
Author Keywords: plant trials; data analysis; regression line; comparison; statistical methods
سلام
ممنون مي شم برام ميل بزني
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ايم ميل منه.
ممنونم.
یه تحقیق 30 صفحه ای از جنگ روانی پیدا کنی ممنون می شم
bazam salam
man ye matlabe 2-3 safeyi mikhastam darmorede mafhome tarakome khak vali hanoz peyda nakardin man faghat ta 3shanbe vaght daram
khahesh mikonam sari peyda konin
با شلام خدمت شما !
لطف کنید و فارسی تایپ کنید .
ممنون و موفق باشید ..gif "N Aggressive (26)")
سلام
مطلبی 2-3 صفحه ای در مورد مفهوم تراکم خاک می خواستم
فقط تا سه شنبه وقت دارم
سلام دوست عزیز خسته نباشید.تو را به خدا اگه میشه یه تحقیق درباره برداشت جو به من بدید.خواهشا هر چه سریعتر آخه وقتم خیلی کمه.ممنون
سلام
سلام
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