نتایج جستجو برای: linear regression against temperature variation six models tooth shape

تعداد نتایج: 3074909  

ژورنال: اندیشه آماری 2018

‎One of the factors affecting the statistical analysis of the data is the presence of outliers‎. ‎The methods which are not affected by the outliers are called robust methods‎. ‎Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers‎. ‎Besides outliers‎, ‎the linear dependency of regressor variables‎, ‎which is called multicollinearity...

Journal: :Statistics & Probability Letters 2018

Journal: :Probability Theory and Related Fields 2006

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز 0

a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...

Journal: :Journal of the Royal Society, Interface 2014
S B Crofts A P Summers

Organisms that are durophagous, hard prey consumers, have a diversity of tooth forms. To determine why we see this variation, we tested whether some tooth forms break shells better than others. We measured the force needed with three series of aluminium tooth models, which varied in concavity and the morphology of a stress concentrating cusp, to break a shell. We created functionally identical ...

Journal: :مهندسی بیوسیستم ایران 0
سیده شادی میرزمانی علیرضا بصیری آرزو اصفهانی

in this research, moisture sorptions of sayer date were determined at 20, 30, 40 and 60°c, using the standard static gravimetric method developed by the european cooperation project cost 90. several mathematical models, namely gab, bet, iglesias & chirif and halsey were employed to fit the experimental data through non-linear regression. results indicate that equilibrium moisture content increa...

Journal: :international journal of environmental research 2010
v. eyupoglu b. eren e. dogan

artificial neural networks (anns) are computer techniques that attempt to simulate the functionality and decision-making processes of the human brain. in the past few decades, artificial neural networks (anns) have been extensively used in a wide range of engineering applications. there are only a few applications in liquid membrane process. the objective of this research was to develop artific...

1996
T. M

A proximate, biophysical model is proposed describing temperature-modulated variation in growth rate and differentiation rate in ectotherms, based upon the Sharpe–Schoolfield equation connecting enzyme kinetics and biological rates. Like the Sharpe-Schoolfield equation, the model assumes (1) that growth rate and differentiation rate can be described as controlled by one rate-limiting enzyme; in...

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