scholarly journals A Method of Constructing the Fuel Efficiency Model Based on Quadratic Polynomial Regression

2011 ◽  
Vol 15 ◽  
pp. 3749-3753 ◽  
Author(s):  
Tian Qian-qian ◽  
Chen Jing-jie ◽  
Dong Jian-kang
Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 443 ◽  
Author(s):  
Long Li ◽  
K.F.M. Abouelezz ◽  
Zhonggang Cheng ◽  
A.E.G. Gad-Elkareem ◽  
Qiuli Fan ◽  
...  

Two experiments were carried out to investigate the dietary methionine requirement for fast and slow-growing Chinese yellow-feathered breeds during the starter phase, based on growth variables and regression models. In Experiment 1, a total of 2880 one-day-old Lingnan chicks (fast growing breed) were used to test the methionine requirement from 1 to 21 days of age for males and females separately. Of each gender, 1440 birds were allocated into 6 dietary methionine levels (0.28%, 0.32%, 0.37%, 0.43%, 0.50% and 0.63%), each with 6 pen replicates of 40 chicks. Experiment 2 had the same design with Guangxi chicks (slow growing breed) from 1 to 30 d of age. Results indicated that significant nonlinear or quadratic responses to increasing dietary methionine levels were observed in body weight, daily gain, feed intake and feed conversion ratio of both breeds. In summary, the quadratic polynomial regression showed that the optimal methionine requirements for maximal growth performance of Lingnan chickens were 0.52–0.58% in males, 0.51% in females, and 0.53% in mixed genders. The corresponding values for Guangxi breed were 0.53% in males by quadratic polynomial regression and 0.43% in females, and 0.48% to 0.49% in mixed sexes by exponential asymptotic models.


2018 ◽  
Vol 7 (4) ◽  
pp. 104
Author(s):  
Conlet Biketi Kikechi ◽  
Richard Onyino Simwa

This article discusses the local polynomial regression estimator for  and the local polynomial regression estimator for  in a finite population. The performance criterion exploited in this study focuses on the efficiency of the finite population total estimators. Further, the discussion explores analytical comparisons between the two estimators with respect to asymptotic relative efficiency. In particular, asymptotic properties of the local polynomial regression estimator of finite population total for  are derived in a model based framework. The results of the local polynomial regression estimator for  are compared with those of the local polynomial regression estimator for  studied by Kikechi et al (2018). Variance comparisons are made using the local polynomial regression estimator  for  and the local polynomial regression estimator  for  which indicate that the estimators are asymptotically equivalently efficient. Simulation experiments carried out show that the local polynomial regression estimator  outperforms the local polynomial regression estimator  in the linear, quadratic and bump populations.


2019 ◽  
Author(s):  
Samuel Filgueira da Silva ◽  
Eisenhawer de Moura Fernandes ◽  
Wanderley Ferreira de Amorim Junior

2012 ◽  
Vol 41 (1) ◽  
pp. 1-15
Author(s):  
Naohiro Kato ◽  
Satoshi Kuriki

2009 ◽  
Author(s):  
Christopher M. Atkinson ◽  
Marc Allain ◽  
Yury Kalish ◽  
Houshun Zhang

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