Outlier detection under a covariate-adjusted exponential regression model with censored data

2021 ◽  
Author(s):  
Yingli Pan ◽  
Zhan Liu ◽  
Guangyu Song
Keyword(s):  
Regression Model ◽  
Outlier Detection ◽  
Censored Data ◽  
Exponential Regression ◽  
Exponential Regression Model

scholarly journals Study of oral lactobacillus towards developing a comprehensive structured for integrated exponential regression model

2020 ◽  
Vol 19 (3) ◽  
pp. 552-557
Author(s):  
RabiatulAdawiyah Abdul Rohim ◽  
Wan Muhamad Amir W Ahmad ◽  
Noor Huda Ismail ◽  
Muhammad Azeem Yaqoob ◽  
Mohammad Khursheed Alam ◽  
...  
Keyword(s):  
Regression Model ◽  
Bacterial Species ◽  
Research Work ◽  
Regression Method ◽  
Small Sample ◽  
Oral Disease ◽  
Probiotic Bacteria ◽  
Average Width ◽  
Exponential Regression ◽  
Exponential Regression Model

Introduction: Probiotics are well-defined as live microorganisms that usefully affect the host and probiotic bacteria have been used intensely. For years to target gastrointestinal disease by rebalancing the compound microflora. Besides the gastrointestinal tract also the oral cavity is highly colonized by bacteria and many different bacterial species are part of the microbiota in the mouth, as it offers ideal conditions for bacteria with a stable temperature, moist surface with a relatively stable pH and regular supply of nutrients. Probiotic bacteria like Lactobacillus are a promising treatment strategy for oral disease with a microbiological etiology. To gain better results, many researchers that study and emphasize specific methods been tried to build a new or improved methodology. Objectives: The aimed of this study is to improve the performance of exponential growth by adding bootstrap and fuzzy techniques (Integrated exponential regression method). The aim of the research work is to develop a comprehensive framework for an integrated exponential regression model. Material and Methods: The data were taken from the present data available from the recently done by a researcher for nurturing selected microorganisms. The gathered data will be used for the exponential modeling and the efficiency of the model will be compared accordingly due to the predicted interval from the exponential regression method and an integrated exponential regression method. This paper also provides the algorithm for the prediction of cell growth and inferences. Results: The result shows that the average width for the exponential regression model was 19.2228 while an integrated exponential regression method was 0.0075. The average width of integrated exponential regression was smaller than the exponential regression. This clearly shows that the integrated exponential regression method is more efficient than exponential regression technique. Conclusion: This proposed method can be applied to small sample size data, especially when limited data is obtained. Bangladesh Journal of Medical Science Vol.19(3) 2020 p.552-557

The exponentiated power exponential regression model with different regression structures: application in nursing data

2019 ◽  
Vol 46 (10) ◽  
pp. 1792-1821 ◽  
Author(s):  
F. Prataviera ◽  
J. C. S. Vasconcelos ◽  
G. M. Cordeiro ◽  
E. M. Hashimoto ◽  
E. M. M. Ortega
Keyword(s):  
Regression Model ◽  
Exponential Regression ◽  
Nursing Data ◽  
Exponential Regression Model

The best least squares approximation problem for a 3-parametric exponential regression model

2000 ◽  
Vol 42 (2) ◽  
pp. 254-266 ◽  
Author(s):  
D. Jukić ◽  
R. Scitovski
Keyword(s):  
Regression Model ◽  
Least Squares ◽  
Approximation Problem ◽  
Existence Problem ◽  
Least Squares Approximation ◽  
Exponential Regression ◽  
Exponential Regression Model

AbstractGiven the data (pi, ti, fi), i = 1,…,m, we consider the existence problem for the best least squares approximation of parameters for the 3-parametric exponential regression model. This problem does not always have a solution. In this paper it is shown that this problem has a solution provided that the data are strongly increasing at the ends.

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