Modelling oil and gas flow rate through chokes: A critical review of extant models
Oil and gas metering is primarily used as the basis for evaluating the economic viability of oil
wells. Owing to the economic implications of oil and gas metering, the subject of oil and gas …
wells. Owing to the economic implications of oil and gas metering, the subject of oil and gas …
Ordinary least squares estimation of parameters of linear model
K Lakshmi, B Mahaboob, M Rajaiah, C Narayana - J. Math. Comput. Sci., 2021 - scik.org
This research article primarily focuses on the method of ordinary least squares estimation of
parameters of linear model. Here an innovative proof of Gauss-Markoff theorem for linear …
parameters of linear model. Here an innovative proof of Gauss-Markoff theorem for linear …
A new vision on ordinary least squares estimation of parameters of linear model
K Lakshmi, B Mahaboob, DS Kumar… - AIP Conference …, 2021 - pubs.aip.org
This paper aims at the method of OLS estimation of parameters of linear model. Here an
innovative proof of Gauss-Markoff theorem for linear estimation has been presented. An …
innovative proof of Gauss-Markoff theorem for linear estimation has been presented. An …
[PDF][PDF] Existence of solution of the nonlinear differential equation in the modeling of eardrum by using homotopy perturbation method
The eardrum model equation has non odd restoring force function. It is observed that it is
asymmetrically loaded and undergoes asymmetric oscillations for positive and negative …
asymmetrically loaded and undergoes asymmetric oscillations for positive and negative …
[PDF][PDF] Series decomposition method for asymmetric nonlinear oscillations
JP Praveen, BN Rao, B Mahaboob… - … . Math.: Sci. J, 2020 - research-publication.com
STSDM is considered to be an efficient method to solve a large number of problems in
Engineering and Sciences. It gives divergent series solution which is similar to DTM. In order …
Engineering and Sciences. It gives divergent series solution which is similar to DTM. In order …
On mathematical and statistical aspects of linear models
K Lakshmi, B Mahaboob… - Intelligent and …, 2021 - taylorfrancis.com
This research article presentssome mathematical and statistical aspects of linear models
and their characteristic properties. In Statistics, the term linear model is used in different …
and their characteristic properties. In Statistics, the term linear model is used in different …
Lexi-Search algorithm to solve the minimum spanning connectivity of clustered cities to the headquarter city
YH Krishna, P Venkateswararao… - Intelligent and …, 2021 - taylorfrancis.com
In this paper we present a variant minimum spanning problem called “Minimum Spanning
Connectivity of Clustered Cities to the Headquarter City. This problem is a generalization of …
Connectivity of Clustered Cities to the Headquarter City. This problem is a generalization of …
Methods and Applications of Stochastic Modeling
C Narayana, B Mahaboob, YH Krishna… - Intelligent and …, 2021 - taylorfrancis.com
A stochastic model is a tool for estimating probability distributions of potential outcomes by
allowing for random variation in one or more inputs over time. Obviously, the natural world is …
allowing for random variation in one or more inputs over time. Obviously, the natural world is …
Applications of Mathematical Modelling Techniques
C Narayana, B Mahaboob, YH Krishna… - Intelligent and …, 2021 - taylorfrancis.com
The primary objective of this research article is to discuss the applications of mathematical
modeling techniques with difference equations and ordinary differential equations …
modeling techniques with difference equations and ordinary differential equations …
Regression analysis based decision support system with relationship extraction
SS Aravinth, S Srithar, M Senthilkumar… - Model Assisted …, 2022 - content.iospress.com
Regression analysis is a widely used statistical technique for estimating the relationship
between two variables. These two variables are called independent and dependent …
between two variables. These two variables are called independent and dependent …