TIME SERIES ANALYSIS OF PM10 FOR NOIDA SECTOR 1 INDUSTRIAL AREA IN NCR USING MULTIPLE LINEAR REGRESSION
Journal Title: Bulletin of Pure and Applied Sciences Sec. E - Mathematics and Statistics - Year 2018, Vol 37, Issue 2
Abstract
Time series analysis can be used to quantitatively explain and predict air pollutants. This technique offers the possibility of formulating policy to tackle problem of air pollution. This paper intends to develop time series model for air pollutant Particulate Matter (PM10) for Sector-1 industrial area of Noida city in National Capital Region (NCR) of India using multiple linear regression.
Authors and Affiliations
Gaurav Kumar
COCHAIN-VALUED THEORY IN TOPOLOGICAL FIELD THEORY
We determine the category of boundary conditions in the case that the closed string algebra is semisimple. We find that sewing constraints - the most primitive form of worldsheet locality - already imply that D-branes ar...
Restricted Constraints in a Max-Flow and Min-Cost problem
The present paper defines a combination of two most important and old flow problems such as maximum flow and minimum cost flow. In the first one a flow with the maximum value from source node to sink node is sought. The...
MAHLER MEASURE OF CHARGED GRAPHS OVER THE PURE CUBIC FIELD Q ( )
In this paper, the algebraic integer as a edge label from the pure cubic field to the all vertices of the simple graphs thereafter charges to all the vertices and get the edge labeled charged graphs. Further to find the...
Magneto-Convective Fluid Flow past an Exponentially Accelerated Vertical Porous Plate in the Presence of Thermal Diffusion
A theoretical analysis is performed to analyze the characteristics of an unsteady free convective, radiative, chemically reactive, viscous, incompressible and electrically conducting fluid past an exponentially accelerat...
Common Fixed Point for Compatible Mappings of Type () Satisfying an Implicit Relation
Here we prove a common fixed point theorem for compatible mappings of type () satisfying an implicit relation. We extend results of Popa [9] for five mappings.