scholarly journals Monte Carlo simulation of parameter confidence intervals for non-linear regression analysis of biological data using Microsoft Excel

2012 ◽  
Vol 107 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Ronald J.W. Lambert ◽  
Ioannis Mytilinaios ◽  
Luke Maitland ◽  
Angus M. Brown
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Regression Analysis ◽  
Linear Regression ◽  
Confidence Intervals ◽  
Linear Regression Analysis ◽  
Biological Data ◽  
Microsoft Excel ◽  
Non Linear

Optimising the Production of Combined Filter/Sorption Composite Materials

2017 ◽  
Vol 44 (9) ◽  
pp. 51-58
Author(s):  
A.V. Genis ◽  
A.V. Kuznetsov ◽  
G.M. Il'yutkina ◽  
L.V. Polyakov
Keyword(s):  
Regression Analysis ◽  
Composite Materials ◽  
Linear Regression ◽  
Protective Clothing ◽  
Linear Regression Analysis ◽  
Physicomechanical Properties ◽  
Single Stage ◽  
Service Properties ◽  
Non Linear ◽  
Bonding Technology

The main relationships governing the production of combined filter/sorption materials by plying-up with the application of adhesive melts have been studied. It has been established that the use of single-stage bonding technology makes it possible to improve the physical and physicomechanical properties of multilayer non-woven mats. The possibility of optimising the plying-up process by using multiple non-linear regression analysis has been demonstrated. Materials with service properties suitable for use in protective clothing have been obtained.

Sign in / Sign up

Export Citation Format

Share Document