Multiphasic growth modelsExponential modelCarrying capacity26A4865D1062J02In this paper, we introduce a nonlinear model which can be used as a regression model for modeling phenomena requiring a two-phase growth curves. The proposed model is defined as a continuous piecewise combination of two ...
A Maximum Likelihood Method for Piecewise Regression Models with a Continuous Dependent Variable S ummary This paper develops a maximum likelihood method for estimating a piecewise regression model with a continuous dependent variable. The method emplo... TI Zang - 《Journal of the Royal Statistical...
The objective of developing empirical models with well determined parameters is to obtain a better understanding of the nitrification of activated sludge. The D -optimal experimental design criterion and nonlinear regression analysis were used to obtain precise parameter estimates. Our experiment consisted ...
Estimation of two﹑hase polynomial regression models is a nonヽonvex, non﹕mooth optimization problem. Grid search provides high quality solutions to the estimation problem, but is very slow when done by brute force. Building upon our previous work on piecewise linear two﹑hase regression models ...
This study focuses on improving prediction of the two types of ENSO by combining multi-model ensemble (MME) with a statistical error correction method that is based on a stepwise pattern projection and applied to all models before doing the MME. We evaluate such a combinational approach using fi...
Fuzzy piecewise regression Logistic model Multiple objective programming Delphi method a b s t r a c t It is undeniably crucial for a firmto be able to make a forecast regarding the sales volume of newproducts. However, the current economic environments invariably have uncertain factors and ra...
(b) 4 stations from Australia, data obtained from the Australian Government Bureau of Meteorology. The model represents an improved version of the BRL model, proposed by Ridley et al. (2010). Its novelties consist in the use of a piecewise logistic function, accompanied by the addition of ...
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Hence, a linear regression does not corroborate a Power Law because Lognormal, exponential (see [5]) and other distributions can manifest themselves as linear in a rank/size log–log plot. The following equation, Equation (2) of Hoon et al. [25], further describes this relation: xrβ=A...
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