<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The authors consider the construction of a nonlinear multiple regression model, its confidence and prediction intervals to evaluate the efforts of mobile application development in the planning phase based on the multivariate normalizing transformation and outlier detection. The constructed model is compared to the linear regression model and nonlinear regression models based on the univariate transformations, such as the decimal logarithm, Box–Cox, and Johnson transformation. This model, in comparison with other regression models, has better prediction accuracy.</p></abstract>

The authors consider the construction of a nonlinear multiple regression model, its confidence and prediction intervals to evaluate the efforts of mobile application development in the planning phase based on the multivariate normalizing transformation and outlier detection. The constructed model is compared to the linear regression model and nonlinear regression models based on the univariate transformations, such as the decimal logarithm, Box–Cox, and Johnson transformation. This model, in comparison with other regression models, has better prediction accuracy.

Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis

Admiral Makarov National University of Shipbuilding

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 International License.

The authors consider the construction of a nonlinear multiple regression model, its confidence and prediction intervals to evaluate the efforts of mobile...

Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis

Pubblicato online: 28 dic 2020

Pagine: 172 - 179

DOI: https://doi.org/10.2478/acss-2020-0019

Parole chiave
Estimation, maximum likelihood estimation, mobile applications, parameter estimation, planning, regression analysis, transform

© 2020 Sergiy Prykhodko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis

Pubblicato online: 28 dic 2020

Pagine: 172 - 179

DOI: https://doi.org/10.2478/acss-2020-0019

Parole chiaveEstimation, maximum likelihood estimation, mobile applications, parameter estimation, planning, regression analysis, transform

© 2020 Sergiy Prykhodko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Estimation, maximum likelihood estimation, mobile applications, parameter estimation, planning, regression analysis, transform