A Weighted Multiple Regression Model to Predict Rainfall Patterns: Principal Component Analysis approach

a segmented principal component analysis-regression approach to qsar study of peptides

A principal component approach to dynamic regression models

In this paper we introduce a dynamic regression model that states how an output is related to an input allowing future values forecasting. The basic tools to set up this model are the orthogonal decomposition of a discrete time stochastic process by means of its principal components analysis, and the linear regression performed on the principal components of input and output processes. The beha...

comparison of neural network and principal component-regression analysis to predict the solid waste generation in tehran

background: municipal solid waste (msw) is the natural result of human activities. msw generation modeling is of prime im­portance in designing and programming municipal solid waste management system. this study tests the short-term pre­diction of waste generation by artificial neural network (ann) and principal component-regression analysis. methods: two forecasting techniques are presented in...

General practitioners\' views on key factors affecting their desired income: A principal component analysis approach

Background: Based on the target income hypothesis, the economic behavior of physicians is mainly affected by their target income. This study aimed at designing an instrument to explain how general practitioners (GPs) set their desired income.    Methods: A self-administered questionnaire of affecting factors on GPs' target income was extracted from literature reviews and a small qual...

Spectral compression: Weighted principal component analysis versus weighted least squares

Two weighted compression schemes, Weighted Least Squares (wLS) and Weighted Principal Component Analysis (wPCA), are compared by considering their performance in minimizing both spectral and colorimetric errors of reconstructed reflectance spectra. A comparison is also made among seven different weighting functions incorporated into ordinary PCA/LS to give selectively more importance to the wav...