نتایج جستجو برای: multiple linear regressions mlr

تعداد نتایج: 1203338  

J. Sajad M. Farasati O. Bahmani S. M. Seyedian

ABSTRACT-Different evapotranspiration (ET) estimation equations having different accuracy with different conditions have been developed for ET estimation. This study will firstly focus on the estimation of 13 climatic equations of daily garlic ET estimation whose  ET is measured by lysimeter to provide information which can be helpful in selecting an appropriate ET equation. The paper aims at s...

The purpose of this work is to promote and facilitate forensic profiling and chemical analysis of illicit drug samples in order to determine their origin, methods of production and transfer through the country. The article is based on the gas chromatography analysis of heroin samples seized from three different locations in Serbia. Chemometric approach with appropriate statistical tools (multip...

1999
Wonsuk Lee Stephen W. Searcy Takashi Kataoka

Nitrogen (N) is an essential element for crop growth and its accurate assessment in plants is a key to nutrient management. This research was conducted to explore the feasibility of using spectral reflectance to predict nitrogen content in corn plant varieties with varying color. A problem identified by previous researchers is the variability of spectral responses from varieties with different ...

2005
I. Bogrekci W. S. Lee

This study investigated the effects of soil particle size on the reflectance spectra of sandy soils using ultraviolet, visible, and near-infrared spectroscopy in sensing phosphorus (P) concentration. Pure sandy soil was graded into three particle sizes. Sieve sizes were 125, 250, and 600 m for fine, medium, and coarse, respectively. Phosphorus application rates for the soil samples were 0.0, 12...

2008
Marie-Claude Beaulieu Jean-Marie Dufour Lynda Khalaf

We propose identi…cation robust inference methods for multivariate reduced rank (MRR) regressions. Such models involve nonlinear restrictions on the coe¢ cients of a multivariate linear regression (MLR), whose identi…cation may raise serious non-regularities leading to the failure of standard asymptotics. To circumvent such problems, we propose con…dence set estimates for parameters of interest...

2013
Rokaya Mouhibi Mohamed Zahouily Khalid El Akri Naîma Hanafi

Quantitative structure–activity relationship (QSAR) models were developed to predict for CCR5 binding affinity of substituted 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas using multiple linear regression (MLR) and artificial neural network (ANN) techniques. A model with four descriptors, including Hydrogen-bonding donors HBD(R7), the partition coefficient between n-octanol and water log...

2013
Fernando Mateo Juan José Carrasco Fernández Mónica Millán-Giraldo Abderrahim Sellami Pablo Escandell-Montero José María Martínez-Martínez Emilio Soria-Olivas

Energy efficiency in buildings requires having good prediction of the variables that define the power consumption in the building. Temperature is the most relevant of these variables because it affects the operation of the cooling systems in summer and the heating systems in winter, while being also the main variable that defines comfort. This paper presents the application of classical methods...

Journal: :Momona Ethiopian Journal of Science 2023

Standard and econometric models are appropriate for causal relationships interpretations among facets of the economy. But with prediction, they tend to over-fit samples simplify poorly new, undetected data. This paper presents a batch gradient algorithm predicting rice land large datasets. uses descent minimize cost function, iteratively possible combinations number iterations i=1500 learning r...

ژورنال: مواد پرانرژی 2014

Abstract In this work tow simple approaches have been introduced to predict heat of explosion of high energetic materials. experimental heat of explosion of 74 energetic compound were collected from articles and this dataset was separated randomly into two groups, training and prediction sets, respectively, which were used for generation and evaluation of suitable models. Multiple linear reg...

A series of 2-benzoxazolinone, diazocoumarin and quinazoline derivatives have been shown to inhibit HIV replication in cell culture. To understand the pharmacophore properties of selected molecules and design new anti-HIV agents, quantitative structure–activity relationship (QSAR) study was developed using a descriptor selection approach based on the stepwise method. Multiple linear regression ...

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