square regression
Data driven approach to machine condition prognosis using least square regression trees
... Least Square Regression Tree (LSRT), which is an extension of the Classification and Regression Tree (CART), in association with one-step-ahead prediction of time-series forecasting technique to ...
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Data driven approach to machine condition prognosis using least square regression trees
... Least Square Regression Tree (LSRT), which is an extension of the Classification and Regression Tree (CART), in association with one-step ahead prediction of time-series forecasting techniques to ...
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Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation
... Abstract -- We study the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. An explicit expression of the solution of this kernel ...
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Error analysis for \(l^{q}\) coefficient regularized moving least square regression
... We recall the regression learning problem by the MLS method briefly. Functions for learning are defined on a compact subset X (input space) of R n and take values in Y = R (output space). The sampling process is ...
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Comparative Analysis Of Least Square Regression And Fixed Effect Panel Data Regression Using Road Traffic Accident In Nigeria
... This research work focuses at obtaining consistent estimate of fixed effect models for panel data regression applied to data of road traffic accidents whichoccurred in Nigeria between 2002 and 2006in the 36 states ...
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Analysis of the Determinants of Spatial Inequality in Ghana Using Two-Stage Least-Square Regression
... (2SLS) regression method, and using district-level data, we develop a model to test the effects of several factors on socio-economic development, including levels of urbanisation, ecological factors, proximity to ...
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Partial least square regression applied to the QTLMAS 2010 dataset
... We used a non conventional method to infer QTL, based on finding local maxima of a smoothed curves traced through the QTL probabilities (in the single mar- ker regression) and through the standardized ...
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TRUST IN FINANCIAL MOBILE APPS – A PARTIAL LEAST SQUARE REGRESSION APPROACH
... overnment of India’s push towards digital transactions after demonitisation has led to flooding of financial mobile apps of banks and private corporations in the app stores. Among the panoply of financial mobile apps, ...
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Effect of Sustainability Accounting on Universities Financial Performance in Nigeria
... least square regression was used to analyze the data to test for the relationship between the sustainability accounting variables (corporate social responsibility expenditure, total personnel costs) and ...
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Soil Quality Assessment By Near Infrared Spectroscopy: Predicting Ph And Soil Organic Carbon
... and SOC) were measured by means of standard laboratory methods. Prediction models were developed and established using principal component regression (PCR) and partial least square regression (PLS) ...
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Statistical distribution of elapsed times and distances of seismic events: the case of the Southern Spain seismic catalogue
... the minimum elapsed time is almost null in comparison with the total length of the seismic episode, and parameters u and K can be easily estimated in a first approach by a least square regression in a ...
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Access to Formal Credit and Gender Income Gap: The Case of Farmers in Cambodia
... OLS regression to identify the determinants of income among farmers and we will test the difference in coefficients to see whether there is a difference in variable coefficients between male and female ...least ...
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A SIMPLE UV SPECTROPHOTOMETRIC METHOD FOR THE DETERMINATION OF FEBUXOSTAT IN BULK AND PHARMACEUTICAL FORMULATIONS
... A simple and cost effective spectrophotometric method is described for the determination of febuxostat in pure form and in pharmaceutical formulations. The drug was highly soluble in methanol so it was selected as the ...
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Should Regression in Time Series be Computed Using Original Data or their Deltas?
... All practitiOners are aware that least square regression equations in time series are prone to produce r~s very near unity because during the regression period e.. post-war all the serie[r] ...
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“Development and Validation of UV Spectrophotometric Method for the Estimation of Ticagrelor (Oral Antiplatelet (OAP) in Pharmaceutical Dosage Form” by P. Ravisankar, M. Sireesha, P. Srinivasa Babu, CH. Purna Vyshnavi, K. David Raju, India.
... values were taken for standard calibration plot, and the calibration curve was plotted. The aliquots of concentration ranging from 2-10 µg/ ml concentrations were used. The linearity was calculated by the least ...
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Econometrics Analysis of Impact of Capital Market on Economic Growth in Nigeria (1971-2010)
... The stock market is a common feature of a modern economy and it is reputed to perform some necessary functions, which promote the growth and development of the economy. This study examines whether or not stock market ...
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Vegetation Water Content Prediction: Towards More Relevant Explicatory Waveband Variables
... Assessing vegetation water content (VWC) from hyperspectral reflectance dataset poses two foremost questions: what specific wavebands of the SWIR offer a good retrieval and what modeling methods have the best predictive ...
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Determinants of use of insecticide-treated nets among pregnant women in Nigeria
... logistics regression shows that pregnant women who are confident to hang or use a net were almost ten times more likely to use a net than those who do not know, while those who know that the use of an ITN/LLIN can ...
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Happiness and House Prices in Canada: 2009-2013 Hussaun A. Syed
... The purpose of this study was to understand the relationship between happiness and housing prices in Canada. The happiness data were obtained from the General Social Survey between 2009 and 2013, asking respondents to ...
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Study The Relationship Between Emotional Intelligence Of The Managers And Their Entrepreneurial Personality In Air-Handling Units And Industrial Diffusers Manufacturers With Using Artificial Neural Network
... the regression model and the artificial neural network model for the study the relationship between dimensions of emotional intelligence and entrepreneurial personality were ...
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