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least square regression

Data driven approach to machine condition prognosis using least square regression trees

Data driven approach to machine condition prognosis using least square regression trees

... of 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 ...

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Data driven approach to machine condition prognosis using least square regression trees

Data driven approach to machine condition prognosis using least square regression trees

... of 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 ...

15

Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation

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 ...

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Analysis of the Determinants of Spatial Inequality in Ghana Using Two-Stage Least-Square Regression

Analysis of the Determinants of Spatial Inequality in Ghana Using Two-Stage Least-Square Regression

... two-stage least-square (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 ...

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Comparative Analysis Of Least Square Regression And Fixed Effect Panel Data Regression Using Road Traffic Accident In Nigeria

Comparative Analysis Of Least Square Regression And Fixed Effect Panel Data Regression Using Road Traffic Accident In Nigeria

... For many years, the most challenging task in statistics has been the effort to device methods for making causal inferences from non experimental data. Also a difficult problem is how to statistically control the ...

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Error analysis for \(l^{q}\) coefficient regularized moving least square regression

Error analysis for \(l^{q}\) coefficient regularized moving least square regression

... The least-square (LS) method is an important global approximate method based on the regular or concentrated data sample ...moving least-square (MLS) method was introduced by McLain in [4] to ...

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TRUST IN FINANCIAL MOBILE APPS – A PARTIAL LEAST SQUARE REGRESSION APPROACH

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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Partial least square regression applied to the QTLMAS 2010 dataset

Partial least square regression applied to the QTLMAS 2010 dataset

... Figure 1 shows the smoothed curve of the negative loga- rithm of the significances in the single marker analyses. QTL for the continuous trait were located on chromo- somes 1 and 3 with smaller QTL on all chromosomes. ...

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Soil Quality Assessment By Near Infrared Spectroscopy: Predicting Ph And Soil Organic Carbon

Soil Quality Assessment By Near Infrared Spectroscopy: Predicting Ph And Soil Organic Carbon

... The main core in NIRS application is to develop prediction models with support of multivariate analysis, used to predict soil quality attributes in form of pH and soil organic carbon (SOC). Those prediction models were ...

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Vegetation Water Content Prediction: Towards More Relevant Explicatory Waveband Variables

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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Econometrics Analysis of Impact of Capital Market on Economic Growth in Nigeria (1971-2010)

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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Effect of Sustainability Accounting on Universities Financial Performance in Nigeria

Effect of Sustainability Accounting on Universities Financial Performance in Nigeria

... The study examined the relationship between sustainability accounting and financial performance of University system. The major objective of the study was to examine the impact of sustainability on Universities financial ...

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A SIMPLE UV SPECTROPHOTOMETRIC METHOD FOR THE DETERMINATION OF FEBUXOSTAT IN BULK AND PHARMACEUTICAL FORMULATIONS

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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ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital

ABSTRACT : Adaptive filter algorithm is a widely used method in communication systems, control systems, digital

... Least Mean Square (LMS) was developed by Windrow & Holf in 1959. The steepest descent approach is usedin LMS algorithm for estimating the gradient vector for deriving a cost function[7-10].Thesample ...

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An Empirical Study on the Contribution of Foreign Trade to the Economic Growth of Jiangxi Province, China

An Empirical Study on the Contribution of Foreign Trade to the Economic Growth of Jiangxi Province, China

... The regression results show that: (1) there is strong positive correlation between Jiangxi province’s export and GDP, and the fitting degree shown as Figure 3, in which the purple line represents the ...

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An Empirical Relationship between Foreign Direct Investment and Economic Growth: Evidence from India

An Empirical Relationship between Foreign Direct Investment and Economic Growth: Evidence from India

... ordinary least square (OLS) and fully modified ordinary least square (FMOLS) methods, the results from the ordinary least square and fully modified ordinary least ...

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Modeling exchange rate dynamics in India using stock market indices and macroeconomic variables

Modeling exchange rate dynamics in India using stock market indices and macroeconomic variables

... at least 25 per cent of their assets (either in debt or in equity or both) in infrastructure sector under the current USD 3 billion sub-limit for investment in mutual funds related to ...

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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System

Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System

... In this study MATLAB-SIMULINK based QO-STBC encoded MIMO CDMA system for LMS, NLMS and RLS adaptive filter algorithms are compared on the basis of convergence speed and root mean square error (RMSE). It has been ...

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Fuzzy Regression Model and Its Application: A Review

Fuzzy Regression Model and Its Application: A Review

... fuzzy regression model is appropriate and gives better ...Fuzzy regression model. Whereas conventional regression is appropriate for only crisp ...fuzzy regression model used in linear and ...

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