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79 results for “dependent variable”

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Research ArticleOpen accessIn the abstractPrediction of Body Weight of Yearling Boer Goats from Morphometric Traits using Classification and Regression TreeMadumetja Cyril Mathapo, Thobela Louis TyasiClassification and Regression Tree (CART) is a predictive algorithm method used to explains how the dependent variable can be predicted using independent variables (numerical and characters). The study was conducted to investigate the relationship between body weight and morphometric traits (Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Head … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 2 · 3 May 2021 · 8,439 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractPublic Opinion About Ramadan and Obesity in EgyptDina Aly Ezzat, Augustine J. KposowaThe aim of the study was to investigate the effect of people’s perception of Ramadan eating habits and obesity in Egypt. Data were obtained through a paper and pencil cross-sectional survey that was administered to adults aged 18 and above in the Assiut Governorate in Egypt in 2015. The dependent variable was obesity, measured using the body mass index. Multivariate … …Journal of Social Sciences, Vol. 16, Issue 1 · 26 Apr 2020 · 7,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Probit and Logistic Regression Models in the Analysis of Dichotomous OutcomesAmrutha Jose, Mariyamma Philip, Lavanya Tumkur Prasanna, M. ManjulaProbit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variables. The current study is designed to find the performance of logistic and probit regression models in different conditions under multivariate normality. The objective of the study is to compare the performance of probit … …Current Research in Biostatistics, Vol. 10, Issue 1 · 26 Mar 2020 · 17,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Some Dairy Performance Indices on Milk Somatic Cell Count in Holstein Dairy CowsAhmed Dawod, Sherif Shawky, Tamer M. Abdel-Hamid et al.This study was conducted to evaluate the direct and the indirect standardized effects of some dairy performance parameters (days dry, lactation length, parity, total milk yield and 305-day milk yield) on the milk Somatic Cell Count (SCC) of Holstein cows throughout modeling of these variables with the path analysis technique. During studying 617 Holstein cows were enrolled in the experiment … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 4 · 27 Oct 2019 · 7,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Model for Students’ Choice of College Major Based on Rough Set TheoryLuai Al-ShalabiLiterature is focusing on identifying factors that influence students’ initial choice of major and few have studied students’ involvements after registration in a selected major and this study is one of the few. This study aims to determine the important factors that influence high school students’ choice of major based on data mining techniques. A questionnaire was designed to collect … …Journal of Computer Science, Vol. 15, Issue 8 · 22 Aug 2019 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Exchange Rate Pass-Through into Inflation with Symmetric Oil Price Shocks: An Empirical Analysis for Saudi Arabia: 1970-2015Abdulaziz Hamad AlgaeedThe purpose of this paper is to analyze theoretically and empirically the relationship between inflation as a dependent variable and bilateral exchange rate, output gap and symmetric oil price shocks. The ARDL methodology is employed considering the period of 1970-2015. The exchange rate pass-through to inflation will be thoroughly investigated. Johansen’s testing procedure confirms the existence of long-run relationships between … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 26 Jan 2018 · 7,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration ProblemsKelton de Souza Santiago, Anderson Silva Soares, Telma Woerle de Lima et al.One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to determine the relationship between measured properties and concentrations. The multivariate calibration is one of the most successful … …Journal of Computer Science, Vol. 11, Issue 4 · 8 Jun 2015 · 7,381 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Working Capital Turnover on Jordanian Chemical Industries’ ProfitabilityLina WarradThe chemical industry is of long-term importance to the maintain development of local economies and consider the largest industrial sectors in Jordan in terms of the exports volume which accomplished JD 1049000S in 2012. Working capital considers being a measure of company’s efficiency and its short-term financial health; moreover, it is a critical component for a business survival and a … …American Journal of Economics and Business Administration, Vol. 5, Issue 3 · 25 Feb 2014 · 7,626 accessesView PDFCite