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112 results for “Linear Regression Model”
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Research ArticleOpen accessIn the abstractMeasures of Explained Variation and the Base-Rate Problem for Logistic RegressionDinesh Sharma, Dan McGee, B.M. Golam KibriaProblem statement: Logistic regression, perhaps the most frequently used regression model after the General Linear Model (GLM), is extensively used in the field of medical science to analyze prognostic factors in studies of dichotomous outcomes. Unlike the GLM, many different proposals have been made to measure the explained variation in logistic regression analysis. One of the limitations of these measures … …Current Research in Biostatistics, Vol. 2, Issue 1 · 25 Feb 2012 · 8,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeduction of Oral Cancer Using Fuzzy Linear RegressionS. Arulchinnappan, K. Karunakaran, G. RajendranProblem statement: To examine the risk factors of oral cancer at the earlier stage. Smoking, chewing, and drinking are the major risk factors which cause oral cancer considered as input variables. Approach: A case – control study was conducted at JKK Nataraj Dental College and Hospital, during the period from September 2007 to November 2009, in Namakkal District, Tamilnadu, India. … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation Methods for Multicollinearity Proplem Combined with High Leverage Data PointsMoawad El-Fallah, Abd El-SallamProblem statement: Least Squares (LS) method has been the most popular method for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously affected by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Although LS estimates are unbiased in the … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractCompetencies Influencing Extension Workers’ Job Performance in Relation to the Good Agricultural Practices in MalaysiaNeda Tiraieyari, Khairuddin Idris, Jegak Uli, Azimi HamzahProblem statement: The bottom line in agricultural trade is that manufacturers are demanding agricultural products that are produced in a sustainable way and with assurance that they are truly conforming to the standards of Good Agriculture Practice. Towards this objective, attention has been given on sustainable agricultural productions in Malaysia. This study is an attempt to investigate job performance of … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 8,557 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis of Rainfall and Temperature Interactions in Coastal CatchmentsGurudeo Anand Tularam, Mahbub IlaheeProblem statement: As a result of climate change more work is now being done on climate indices such as SOI, rainfall, temperature and so on. The research concerning rainfall and temperature variations in coastal tropical and subtropical catchments as noted by the dated references in this study shows a lack of attention. The authors examined long term data from coastal … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 15,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractDissolved Ammonia Adsorption in Water Using Over Burnt BrickShukra Raj Paudel, Bhagwan Ratna KansakarProblem statement: The groundwater of Kathmandu Valley contained very high concentration of ammonia nitrogen which was in excess of WHO guideline value for drinking water. Approach: This study mainly focused on the removal of ammonia nitrogen in water by adsorption in locally available over burnt brick. The study was carried out in a 4.2 cm internal diameter column of 120 … …Energy Research Journal, Vol. 1, Issue 1 · 30 Jun 2010 · 8,451 accessesView PDFCite
Research ArticleOpen accessIn the abstractTartaric Acid Modified Rice Hull as a Sorbent for Methylene Blue RemovalSiew-Teng Ong, Pei-Sin Keng, Ai-Wen Chong et al.Problem statement: Improper dye discharge from various industries such as textile, paper, cosmetic and plastics into receiving streams can be one of the sources towards water pollution. The release of these effluents not only causes various disruptions in the ecosystems, but also poses hazard effect as most of the dyes are highly toxic, mutagenic and carcinogenic in nature. Approach: To … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,151 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Phone Duration Models for Greek Emotional SpeechAlexandros Lazaridis, Vasiliki Bourna, Nikos FakotakisProblem statement: In this study we cope with the task of phone duration modeling for Greek emotional speech synthesis. Approach: Various well established machine learning techniques are applied for this purpose to an emotional speech database consisting of five archetypal emotions. The constructed phone duration prediction models are built on phonetic, morphosyntactic and prosodic features that can be extracted only … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,065 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Optimization of Fermentation Conditions for Cellulase Production from Palm Oil Mill EffluentJamal I. Daoud, Md. Zahangir AlamProblem statement: Palm oil mill effluent discharged by the oil palm industries is considered as the mixed of high polluted effluent which is abundant (about 20 million tonnes year-1) and its effect contributes to the serious environmental problems through the pollution of water bodies. Approach: The aim of this study was to identify the potential of low cost substrate such … …American Journal of Environmental Sciences, Vol. 6, Issue 1 · 28 Feb 2010 · 8,192 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Estimations as a Remedy for Multicollinearity Caused by Multiple High Leverage PointsArezoo Bagheri, Habshah MidiProblem statement: The Least Squares (LS) method has been the most popular technique for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously disturbed by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Even though LS estimates are unbiased … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 8,247 accessesView PDFCite