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40 results for “Sample selection”
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Research ArticleOpen accessIn the abstractATLCEP: A New Integrated Design that Encompasses the Safety and Efficacy Objectives of Phase I/II TrialsRevathi Ananthakrishnan, Stephanie Green, Mark Chang et al.Several designs, such as designs to find the optimal biological dose, the Eff-Tox design and seamless Phase I/II designs, have been proposed to evaluate both drug toxicity and efficacy as alternatives to the traditional paradigm of a stepwise drug development approach. Here, we first examine the effect of sample and cohort size on the accuracy of dose selection in early … …Current Research in Biostatistics, Vol. 7, Issue 2 · 7 Apr 2018 · 7,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractCareer Maturity of Students with Visual Impairment in Relation to their Self Efficacy and Self AdvocacyKaur Supreet, Juneja MamtaThe study investigated relationship of career maturity with career decision self-efficacy and self-advocacy of the students with visual impairment. Mixed method approach employed for the study. Purposive sampling technique was employed, a sample of 100 students were taken for study. The main finding are: There is a significant relationship between career maturity (competence test) and career decision making self-efficacy of … …Journal of Social Sciences, Vol. 14, Issue 1 · 6 Jan 2018 · 8,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractModern Metaheuristic with Multi-Objective Formulation for the Variable Selection ProblemLauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle Soares et al.The development of efficient algorithms for variable selection becomes important to deal with large and complex datasets. Most works in quantitative chemical analysis have used Genetic Algorithms (GAs) as a reference method to select variables. On the other hand, new advances in metaheuristic techniques provide novel possibilities in this task Moreover, the application of Multi-Objective Optimization (MOO) may significantly contribute … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 7,661 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 abstractHYBRID FEATURE SELECTION ALGORITHM FOR INTRUSION DETECTION SYSTEMSeyed Reza Hasani, Zulaiha Ali Othman, Seyed Mostafa Mousavi KahakiNetwork security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in Information Security research using Soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 7,350 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Procedure to Improve the Order Selection of Autoregressive Time Series ModelAli Hussein Al-MarshadiProblem statement: We propose new approach could be used to guide the selection of the "true" order of autoregressive model for different sample size. Approach: We used simulation study to compare four model selection criteria with and without the help of the new approach. The comparison of the four model selection criteria was in terms of their percentage of number … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 14 Sep 2011 · 7,259 accessesView PDFCite
Research ArticleOpen accessIn the abstractDoes Predator Go for Size Selection or Preferential Toxic-Nontoxic Species Under Limited Resource?Joydeep Pal, S. Bhattacharya, J. ChattopadhyayProblem statement: Selectivity is common in predator-prey interaction but the selection mechanism is still unexplored and a debatable issue in modern theoretical and experimental ecology for numerous species across the globe. In present investigation we emphasized the hypothesis that the zooplankton is less inclined to opt the food based on size selectivity criteria than the preferential selectivity for the safe … …OnLine Journal of Biological Sciences, Vol. 10, Issue 1 · 30 Jun 2010 · 7,903 accessesView PDFCite
Research ArticleOpen accessIn the abstractRegression Analysis of Effective Factor on People Participation in Protecting, Revitalizing, Developing and Using Renewable Natural Resources in Ilam Province from the View of UsersBagher Arayesh, Sayed Jamal HosseiniProblem statement: The purpose of this study was the regression analysis of effective factor on people participation in protecting, revitalizing, developing and using renewable natural resources in Ilam province. Approach: This study was a casual comparative and applies one. Sample was taken from natural resources users. Results: The sample size of groups was 317 for users respectively. For sample selection, … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 2 · 30 Jun 2010 · 7,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractStochastic Optimization for Portfolio Selection Problem with Mean Absolute Negative Deviation MeasureAnton Abdulbasah Kamil, Adli Mustafa, Khlipah IbrahimProblem statement: The most important character within optimization problem is the uncertainty of the future returns. Approach: To handle such problems, we utilized probabilistic methods alongside with optimization techniques. We developed single stage and two stage stochastic programming with recourse. The models were developed for risk adverse investors and the objective of the stochastic programming models is to minimize the … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,571 accessesView PDFCite