نتایج جستجو برای: statistical experimental design
تعداد نتایج: 1881956 فیلتر نتایج به سال:
this study a novel high performance liquid chromatography for the assay of nystatin in oral and vaginal tablets were optimized and validated using box–behnken experimental design. the method was performed in the isocratic mode on a rp-18 column (30 °c) using a mobile phase consisting of 0.05 m ammonium acetate buffer/ methanol mixture (30:70) and a flow-rate of 1.0 ml/min. the method was valida...
Cox and Hinkley’s Theoretical Statistics (1974) was arguably the first modern treatment of the foundations and theory of statistics, and for the past thirty years has served as a unique book for the study of what used to be called mathematical statistics. One of its strengths is the large number of examples that serve not only to illustrate key concepts, but also to illustrate limitations of ma...
Optimal information gathering is a central challenge in machine learning and science in general. A common objective that quantifies the usefulness of observations is Shannon’s mutual information, defined w.r.t. a probabilistic model. Greedily selecting observations that maximize the mutual information is the method of choice in numerous applications, ranging from Bayesian experimental design to...
Objective: The aim of this study was to determine the effect of Learning through Virtual Social Networks Based on the 5E Instructional Design Model on the Creativity and Social Participation of Mentally Retarded Children in the Experimental Sciences. Method: The research method was experimental and the experimental design was quasi-experimental with pretest-posttest and control group. The stat...
Bioassays are methods employed to estimate the effect of a given substance in living matter, and therefore they are frequently used in the pharmaceutical industry. The experimental design of bioassays has to take into account the intrinsic variability in the biological test units and other factors as operators, day variation, batch variation, etc. Thus, statistical models employed to analyse bi...
We propose a Bayesian nonparametric regression model that exploits clustering for increased sensitivity in multiple hypothesis testing. We build on the recently proposed BEMMA (Bayesian Effects Models for Microarrays) method which is able to model dependence among objects through clustering and then estimates hypothesis-testing parameters averaged over clustering uncertainty. We propose several...
Published in Agron. J. 105:412–418 (2013) doi:10.2134/agronj2012.0392 Copyright © 2013 by the American Society of Agronomy, 5585 Guilford Road, Madison, WI 53711. All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permis...
Array comparative genomic hybridization (aCGH) technology is commonly used to estimate genome-wide copy-number variation and to evaluate associations between copy number and disease. Although aCGH technology is well developed and there are numerous algorithms available for estimating copy number, little attention has been paid to the important issue of the statistical experimental design. Herei...
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