Analysis of variance

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In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. (Wikipedia.org)






Conferences related to Analysis of variance

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2013 6th International Symposium on Computational Intelligence and Design (ISCID)

Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models.


2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

hardware, control structure and microprogramming, i/o and data communication, integrated circuits, computer system organization, communication/networking and information technology, computing methodologies, artificial intelligence, computer graphics, image processing and computer vision, simulation modeling and visualization, computer application, physical science and engineering, computer aided engineering, computers in other system, information technology and system, modal and principles, information te


2012 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA)

ISSPA 2012 is the eleventh event in the series of conferences, which since 1985 has brought together leading researchers and practitioners from academia and industry engaged in research and development related to signal processing theory and applications. In 2007, ISSPA extended its coverage to include the complementary field of Information Sciences.


2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies.

  • 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA)

    Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies, Aerospace, Engineering Education.

  • 2010 5th IEEE Conference on Industrial Electronics and Applications (ICIEA)

    Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies.

  • 2008 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA)

    Automation, Computer Intelligence, Control Systems and Applications, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies and Emerging Technologies


2012 IEEE Congress on Evolutionary Computation (CEC)

The annual IEEE CEC is one of the leading events in the field of evolutionary computation.


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Periodicals related to Analysis of variance

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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Xplore Articles related to Analysis of variance

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Noise properties of periodic interpolation methods with implications for few-view tomography

P. J. La Riviere; X. Pan 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255), 1998

A number of methods exist specifically for the interpolation of periodic functions from a finite number of samples. When the samples are known exactly, exact interpolation is possible under certain conditions, such as when the function is bandlimited to the Nyquist frequency of the samples. However, when the samples are corrupted by noise, it is just as important to consider ...


Performance of stochastic quantizers employing nonlinear processing

P. Carbone; C. Narduzzi; D. Petri IEEE Transactions on Instrumentation and Measurement, 1996

Dithered quantizers are often employed in numerical instrumentation to improve the resolution and accuracy of the analog-to-digital converters used. To this aim, linear post-processing is usually performed on the quantized samples. In the paper, a different processing scheme is described that exhibits a nonlinear behavior. The characteristics of both linear and nonlinear topologies are analyzed, and expressions are given for ...


Attitude towards Information Privacy Issues among Students of IIUM

Ibrahim Kalif Mohamud; Akram M. Zeki; Aznan Zuhid Saidin 2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 2015

The continuous rapid development of ICT will continue to raise new ethical issues and students are likely to have little understanding of the ethical issues associated with using ICT. Thus, the purpose of this research is to explore the attitude of the International Islamic University Malaysia' (IIUM) students' towards information ethics issues of privacy. This study also investigates the differences ...


Evaluation of the feasibility of a novel distance adaptable steady-state visual evoked potential based brain-computer interface

Chi-Hsu Wu; Heba Lakany 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 2015

Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has attracted great attention in BCI research due to its advantages over the other electroencephalography (EEG) based BCI paradigms, such as high speed, high signal to noise ratio, high accuracy, commands scalability and minimal user training time. Several studies have demonstrated that SSVEP BCI can provide a reliable channel to the ...


ICC statistic as criterion for classification and feature selection

K. Selkainaho; J. Pakkinen [1988 Proceedings] 9th International Conference on Pattern Recognition, 1988

A statistical method is suggested for data classification using the interclass correlation coefficient (ICC) statistics as a criterion function. The theory of the statistics is represented and its characteristics has been investigated. An algorithm for data classification using ICC is also described


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Educational Resources on Analysis of variance

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eLearning

Noise properties of periodic interpolation methods with implications for few-view tomography

P. J. La Riviere; X. Pan 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255), 1998

A number of methods exist specifically for the interpolation of periodic functions from a finite number of samples. When the samples are known exactly, exact interpolation is possible under certain conditions, such as when the function is bandlimited to the Nyquist frequency of the samples. However, when the samples are corrupted by noise, it is just as important to consider ...


Performance of stochastic quantizers employing nonlinear processing

P. Carbone; C. Narduzzi; D. Petri IEEE Transactions on Instrumentation and Measurement, 1996

Dithered quantizers are often employed in numerical instrumentation to improve the resolution and accuracy of the analog-to-digital converters used. To this aim, linear post-processing is usually performed on the quantized samples. In the paper, a different processing scheme is described that exhibits a nonlinear behavior. The characteristics of both linear and nonlinear topologies are analyzed, and expressions are given for ...


Attitude towards Information Privacy Issues among Students of IIUM

Ibrahim Kalif Mohamud; Akram M. Zeki; Aznan Zuhid Saidin 2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 2015

The continuous rapid development of ICT will continue to raise new ethical issues and students are likely to have little understanding of the ethical issues associated with using ICT. Thus, the purpose of this research is to explore the attitude of the International Islamic University Malaysia' (IIUM) students' towards information ethics issues of privacy. This study also investigates the differences ...


Evaluation of the feasibility of a novel distance adaptable steady-state visual evoked potential based brain-computer interface

Chi-Hsu Wu; Heba Lakany 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 2015

Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has attracted great attention in BCI research due to its advantages over the other electroencephalography (EEG) based BCI paradigms, such as high speed, high signal to noise ratio, high accuracy, commands scalability and minimal user training time. Several studies have demonstrated that SSVEP BCI can provide a reliable channel to the ...


ICC statistic as criterion for classification and feature selection

K. Selkainaho; J. Pakkinen [1988 Proceedings] 9th International Conference on Pattern Recognition, 1988

A statistical method is suggested for data classification using the interclass correlation coefficient (ICC) statistics as a criterion function. The theory of the statistics is represented and its characteristics has been investigated. An algorithm for data classification using ICC is also described


More eLearning Resources

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IEEE-USA E-Books

  • Design and Analysis of Machine Learning Experiments

    This chapter contains sections titled: 19.1 Introduction, 19.2 Factors, Response, and Strategy of Experimentation, 19.3 Response Surface Design, 19.4 Randomization, Replication, and Blocking, 19.5 Guidelines for Machine Learning Experiments, 19.6 Cross-Validation and Resampling Methods, 19.7 Measuring Classifier Performance, 19.8 Interval Estimation, 19.9 Hypothesis Testing, 19.10 Assessing a Classification Algorithm's Performance, 19.11 Comparing Two Classification Algorithms, 19.12 Comparing Multiple Algorithms: Analysis of Variance, 19.13 Comparison over Multiple Datasets, 19.14 Notes, 19.15 Exercises, 19.16 References

  • Design and Analysis of Machine Learning Experiments

    This chapter contains sections titled: 19.1 Introduction, 19.2 Factors, Response, and Strategy of Experimentation, 19.3 Response Surface Design, 19.4 Randomization, Replication, and Blocking, 19.5 Guidelines for Machine Learning Experiments, 19.6 Cross-Validation and Resampling Methods, 19.7 Measuring Classifier Performance, 19.8 Interval Estimation, 19.9 Hypothesis Testing, 19.10 Assessing a Classification Algorithm's Performance, 19.11 Comparing Two Classification Algorithms, 19.12 Comparing Multiple Algorithms: Analysis of Variance, 19.13 Comparison over Multiple Datasets, 19.14 Multivariate Tests, 19.15 Notes, 19.16 Exercises, 19.17 References

  • Muscle Force and Myoelectric Manifestations of Muscle Fatigue in Voluntary and Electrically Elicited Contractions

    This chapter deals with the association between surface electromyography (sEMG) and force/fatigue and outlines this association, and the tools to study it. It considers myoelectric manifestations of muscle fatigue as investigation tools. The association between relative decrease of conduction velocity and relative decrease of spectral variables is based on the relations between conduction velocity and power spectrum and between fiber type and fiber size. Muscles are made of fibers which classified into three main types: slow oxidative fibers, fast oxidative glycolitic fibers, and fast glycolitic fibers. Analysis of variance (ANOVA), coefficient of variation (CoV), standard error of the mean (SEM), and intraclass correlation coefficient (ICC) are repeatability of sEMG measurements and fatigue indicators tools. The agreement between sEMG-based estimation of fatigue and perceived exertion, at least in isometric fatiguing contractions, is of considerable interest in occupational medicine.

  • Immune Cooperation Mechanism-Based Learning Framework

    Inspired from the immune cooperation (IC) mechanism in biological immune systems (BIS), this chapter presents an IC mechanism-based learning (ICL) framework. In this framework, a sample is expressed as an antigen-specific feature vector and an antigen-nonspecific feature vector, simulating the antigenic determinant and danger features in the BIS. The ICL framework simulates the BIS in the view of immune signals and takes full advantage of the cooperation effect of the immune signals, which improves the performance of the ICL framework. The ICL-MD model involves two modules, feature extraction and classification. In the malware detection problem, malware are taken as antigens, while benign programs are non-antigens. In order to ensure that the experimental results are reliable and the proposed ICL-MD model outperforms the GC-MD and LC-MD approaches statistically, an analysis of variance (ANOVA) was done followed by two t hypothesis tests (t-test). Comprehensive experimental results demonstrate that the ICL framework is an effective learning framework.

  • Production AST with Computers Using the Taguchi Method - Reprinted from Environmental Stress Testing Experiment Using the Taguchi Method, IEEE Transactions on Components, Packaging, and Manufacturing Technology, Part A, Vol. 18, No.1, pp. 39, with permission from the author and the IEEE, 1995.

    Manufacturing process improvements which increase productivity, decrease test process time, and improve customer satisfaction are highly desirable in today's marketplace. The application of environmental stress screening (ESS), i.e, Production AST, is a method of achieving these improvements. ESS is the application of stresses applied beyond product specification limits in order to find latent product defects. Utilizing ESS achieves increased robustness and lowers infant mortality. An experiment was performed to identify the significance or relevancy of the selected stresses for application in the printed wiring assembly (PWA) production process by using a statistically significant controlled method. The design of experiments statistical approach (analysis of variance) is applied, combined with the Taguchi two-level, seven- factor design method. This experiment concentrated on three stresses?-?temperature cycling, random vibration, and power cyling?-?and two diagnostic levels?-?a prom-based (programmable memory chip), power-on self test (POST), and a functional diagnostic test suite, contained on disk storage. This was not an optimization experiment. Once the significance to the production process is identified, future optimizing of temperature cycling, power cycling, and vibration screens will be conducted. Also, voltage margining was not included to reduce the complexity of the experiment- treatment factors and interactions. Experimental results and conclusions on the effectiveness of different stress regimens are presented in this chapter. Introduction Objectives Stress Overview Stress Screen Designs Experiment Overview The Taguchi Method Response Variable Results and Conclusions of the Taguchi Experiment Intra-Experiment Summary Taguchi Method Conclusion Terms Acknowledgments References

  • Statistical Methods

    This chapter contains sections titled: Statistical Inference Assessing Differences in Data Sets Bayesian Inference Predictive Regression Analysis of Variance Logistic Regression Log-Linear Models Linear Discriminant Analysis Review Questions and Problems References for Further Study



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