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Statistics is the study of the collection, organization, and interpretation of data. (Wikipedia.org)






Conferences related to Statistics

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 52nd Annual Conference on Information Sciences and Systems (CISS)

The scope includes theoretical advances, applications, and ideas in the fields of information sciences and systems including: Information Theory,Coding Theory, Image Processing, Communications, Signal Processing, Machine Learning, Statistical Inference,, Security and Privacy, Energy Systems, Networking, Systems and Control, Biological Systems


2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)

The conference will provide a forum for discussions and presentations of advancements in knowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.


2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

The technical scope of VTC2018-Spring includes:Ad-hoc, Mesh, and Sensor NetworksAntennas and Propagation and RF DesignCognitive Radio and Spectrum SensingCooperative Communications, Distributed MIMO and RelayingMobile Networks, Applications and ServicesMultiple Antenna Systems and ServicesSatellite Networks, Positioning Technologies, Localization and NavigationTransmission Technologies and Communication TheoryTransportation, Vehicular Networks, and Vehicular Electronics and Telematics; Wireless AccessWireless Networks and SecurityHealth, Body-Area and Medical Device NetworksGreen NetworksMedium access control and routing protocolsNarrowband, wideband and ultra-widebandPHY and MAC layer designChannel modeling, equalization, synchronization, modulation and codingOFDM, CDMA, WiMAXLTE AdvancedITS, Car-to-car, and Car-to-X


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Periodicals related to Statistics

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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.


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Most published Xplore authors for Statistics

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Xplore Articles related to Statistics

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Design of low rank estimators for higher-order statistics based on the second-order statistics

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA', u'full_name': u'I. Bradaric'}, {u'author_order': 2, u'full_name': u'A.P. Petropulu'}] Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99, 1999

Higher-order statistics (HOS) are well known for their robustness to additive Gaussian noise and their ability to preserve phase. HOS estimates on the other hand, have been criticised for high complexity and the need of long data in order to maintain low variance. Rank reduction offers a general principle for reduction of estimator variance and complexity. In this paper we ...


An emerging alliance: higher order statistics should partner conventional statistics in digital signal processing applications

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK', u'full_name': u'J. Chambers'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK', u'full_name': u'T. Stathaki'}] IEE Colloquium on Higher Order Statistics in Signal Processing: Are They of Any Use?, 1995

The conjecture of the paper is that higher order statistics are best used in combination with conventional second order statistics; not in isolation. This is demonstrated by showing some established and new examples where this proposal has been utilised. A conventional, second order, spectral estimator stabilises the statistical performance of higher order spectral estimation techniques. The performance of an adaptation ...


Big data for government policy: Potential implementations of bigdata for official statistics in Indonesia

[{u'author_order': 1, u'affiliation': u'Center for Computational Statistics Studies, Institute of Statistics, Jakarta Indonesia', u'full_name': u'Setia Pramana'}, {u'author_order': 2, u'affiliation': u'Center for Computational Statistics Studies, Institute of Statistics, Jakarta Indonesia', u'full_name': u'Budi Yuniarto'}, {u'author_order': 3, u'affiliation': u'Center for Computational Statistics Studies, Institute of Statistics, Jakarta Indonesia', u'full_name': u'Robert Kurniawan'}, {u'author_order': 4, u'affiliation': u'Center for Computational Statistics Studies, Institute of Statistics, Jakarta Indonesia', u'full_name': u'Ricky Yordani'}, {u'author_order': 5, u'affiliation': u'United Nations Global Pulse Lab, Jakarta, Indonesia', u'full_name': u'Jonggun Lee'}, {u'author_order': 6, u'affiliation': u'United Nations Global Pulse Lab, Jakarta, Indonesia', u'full_name': u'Imaduddin Amin'}, {u'author_order': 7, u'affiliation': u'United Nations Global Pulse Lab, Jakarta, Indonesia', u'full_name': u'P. P. Ni Luh Putu Satyaning'}, {u'author_order': 8, u'affiliation': u'United Nations Global Pulse Lab, Jakarta, Indonesia', u'full_name': u'Yulistina Riyadi'}, {u'author_order': 9, u'affiliation': u'BPS-Statistics Indonesia Directorate of Finance, Information Technology, and Tourism Statistics', u'full_name': u'Atika Nashirah Hasyyati'}, {u'author_order': 10, u'affiliation': u'BPS-Statistics Indonesia Directorate of Finance, Information Technology, and Tourism Statistics', u'full_name': u'Rina Indriani'}] 2017 International Workshop on Big Data and Information Security (IWBIS), 2017

Big Data is an umbrella term for explosion in the quantity and diversity of high frequency digital data and it is not usually coming from traditional sources. The speed and frequency by which data is produced and collected - by an increasing number of sources - is responsible for today's data deluge: the amount of available digital data is projected ...


Isolated word recognition using high-order statistics and time-delay neural networks

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Iran', u'full_name': u'M.R. Ashouri'}] Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 1997

In this paper, two isolated word recognition methods based on high-order statistics and a time-delay neural network (TDNN) for recognition of Farsi spoken digits have been studied. The adopted speech recognition system consists of four modules, namely, a preprocessor, endpoints' detector, feature extractor and classifier. The first method estimates the AR parameters of speech based on the third- and fourth-order ...


Variability in higher order statistics of measured shallow-water shipping noise

[{u'author_order': 1, u'affiliation': u'Naval Res. Lab., Stennis Space Center, MS, USA', u'full_name': u'L.A. Pflug'}, {u'author_order': 2, u'full_name': u'G.E. Ioup'}, {u'author_order': 3, u'full_name': u'J.W. Ioup'}, {u'author_order': 4, u'full_name': u'P. Jackson'}] Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 1997

Many underwater acoustic signal processing algorithms are designed for use in stationary and/or Gaussian noise. While these assumptions are often valid for applications in deep water ocean areas, they may not be appropriate for shallow water areas, especially in the presence of local shipping activity. Local shipping also produces spatial correlation in the noise and introduces additional complexity for multichannel ...


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Educational Resources on Statistics

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IEEE-USA E-Books

  • Introduction to Statistics for Biomedical Engineers

    There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this text should have sufficient vocabulary to read more advanced texts on statistics and further their knowledge about additional numerical analyses that are used in the biomedical engineering field but are beyond the scope of this text. This book is designed to supplement an undergraduate-level course in applied statistics, specifically in biomedical engineering. Practicing engineers who have not had formal instruction in statistics may also use this text as a simple, brief introduction to statistics used in biomedical engineering. The emphasis is on the application of statistics, the assumptions made in applying the statistical tests, the limitations of these elementary statistical methods, and the errors often committed in using statistical analysis. A number of examples from biomedical engineering research and industry practice are provided to assist the reader in understanding concepts and application. It is beneficial for the reader to have some background in the life sciences and physiology and to be familiar with basic biomedical instrumentation used in the clinical environment. Contents: Introduction / Collecting Data and Experimental Design / Data Summary and Descriptive Statistics / Assuming a Probability Model from the Sample Data / Statistical Inference / Linear Regression and Correlation Analysis / Power Analysis and Sample Size / Just the Beginning / Bibliography

  • Perturbations, Optimization, and Statistics

    This chapter contains sections titled: Half Title, Neural Information Processing Series, Title, Copyright, Contents, Preface

  • Information Theory and Statistics: A Tutorial

    Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background. Also, an introduction is provided to the theory of universal coding, and to statistical inference via the minimum description length principle motivated by that theory. The tutorial does not assume the reader has an in-depth knowledge of Information Theory or statistics. As such, Information Theory and Statistics: A Tutorial, is an excellent introductory text to this highly-important topic in mathematics, computer science and electrical engineering. It provides both students and researchers with an invaluable resource to quickly get up to speed in the field.

  • Statistics is Easy!

    Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution- independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then systematically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Bias Corrected Confidence Intervals / Pragmatic Considerations When Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References

  • Statistics is Easy! 2nd Edition

    Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution- independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B

  • Appendix F: Relevant Statistics

    None

  • Statistics

    This chapter contains sections titled: * Probability and Frequency * Ungrouped Data * Grouped Data * Statistical Coefficients * Curve Fitting, Regression, and Correlation

  • Data Representations, Transformations, and Statistics for Visual Reasoning

    Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and areas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics. Table of Contents: Data Types / Color Schemes / Data Preconditioning / Visual Representations and Analysis / Summary

  • Fundamentals of Probability and Statistics

    This chapter contains sections titled: * Concept of Frequency * Important Parameters of Frequency Distribution * Theory of Probability * Probability Distribution Model * Sampling Theory * Statistical Decision Making * Conclusions * References ]]>

  • Event Statistics

    This chapter contains sections titled: * Interruptions * Voltage Dips: Site Indices * Voltage Dips: Time Aggregation * Voltage Dips: System Indices * Summary and Conclusions ]]>



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