Conferences related to Statistical Analysis

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2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications


2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 26th Signal Processing and Communications Applications Conference (SIU)

The general scope of the conference ranges from signal and image processing to telecommunication, and applications of signal processing methods in biomedical and communication problems.

  • 2017 25th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing and Communication Applications (SIU) conference is the most prominent scientific meeting on signal processing in Turkey bringing together researchers working in signal processing and communication fields. Topics include but are not limited to the areas of research listed in the keywords.

  • 2016 24th Signal Processing and Communication Application Conference (SIU)

    Signal Processing Theory, Statistical Signal Processing, Nonlinear Signal Processing, Adaptive Signal Processing, Array and Multichannel Signal Processing, Signal Processing for Sensor Networks, Time-Frequency Analysis, Speech / Voice Processing and Recognition, Computer Vision, Pattern Recognition, Machine Learning for Signal Processing, Human-Machine Interaction, Brain-Computer Interaction, Signal-Image Acquisition and Generation, image Processing, video Processing, Image Printing and Presentation, Image / Video / Audio browsing and retrieval, Image / Video / Audio Watermarking, Multimedia Signal Processing, Biomedical Signal Processing and Image Processing, Bioinformatics, Biometric Signal-Image Processing and Recognition, Signal Processing for Security and Defense, Signal and Image Processing for Remote Sensing, Signal Processing Hardware, Signal Processing Education, Radar Signal Processing, Communication Theory, Communication Networks, Wireless Communications

  • 2015 23th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing Theory Statistical Signal Processing Nonlinear Signal Processing Adaptive Signal Processing Array and Multichannel Signal Processing Signal Processing for Sensor Networks Time-Frequency Analysis Speech / Voice Processing and Recognition Computer Vision Pattern Recognition Machine Learning for Signal Processing Human-Machine Interaction Brain-Computer Interaction Signal-Image Acquisition and Generation image Processing video Processing Image Printing and Presentation Image / Video / Audio browsing and retrieval Image / Video / Audio Watermarking Multimedia Signal Processing Biomedical Signal Processing and Image Processing Bioinformatics Biometric Signal-Image Processing and Recognition Signal Processing for Security and Defense Signal and Image Processing for Remote Sensing Signal Processing Hardware Signal Processing Education Radar Signal Processing Communication Theory Communication Networks Wireless Communications

  • 2014 22nd Signal Processing and Communications Applications Conference (SIU)

    SIU will be held in Trabzon, Turkey at the Karadeniz Technical University Convention and Exhibition Centre on April 23, 2014. SIU is the largest and most comprehensive technical conference focused on signal processing and its applications in Turkey. Last year there were 500 hundred participants. The conference will feature renowned speakers, tutorials, and thematic workshops. Topics include but are not limited to: Signal Procesing, Image Processing, Communication, Computer Vision, Machine Learning, Biomedical Signal Processing,

  • 2013 21st Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2012 20th Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing

  • 2007 IEEE 15th Signal Processing and Communications Applications (SIU)

  • 2006 IEEE 14th Signal Processing and Communications Applications (SIU)

  • 2005 IEEE 13th Signal Processing and Communications Applications (SIU)

  • 2004 IEEE 12th Signal Processing and Communications Applications (SIU)


2018 27th International Conference on Computer Communication and Networks (ICCCN)

Communications and Networks, Communication and Information Theory, Optical Networking, Networking for Sustainability and Energy Efficiency, Network Science and Social Networks, Internet Services and Applications, Multimedia, QoS and Traffic Modeling, Network Architecture and Clean-Slate Designs, Grid and Cloud Computing, Cognitive Radio Networks, Network Algorithms and Performance Evaluation, Security/Privacy/Trust, Sensor Networks/Embedded Systems/Pervasive Computing, Wireless Ad Hoc and Mesh Networks, Wireless LAN/Cellular/Heterogeneous Networks, Wireless Communication.


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Periodicals related to Statistical Analysis

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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.


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.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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-- ...


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Most published Xplore authors for Statistical Analysis

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Xplore Articles related to Statistical Analysis

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Using statistical analysis methods to predict switching stability

[{u'author_order': 1, u'affiliation': u'Northrop Grumman Corporation Electronic Systems, Rolling Meadows, IL 60008, USA', u'full_name': u'Carl M. Liebmann'}, {u'author_order': 2, u'affiliation': u'Northrop Grumman Corporation Electronic Systems, Rolling Meadows, IL 60008, USA', u'full_name': u'Martin Diorio'}] 2014 IEEE AUTOTEST, 2014

Switching reliability, repeatability and stability are crucial in Automated Test Equipment (ATE). There is an inherent variability in a mechanical switch and after an extended number of cycles, will cause an out tolerance condition. This could present itself as an intermittent test failure that will require isolation to the Unit Under Test (UUT) or the ATE. A method that could ...


A malicious code detection method based on statistical analysis

[{u'author_order': 1, u'affiliation': u'National Laboratory for Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, 410073, China', u'full_name': u'Yunlong Wu'}, {u'author_order': 2, u'affiliation': u'National Laboratory for Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, 410073, China', u'full_name': u'Chen Chen'}, {u'author_order': 3, u'affiliation': u'National Laboratory for Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, 410073, China', u'full_name': u'Huiquan Wang'}, {u'author_order': 4, u'affiliation': u'School of Computer, National University of Defense Technology, Changsha, Hunan, 410073, China', u'full_name': u'Jie Zhou'}, {u'author_order': 5, u'affiliation': u'National Laboratory for Parallel and Distributed Processing, School of Computer, National University of Defense Technology, Changsha, Hunan, 410073, China', u'full_name': u'Xinhai Xu'}] 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

The malicious code detection based on behaviors has proved effective. But there are high false positives and high false negatives when using this method. Because the behaviors are always out-of-order and redundant. To solve these problems, this paper proposes a detection method based on statistical analysis. Firstly, this method uses association rules to sort out the behaviors, and then we ...


A Novel Looseness Detection Method for Hydraulic Pipeline Clamp Based on Statistical Analysis

[{u'author_order': 1, u'affiliation': u'School of Information Engineering, Wuhan University of Technology Wuhan, China', u'full_name': u'Na Xiao'}, {u'author_order': 2, u'affiliation': u'School of Information Engineering, Wuhan University of Technology Wuhan, China', u'full_name': u'Ling Lu'}, {u'author_order': 3, u'affiliation': u'School of Information Engineering, Wuhan University of Technology Wuhan, China', u'full_name': u'Qin Wei'}, {u'author_order': 4, u'affiliation': u'School of Information Engineering, Wuhan University of Technology Wuhan, China', u'full_name': u'Feng Yang'}] 2018 9th International Conference on Mechanical and Aerospace Engineering (ICMAE), 2018

The pipeline is widely used in various kinds of mechanical equipment, usually fixed by the clamps. It is great important to detect the fixed clamps for the operation of equipment by signal processing. The time domain signal is quite popular in the field of signal processing. There are generally two major types of methods for analyzing time-domain signals. The one ...


Statistical analysis of large amount of power cables diagnostic data

[{u'author_order': 1, u'affiliation': u'Delft University of Technology, The Netherlands', u'full_name': u'Piotr Cichecki'}, {u'author_order': 2, u'affiliation': u'Delft University of Technology, The Netherlands', u'full_name': u'Edward Gulski'}, {u'author_order': 3, u'affiliation': u'Delft University of Technology, The Netherlands', u'full_name': u'J.J. Smit'}, {u'author_order': 4, u'affiliation': u'Delft University of Technology, The Netherlands', u'full_name': u'R. Jongen'}, {u'author_order': 5, u'affiliation': u'SebaKMT, Germany', u'full_name': u'Frank Petzold'}] 2008 International Conference on Condition Monitoring and Diagnosis, 2008

In this contribution statistical analysis were applied to evaluate condition of serviced aged MV power cables systems. Analysis were based on large number of diagnostic data as obtained from the on-site inspections of 89 mass insulated power cables, 26 XLPE insulated power cables and 126 mixed-insulated power cable. Statistical analysis input data was represented with several diagnostic parameters regarding to ...


Anatomically adapted wavelets for integrated statistical analysis of fMRI data

[{u'author_order': 1, u'affiliation': u'Program in Applied and Computational Mathematics, Princeton University, NJ, USA', u'full_name': u'S. G\xf6rkem \xd6zkaya'}, {u'author_order': 2, u'affiliation': u'Medical Image Processing Lab, Ecole Polytechnique F\xe9d\xe9rale de Lausanne, Switzerland', u'full_name': u'Dimitri Van De Ville'}] 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Wavelets have been successfully used in statistical analysis of fMRI data as a spatial transform providing a compact representation of brain activation maps. However, conventional (tensor-product) wavelet transforms assume a rectangular domain, while the essential brain activity takes place in the convoluted gray- matter layer. We use the lifting scheme to design wavelet bases for more arbitrary domains which do ...


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Educational Resources on Statistical Analysis

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eLearning

No eLearning Articles are currently tagged "Statistical Analysis"

IEEE.tv Videos

The eXtensible Event Stream (XES) standard
26th Annual MTT-AP Symposium and Mini Show - Dr. Ajay Poddar
Vladimir Cherkassky - Predictive Learning, Knowledge Discovery and Philosophy of Science
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
IMS 2011 Microapps - A Practical Approach to Verifying RFICs with Fast Mismatch Analysis
IMS MicroApps: Multi-Rate Harmonic Balance Analysis
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
IMS 2011 Microapps - Yield Analysis During EM Simulation
IMS 2011 Microapps - Tools for Creating FET and MMIC Thermal Profiles
Zohara Cohen AMA EMBS Individualized Health
Spectrum Analysis: RF Boot Camp
Dictionary Learning: Principles, Algorithms, Guarantees
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
IMS 2012 Microapps - Generation and Analysis Techniques for Cost-efficient SATCOM Measurements Richard Overdorf, Agilent
A Flexible Testbed for 5G Waveform Generation and Analysis: MicroApps 2015 - Keysight Technologies
Vladimir Vapnik accepts the IEEE John Von Neumann Medal - Honors Ceremony 2017
IMS 2011 Microapps - Remcom's XFdtd and Wireless InSite: Advanced Tools for Advanced Communication Systems Analysis
IMS 2011 Microapps - STAN Tool: A New Method for Linear and Nonlinear Stability Analysis of Microwave Circuits
Micro-Apps 2013: Power Added Efficiency (PAE) Analysis with 8990B Peak Power Analyzer
Louis Scharf - Honors Ceremony 2016 Red Carpet Interview

IEEE-USA E-Books

  • Results from Statistical Analysis on Organized Raids

    None

  • Noise Reduction ‐ Statistical Analysis and Control of Musical Noise

    This chapter contains sections titled:IntroductionSpeech Enhancement in the DFT DomainMeasurement and Assessment of Unnatural FluctuationsAvoidance of Processing ArtifactsControl of Spectral Fluctuations in the Cepstral DomainDiscussion and ConclusionsAcknowledgementsAppendixBibliography

  • Digital Image Forensics with Statistical Analysis

    A large number of forensic methods have been developed in the past decade to answer a broad range of forensic questions. Most image forensic tools can be divided into only two simple categories: semantics-based detection and non- semantics-based detection. This chapter first focuses on the non-semantics- based detection techniques as majority of existing image forensic tools fall into this category. The non-semantics-based detection tools mostly rely on the modelling of statistical patterns of the image using signal-level information. The chapter introduces several recently developed techniques to address two critical topics in the field of multimedia security: detecting region duplication and exposing splicing forgery. It talks about a method for reliable detection of duplicated image regions and an effective image splicing detection algorithm. More realistic case studies for these two techniques are demonstrated. These techniques are further extended to expose forgeries in audio and video signal.

  • 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

  • Chronology

    No Abstract.

  • Testery Methods 1942-44

    This chapter presents the Testery Methods of 1942-44. The original method of key breaking became useless as soon as the Germans introduced the conditionab= 1/2. So research was done by A.M. Turing on the key from which the wheels had been broken by the indicator-cum-depth method, and a method was evolved which produced the correct wheels. Turingery introduced the principle that key differenced at one could yield information unobtainable from ordinary key. This principle was to be the fundamental basis of nearly all statistical methods of wheel-breaking and setting. Many improvements and refinements of technique have since been made enabling very much shorter lengths of key to be broken than the 500 or more required by original Turingery. The original method of modern wheel-breaking from key is described here. The description gives a certain amount of rationalisation of the process which could certainly not have been given at the time since the principles involved had not been studied and understood to the extent that they were later.

  • Eras of Software Engineering Technology Transfer

    This chapter talks about the eras of technology transfer: rational era, empirical era, and back-to-basics era. Any Fortran programmer of the 1960s quickly saw that it was more efficient and reliable to call a built-in sine function than to write one from scratch. This was a rational approach. In the late 1980s, people began to preach that before adopting any?>new?> method or tool, one must first measure its effect. Before a method X is introduced into the process, a statistical baseline for the current performance must be determined, then X is used, and then another statistical analysis should be done to compare the?>before?> and?>after?>. This was the empirical approach. It is predicted that software engineering will soon move toward a synthesis of rationalism and empiricism. This will happen in the back-to-basic era, and could be guided by tenets.

  • Hand Statistical Methods

    This chapter provides an introduction to the QEP (QSN) system. October 1942 witnessed a complete change in the nature of the Tunny traffic. The Tunny link itself closed down, and it was for a time supposed that the Germans had abandoned the?>Tunny?> cipher machine. Two other teleprinter links (called Codfish and Octopus) came into operation at this time, and it was shown, by the analysis of depths of three that both these links were using the?>Tunny?> machine. These links did not transmit twelve letter indicators, but only a?>QSN?> number. Messages having the same QSN number on the same day and belonging to the same link were, it was found, in depth. Messages were soon being sent in greater numbers than ever, but now only those messages which were in depth with others could be read. So during the first half of the year 1943, the Tunny Section confined itself to the reading of depths.

  • General Report on Tunny: With Emphasis on Statistical Methods

    No Abstract.

  • Some Historical Notes

    This chapter covers all aspects of the first stages in Tunny machine development, early organisation and difficulties and period of expansion. The idea of breaking single Tunny messages without depth by statistical methods was first propounded in 1942. M.H.A. Newman first carried out the idea of using electronic counters in these processes at a practically useful speed, and then 1942 he was given the task of developing machine methods of setting TUNNY. A number of schemes were considered, including that of sliding photographic plates over each other, a method later perfected in U.S. It was soon settled that the best machine for the early experimental stages was one which read a?>message-tape?> and a?>wheel-tape?> photo-electrically, and combined them electrically before counting. Then came the?>Heath Robinson?> amply satisfied the demands for flexibility, and there can be little doubt that the opportunities it gave for trying new techniques at this crucial stage played a decisive part in the later successes of Colossus. The Tunny network had grown, the value of the contents had raised the traffic to the highest level, and the tightening up of German precautions against?>depths?> had caused production by?>hand?> setting methods to sink almost to zero.



Standards related to Statistical Analysis

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Guide for Developing and Assessing Reliability Predictions Based on IEEE Standard 1413

The scope of this document is to provide guidance for conducting and assessing reliability predictions (techniques and methods) for electronic products and systems.


Guide for the statistical analysis of electrical insulation breakdown data


IEEE Guide for Selecting and Using Reliability Predictions Based on IEEE 1413

Processes and methodologies for conducting reliability predictions for electronic systems and equipment.


IEEE Guide for the Statistical Analysis of Electrical Insulation Breakdown Data

To prepare a guide describing statistical methods to analyze breakdown test data (at constant or increasing voltage) for purposes including characterization of an insulation system, comparison with other systems and prediction of the probability of breakdown at given times or voltages. The statistical methods included in the guide are based on Weibull, lognormal and Gumbel distributions.


IEEE Guide for the Statistical Analysis of Thermal Life Test Data


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