Conferences related to Statistical Analysis

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2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2022 59th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2021 58th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2020 57th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2018 55th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC Description for TMRF The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading

  • 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 session on design methodologies and EDA tool developments, keynotes, panels, plus User Track presentations. A diverse worldwide community representing more than 1,000 organization attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2012 49th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers

  • 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference is the world s leading technical conference and tradeshow on electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business.

  • 2010 47th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers.

  • 2009 46th ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC is the premier event for the electronic design community. DAC offers the industry s most prestigious technical conference in combination with the biggest exhibition, bringing together design, design automation and manufacturing market influencers.

  • 2008 45th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 250 of the leading electronics design suppliers.

  • 2007 44th ACM/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier Electronic Design Automation (EDA) and silicon solution event. DAC features over 50 technical sessions covering the latest in design methodologies and EDA tool developments and an Exhibition and Demo Suite area with over 250 of the leading EDA, silicon and IP Providers.


2017 Annual Reliability and Maintainability Symposium (RAMS)

Tutorials and original papers on reliability, maintainability, safety, risk management, and logistics


2014 International Radar Conference (Radar)

Radar 2014 cover all aspects of radar systems for civil, security and defence application. Waveform design, beamforming, signal processing, Emerging applications and technologies, sub-systems technologies, Radar environment.

  • 2012 International Radar Conference (Radar)

    Radar Environment/Phenomenology, Radar Systems, Remote Sensing from Airborne/Spaceborne Systems, Waveform Design, Beamforming/Signal Processing, Emerging Applications, Advanced Sub-Systems, Computer Modelling, Simulation/Validation.

  • 2011 IEEE CIE International Conference on Radar (Radar)

    This series of successfully organized international conference on radar shows the very fruitful cooperation between IEEE AESS, IET/UK, SEE/France, EA/Australia CIE/China, and the academy societies of other countries , such as Germany, Russia, Japan, Korea and Poland. Radar 2011 is a forum of radar engineers and scientists from all over the world. The conference topics of Radar 2011 will cover all aspects of radar system for civil and defense applications.

  • 2009 International Radar Conference Radar "Surveillance for a Safer World" (RADAR 2009)

    The conference will focus on new research and developments in the field of radar techniques for both military and civil applications. Topics to be covered at Radar 2009 include: Radar Environment and Phenomenology Radar Systems Remote Sensing from Airborne or Spaceborne Systems Waveform Design, Beamforming and Signal Processing Emerging Radar Applications Emerging Technologies Advanced Sub-Systems Technologies Computer Modeling, Simulation and V


2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)

ASP-DAC 2013 is the eighteenth annual international conference on VLSI design automation in Asia and South Pacific region, one of the most active regions of design and fabrication of silicon ships in the world.


2013 ICME International Conference on Complex Medical Engineering (CME)

The objective of CME 2013 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The objective of CME 2012 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The aim of the conference is to bring together researchers, engineers and practitioners from diverse fields to stimulate future research and development of new theory, approaches, and tools in the field of Complex Medical Engineering.

  • 2011 ICME International Conference on Complex Medical Engineering - CME 2011

    The objective of CME 2011 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2010 ICME International Conference on Complex Medical Engineering - CME 2010

    TBD

  • 2009 ICME International Conference on Complex Medical Engineering - CME 2009

    The aim of CME 2009 is to bring together researchers and practitioners from diverse fields to promote scientific research and industrial development in the field of complex medical engineering. The conference will consist of workshops, special sessions, tutorials and keynote presentations from renowned experts.

  • 2007 IEEE/ICME International Conference on Complex Medical Engineering - CME 2007


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Periodicals related to Statistical Analysis

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Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Reliability, IEEE Transactions on

Principles and practices of reliability, maintainability, and product liability pertaining to electrical and electronic equipment.


Semiconductor Manufacturing, IEEE Transactions on

Addresses innovations of interest to the integrated circuit manufacturing researcher and professional. Includes advanced process control, equipment modeling and control, yield analysis and optimization, defect control, and manufacturability improvement. It also addresses factory modelling and simulation, production planning and scheduling, as well as environmental issues in semiconductor manufacturing.



Most published Xplore authors for Statistical Analysis

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Xplore Articles related to Statistical Analysis

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LOST: Longterm Observation of Scenes (with Tracks)

Austin Abrams; Jim Tucek; Joshua Little; Nathan Jacobs; Robert Pless 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, for over a year. LOST contains rich metadata, including geolocation, day-by-day weather annotation, object detections, and tracking results. We believe that sharing this dataset opens opportunities for computer vision research involving very long-term outdoor ...


Predicting Future High-Cost Patients: A Real-World Risk Modeling Application

Sai T. Moturu; William G. Johnson; Huan Liu 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Health care data from patients in the Arizona Health Care Cost Containment System, Arizona's Medicaid program, provides a unique opportunity to exploit state-of-the-art data processing and analysis algorithms to mine the data and provide actionable results that can aid cost containment. This work addresses specific challenges in this real-life health care application to build predictive risk models for forecasting future ...


The statistical distribution of switch-on delay in single-mode semiconductor lasers I: equilibrium off-condition

G. H. B. Thompson; J. H. Fraser; B. Garrett IEEE Journal of Quantum Electronics, 1995

The theory of stochastic processes as applied to photon emission and absorption events is used to calculate the distribution of delay in switch-on from a sub-threshold condition in directly modulated semiconductor lasers down to a probability of 10-10. This involves the derivation of the relative probability distribution of photon number in the laser late enough in the switch-on process such ...


SASI: a new texture descriptor for content based image retrieval

A. Carkacioglu; F. Yarman-Yural Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001

A new texture descriptor, namely, statistical analysis of structural information (SASI) is introduced as a representation of texture. SASI is based on the statistics of clique autocorrelation functions calculated over a set of directional moving windows. SASI defines a set of windows to extract and measure various structural properties of texture by using a spatial multiresolution method. Although it works ...


Restoration of images via self-organizing feature map

K. Yamauchi; M. Takeichi; N. Ishii Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, 1999

S. Geman and D. Geman (1984) presented a basic statistical method for image restoration. In the method, the system searches an image X which makes a posterior probability p(X|Y) maximum, where Y is a noisy image given as an input. Using a Bayesian method, the posterior probability is rewritten as log p(X|Y)∝log p(X)+log p(Y|X), where p(X) and p(Y|X) are prior ...


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Educational Resources on Statistical Analysis

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eLearning

LOST: Longterm Observation of Scenes (with Tracks)

Austin Abrams; Jim Tucek; Joshua Little; Nathan Jacobs; Robert Pless 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, for over a year. LOST contains rich metadata, including geolocation, day-by-day weather annotation, object detections, and tracking results. We believe that sharing this dataset opens opportunities for computer vision research involving very long-term outdoor ...


Predicting Future High-Cost Patients: A Real-World Risk Modeling Application

Sai T. Moturu; William G. Johnson; Huan Liu 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Health care data from patients in the Arizona Health Care Cost Containment System, Arizona's Medicaid program, provides a unique opportunity to exploit state-of-the-art data processing and analysis algorithms to mine the data and provide actionable results that can aid cost containment. This work addresses specific challenges in this real-life health care application to build predictive risk models for forecasting future ...


The statistical distribution of switch-on delay in single-mode semiconductor lasers I: equilibrium off-condition

G. H. B. Thompson; J. H. Fraser; B. Garrett IEEE Journal of Quantum Electronics, 1995

The theory of stochastic processes as applied to photon emission and absorption events is used to calculate the distribution of delay in switch-on from a sub-threshold condition in directly modulated semiconductor lasers down to a probability of 10-10. This involves the derivation of the relative probability distribution of photon number in the laser late enough in the switch-on process such ...


SASI: a new texture descriptor for content based image retrieval

A. Carkacioglu; F. Yarman-Yural Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001

A new texture descriptor, namely, statistical analysis of structural information (SASI) is introduced as a representation of texture. SASI is based on the statistics of clique autocorrelation functions calculated over a set of directional moving windows. SASI defines a set of windows to extract and measure various structural properties of texture by using a spatial multiresolution method. Although it works ...


Restoration of images via self-organizing feature map

K. Yamauchi; M. Takeichi; N. Ishii Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, 1999

S. Geman and D. Geman (1984) presented a basic statistical method for image restoration. In the method, the system searches an image X which makes a posterior probability p(X|Y) maximum, where Y is a noisy image given as an input. Using a Bayesian method, the posterior probability is rewritten as log p(X|Y)∝log p(X)+log p(Y|X), where p(X) and p(Y|X) are prior ...


More eLearning Resources

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IEEE-USA E-Books

  • Sampling and Analysis Methods

    This chapter contains sections titled: Introduction Classification of Analysis Methods Sampling of Contaminants in Air, in Liquids, and on Surfaces Organic Contamination Analysis Methods Ionic and Inorganic Contamination Analysis Methods Electrostatic Discharge Methods Numerical Simulation Algebraic Predictive Modeling Statistical Analysis Methods Additional Reading References and Notes

  • No title

    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 reas 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

  • Principles of Substrate Crosstalk Generation in CMOS Circuits

    Substrate noise injection is evaluated for a O.2S-µm CMOS technology, to determine the mechanisms that contribute to substrate crosstalk. At the transistor level, we find that impact ionization current and capacitive coupling from the junctions are the most significant contributors to substrate current injection. An investigation of substrate fluctuations at a circuit level included switching transients, capacitive damping, and separate substrate biasing. This investigation revealed that voltage transients on power-supply lines can be the dominant source of substrate fluctuations. Finally, a statistical analysis of signal cancellation in an integrated circuit was performed. The results indicate that more cancellation will take place for the high-frequency noise components than for the average and low- frequency components. As a consequence, the de and low-frequency components of the transient that results from an individual switching event can not be neglected even if they are a relatively small fraction of the single transient.

  • No title

    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 issue 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 engi eering 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

  • QuasiFluidMechanicsBased QuasiBayesian CramrRao Bounds for Deformed TowedArray Direction Finding

    New quasi-Bayesian (hybrid) Cramér-Rao bound (CRB) expressions are herein derived for far-field deep-sea direction-of-arrival (DOA) estimation with a nominally linear towed-array that 1) is deformed by spatio-temporally correlated oceanic currents, which have been previously overlooked in the towed-array shape-deformation statistical analysis literature, 2) is deformed by temporally correlated motion of the towing vessel, which is modeled only as temporally uncorrelated in prior literature, and 3) sutTers gain-uncertainties and phase-uncertainties in its constituent hydrophones. This paper attempts to bridge an existing literature gap in deformed towed-array DOA-estimation performance analysis, by simultaneously a) incorporating several essential fluid-mechanics considerations to produce a shape-deformation statistical model physically more realistic than those previously used for DOA performance analysis and b) rigorously derive a mathematical analysis to characterize quantitatively and qualitatively the DOA stimation's statistical performance. The derived CRB expressions are parameterized in terms of the towed-array's physically measurable nonidealities for the single-source case. The new hybrid-CRB expressions herein derived are numerically more stable than those in the current literature.

  • On the SelfSimilar Nature of Ethernet Traffic (Extended Version)

    We demonstrate that Ethernet LAN traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fraetal-like behavior, that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based networks, and that aggregating streams of such traffic typically intensifies the self-similarity (burstiness) instead of smoothing It. Our conclusions are supported by a rigorous statistical analysis of hundreds of millions of high quality Ethernet traffic measurements collected between 1989 and 1992, coupled with a discussion of the underlying mathematical and statistical properties of self-similarity and their relationship with actual network behavior. We also present traffic models based on self-similar stochastic processes that provide simple, accurate, and realistic descriptions of traffic scenarios expected during B-ISDN deployment.

  • Applications in Movement and Gait Analysis

    Motion analysis is based on measuring trajectories, rotations of joints, torque values, temporal events, and muscle activities. Force plates embedded in the floors of motion analysis laboratories measure force transfer between foot and ground during gait. Kinematics, kinetics, and surface electromyography (sEMG) are used to identify the causes of motion impairment and the resulting compensatory movements, thus enhancing clinical assessment and supporting decisions such as choice of surgery, orthoses, and rehabilitation protocols. Surface EMG can provide information on the origin of motion produced by muscle activation. EMG during task execution enables muscle activities to be assessed rather than inferred from a combination of observation of movements and clinical evaluation performed under static conditions. To ensure data reliability in applications of motion analysis, raw sEMG data on a fixed y-axis scale must be checked before five criteria: filtering, envelope computation, data normalization, clinical report creation, and statistical analysis for research purposes.

  • 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.

  • Improve System Performance with Large¿¿?Scale Variable Generation Addition

    This chapter presents several methods to predict the balancing reserve needs and their characteristics, required from conventional generation and other resources, and indicate how to obtain these additional flexibility resources, to quantify the flexibility need. It applies a multivariate statistical analysis to provide a concurrent consideration on the capacity, ramping, and ramp duration requirements of the regulation and load following. The chapter presents three innovations to evaluate the flexibilities needed in the presence of variable generation and how to allocate them accordingly. Firstly, a methodology of predicting the impact of wind and solar generation, uninstructed unit deviations, and load uncertainties on the next operating day regulation requirements. Secondly, a methodology and software tool for evaluating the wind and solar generation load uncertainties, as well as unexpected generation outages. Finally, a method to determine the monthly regulation service requirement, which considers the impact of increasing wind generation.

  • 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.



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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