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Statistical Models and Methods for Lifetime Data

Statistical Models and Methods for Lifetime Data PDF Author: Jerald F. Lawless
Publisher: John Wiley & Sons
ISBN: 1118031253
Category : Mathematics
Languages : en
Pages : 662

Book Description
Praise for the First Edition "An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ." -Choice "This is an important book, which will appeal to statisticians working on survival analysis problems." -Biometrics "A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook." -Statistics in Medicine The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts. New and expanded coverage in this edition includes: * Observation schemes for lifetime data * Multiple failure modes * Counting process-martingale tools * Both special lifetime data and general optimization software * Mixture models * Treatment of interval-censored and truncated data * Multivariate lifetimes and event history models * Resampling and simulation methodology

Statistical Models and Methods for Lifetime Data

Statistical Models and Methods for Lifetime Data PDF Author: Jerald F. Lawless
Publisher: John Wiley & Sons
ISBN: 1118031253
Category : Mathematics
Languages : en
Pages : 662

Book Description
Praise for the First Edition "An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ." -Choice "This is an important book, which will appeal to statisticians working on survival analysis problems." -Biometrics "A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook." -Statistics in Medicine The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts. New and expanded coverage in this edition includes: * Observation schemes for lifetime data * Multiple failure modes * Counting process-martingale tools * Both special lifetime data and general optimization software * Mixture models * Treatment of interval-censored and truncated data * Multivariate lifetimes and event history models * Resampling and simulation methodology

Lifetime Data: Models in Reliability and Survival Analysis

Lifetime Data: Models in Reliability and Survival Analysis PDF Author: Nicholas P. Jewell
Publisher: Springer Science & Business Media
ISBN: 1475756542
Category : Mathematics
Languages : en
Pages : 392

Book Description
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).

Lifetime Analysis by Aging Intensity Functions

Lifetime Analysis by Aging Intensity Functions PDF Author: Magdalena Szymkowiak
Publisher: Springer
ISBN: 3030121070
Category : Technology & Engineering
Languages : en
Pages : 224

Book Description
This book addresses a range of aging intensity functions, which make it possible to measure and compare aging trends for lifetime random variables. Moreover, they can be used for the characterization of lifetime distributions, also with bounded support. Stochastic orders based on the aging intensities, and their connections with some other orders, are also discussed. To demonstrate the applicability of aging intensity in reliability practice, the book analyzes both real and generated data. The estimated, properly chosen, aging intensity function is mainly recommended to identify data’s lifetime distribution, and secondly, to estimate some of the parameters of the identified distribution. Both reliability researchers and practitioners will find the book a valuable guide and source of inspiration.

Child Data Citizen

Child Data Citizen PDF Author: Veronica Barassi
Publisher: MIT Press
ISBN: 0262044714
Category : Computers
Languages : en
Pages : 233

Book Description
An examination of the datafication of family life--in particular, the construction of our children into data subjects. Our families are being turned into data, as the digital traces we leave are shared, sold, and commodified. Children are datafied even before birth, with pregnancy apps and social media postings, and then tracked through babyhood with learning apps, smart home devices, and medical records. If we want to understand the emergence of the datafied citizen, Veronica Barassi argues, we should look at the first generation of datafied natives: our children. In Child Data Citizen, she examines the construction of children into data subjects, describing how their personal information is collected, archived, sold, and aggregated into unique profiles that can follow them across a lifetime.

The Power of [alpha]

The Power of [alpha] PDF Author: Malcolm H. MacGregor
Publisher: World Scientific
ISBN: 9812708367
Category : Business & Economics
Languages : en
Pages : 459

Book Description
This book is centered on the most pressing unsolved problem in elementary particle physics OCo the mass generation of particles. It contains physics that is not included in the Standard Model as it is now formulated, while at the same time being in conformity with the major results of the Standard Model, i.e. isotopic spins and interactions. It differs from the Standard Model in the treatment of masses and pseudoscalar mesons, and in the role assigned to the coupling constant ?. Presented in a careful and phenomenological way, the material can easily be followed by all physicists, both experimental and theoretical, and also by interested workers in other fields. The authorOCOs website OCo 70mev.org OCo gives additional information about the applications of the constant ? in particle physics."

Connect

Connect PDF Author: Lars Birkholm Petersen
Publisher: John Wiley & Sons
ISBN: 111896361X
Category : Business & Economics
Languages : en
Pages : 272

Book Description
Connect and engage across channels with the new customers Connect is the ultimate marketing guide to becoming more relevant, effective, and successful within the new marketplace. Written by a team of marketing experts serving Fortune 500 brands, this book outlines the massive paradigm shift currently taking place within the industry, and provides the insight and perspective marketers need to stay on board. Readers will find guidance toward reaching a customer base that sees marketers as an unnecessary annoyance, and strategies for engaging those customers at touch points throughout the customer lifecycle. The book's scope encompasses both digital and real-life avenues, discussing the new ways of thinking and the new tools and processes that allow marketers to function in the new era where digital customer experiences are increasingly important. Marketing is undergoing a revolution to rival the impact of Gutenberg's printing press. Customers are in control, with more choice and more access than ever before, and they refuse to be "sold to" or "managed." Many marketing professionals are flailing for a new strategy while the winners are clearly jumping ahead – Connect takes readers inside the winners' world to learn the approach that's engaging the new consumer. Discover the technology and processes that allow marketers to remain relevant Craft a personal, relevant, and accessible customer journey that engages the connected customer Keep in touch throughout the customer's life cycle, both online and offline Link digital goals and metrics to business objectives for a more relevant strategy Smart marketers have moved to a higher level that achieves business objectives while increasing relevance to the customer. Connect provides readers a roadmap to this new approach, and the tools that make it work.

Storytelling with Data

Storytelling with Data PDF Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 1119002265
Category : Mathematics
Languages : en
Pages : 284

Book Description
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Statistical Modeling for Degradation Data

Statistical Modeling for Degradation Data PDF Author: Ding-Geng (Din) Chen
Publisher: Springer
ISBN: 9811051941
Category : Mathematics
Languages : en
Pages : 382

Book Description
This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.

Robust Response Surfaces, Regression, and Positive Data Analyses

Robust Response Surfaces, Regression, and Positive Data Analyses PDF Author: Rabindra Nath Das
Publisher: CRC Press
ISBN: 1466506806
Category : Mathematics
Languages : en
Pages : 333

Book Description
Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analyses presents RRS designs, along

Analysis of Failure and Survival Data

Analysis of Failure and Survival Data PDF Author: Peter J. Smith
Publisher: CRC Press
ISBN: 1482295709
Category : Mathematics
Languages : en
Pages : 267

Book Description
Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate. Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.