Statistical Models and Methods for Lifetime Data

Statistical Models and Methods for Lifetime Data
Author: Jerald F. Lawless
Publisher: John Wiley & Sons
Total Pages: 662
Release: 2011-01-25
Genre: Mathematics
ISBN: 1118031253

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
Author: Nicholas P. Jewell
Publisher: Springer Science & Business Media
Total Pages: 392
Release: 2013-04-17
Genre: Mathematics
ISBN: 1475756542

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).

Connect

Connect
Author: Lars Birkholm Petersen
Publisher: John Wiley & Sons
Total Pages: 272
Release: 2014-09-15
Genre: Business & Economics
ISBN: 111896361X

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.

The Power of [alpha]

The Power of [alpha]
Author: Malcolm H. MacGregor
Publisher: World Scientific
Total Pages: 459
Release: 2007
Genre: Business & Economics
ISBN: 9812708367

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."

Statistical Modeling for Degradation Data

Statistical Modeling for Degradation Data
Author: Ding-Geng (Din) Chen
Publisher: Springer
Total Pages: 382
Release: 2017-08-31
Genre: Mathematics
ISBN: 9811051941

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.

Child Data Citizen

Child Data Citizen
Author: Veronica Barassi
Publisher: MIT Press
Total Pages: 233
Release: 2020-12-22
Genre: Computers
ISBN: 0262044714

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.

Robust Response Surfaces, Regression, and Positive Data Analyses

Robust Response Surfaces, Regression, and Positive Data Analyses
Author: Rabindra Nath Das
Publisher: CRC Press
Total Pages: 333
Release: 2014-05-21
Genre: Mathematics
ISBN: 1466506806

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
Author: Peter J. Smith
Publisher: CRC Press
Total Pages: 267
Release: 2017-07-28
Genre: Mathematics
ISBN: 1482295709

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.

Risk Assessment and Evaluation of Predictions

Risk Assessment and Evaluation of Predictions
Author: Mei-Ling Ting Lee
Publisher: Springer Science & Business Media
Total Pages: 446
Release: 2013-12-11
Genre: Medical
ISBN: 1461489814

Methods of risk analysis and the outcome of particular evaluations and predictions are covered in detail in this proceedings volume, whose contributions are based on invited presentations from Professor Mei-Ling Ting Lee's 2011 symposium on Risk Analysis and the Evaluation of Predictions. This symposium was held at the University of Maryland in October of 2011. Risk analysis is the science of evaluating health, environmental, and engineering risks resulting from past, current, or anticipated, future activities. The use of these evaluations include to provide information for determining regulatory actions to limit risk, present scientific evidence in legal settings, evaluate products and potential liabilities within private organizations, resolve World Trade disputes amongst nations, and educate the public concerning particular risk issues. Risk analysis is an interdisciplinary science that relies on epidemiology and laboratory studies, collection of exposure and other field data, computer modeling, and related social, economic and communication considerations. In addition, social dimensions of risk are addressed by social scientists.

Amber 2022

Amber 2022
Author: David A. Case
Publisher: University of California, San Francisco
Total Pages: 998
Release: 2022-04-28
Genre: Computers
ISBN:

Amber is the collective name for a suite of programs that allow users to carry out molecular dynamics simulations, particularly on biomolecules. None of the individual programs carries this name, but the various parts work reasonably well together, and provide a powerful framework for many common calculations. The term Amber is also used to refer to the empirical force fields that are implemented here. It should be recognized, however, that the code and force field are separate: several other computer packages have implemented the Amber force fields, and other force fields can be implemented with the Amber programs. Further, the force fields are in the public domain, whereas the codes are distributed under a license agreement. The Amber software suite is divided into two parts: AmberTools22, a collection of freely available programs mostly under the GPL license, and Amber22, which is centered around the pmemd simulation program, and which continues to be licensed as before, under a more restrictive license. Amber22 represents a significant change from the most recent previous version, Amber20. (We have moved to numbering Amber releases by the last two digits of the calendar year, so there are no odd-numbered versions.) Please see https://ambermd.org for an overview of the most important changes. AmberTools is a set of programs for biomolecular simulation and analysis. They are designed to work well with each other, and with the “regular” Amber suite of programs. You can perform many simulation tasks with AmberTools, and you can do more extensive simulations with the combination of AmberTools and Amber itself. Most components of AmberTools are released under the GNU General Public License (GPL). A few components are in the public domain or have other open-source licenses. See the README file for more information.