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Analysis of failure and survival data, Smith, Peter J. (royal Melbourne Institute Of Technology, Australia)


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Автор: Smith, Peter J. (royal Melbourne Institute Of Technology, Australia)
Название:  Analysis of failure and survival data
ISBN: 9781584880752
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1584880759
Обложка/Формат: Paperback
Страницы: 266
Вес: 0.43 кг.
Дата издания: 26.02.2002
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Иллюстрации: 27 illustrations, black and white
Размер: 155 x 235 x 23
Читательская аудитория: Undergraduate
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Поставляется из: Европейский союз
Описание: Suitable for students of survival analysis and reliability, this textbook integrates the use of contemporary statistical software output throughout the text along with a variety of real data sets so readers can see how theories and techniques are applied. It also brings to light linear regression techniques.


Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 11088.00 р.
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Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Econometric Analysis of Panel Data

Автор: Baltagi Badi H.
Название: Econometric Analysis of Panel Data
ISBN: 3030539520 ISBN-13(EAN): 9783030539528
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Introduction.- The One-Way Error Component Regression Model.- The Two-Way Error Component Regression Model.- Test of Hypotheses with Panel Data.- Heteroskedasticity and Serial Correlation in the Error Component Model.- Seemingly Unrelated Regressions with Error Components.- Simultaneous Equations with Error Components.- Dynamic Panel Data Models.- Unbalanced Panel Data Models.- Special Topics.- Limited Dependent Variables and Panel Data.- Nonstationary Panels.- Spatial Panel Data Models.

Statistical Analysis with Missing Data, Third Edit ion

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

The Analysis of Biological Data

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 13858.00 р.
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Statistical Methods for Survival Data Analysis, 4th Edition

Автор: Lee
Название: Statistical Methods for Survival Data Analysis, 4th Edition
ISBN: 1118095022 ISBN-13(EAN): 9781118095027
Издательство: Wiley
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Цена: 18050.00 р.
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Описание: Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data.

Analysis of Multivariate Survival Data

Автор: Hougaard Philip
Название: Analysis of Multivariate Survival Data
ISBN: 1461270871 ISBN-13(EAN): 9781461270874
Издательство: Springer
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Цена: 7406.00 р.
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Описание: Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. As the field is rather new, the concepts and the possible types of data are described in detail.

Survival Analysis for Bivariate Truncated Data

Автор: Dai, Hongsheng
Название: Survival Analysis for Bivariate Truncated Data
ISBN: 0128054808 ISBN-13(EAN): 9780128054802
Издательство: Elsevier Science
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Цена: 9264.00 р.
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Описание: Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bias in the study design. . Truncation presents itself in different ways. For example, left truncation, which is often due to a so-called late entry bias, occurs when individuals enter a study at a certain age and are followed from this delayed entry time. Right truncation arises when only individuals who experienced the event of interest before a certain time point can be observed. Analyzing truncated survival data without considering the potential selection bias may lead to seriously biased estimates of the time to event of interest and the impact of risk factors.

Lifetime Data: Models in Reliability and Survival Analysis

Автор: Nicholas P. Jewell; Alan C. Kimber; Mei-Ling Ting
Название: Lifetime Data: Models in Reliability and Survival Analysis
ISBN: 0792337832 ISBN-13(EAN): 9780792337836
Издательство: Springer
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Цена: 29209.00 р.
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Описание: 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 Statistical Analysis of Interval-censored Failure Time Data

Автор: Jianguo Sun
Название: The Statistical Analysis of Interval-censored Failure Time Data
ISBN: 1441921923 ISBN-13(EAN): 9781441921925
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic and complements the books on right-censored data.

Bayesian Analysis of Failure Time Data Using P-Splines

Автор: Matthias Kaeding
Название: Bayesian Analysis of Failure Time Data Using P-Splines
ISBN: 3658083921 ISBN-13(EAN): 9783658083922
Издательство: Springer
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Цена: 9141.00 р.
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Описание: Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Bayesian Data Analysis, Third Edition

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
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Цена: 11088.00 р.
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Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.


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