statistical models methods lifetime von lawless jerald (25 Ergebnisse)

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Laminate covers in very good condition, not spotless but overall very good for used, second hand copy. Internally, all pages appear reasonably clean and bright, apart from a one line inscription scribbled out on inside board, no further indications of markings or annotation. Seller image provided. For further helpful synopsis and reviews try clicking on 'bookseller image'. Selling books since 1999, all proceeds help fund LOROS Charity Hospice.

hardcover. Zustand: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

hardcover. Zustand: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title!

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Gebundene Ausgabe. Zustand: Wie neu. Second Edition. Cover leicht berieben, minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 431303,212433 Sprache: Englisch Gewicht in Gramm: 1075.

Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Hardcover. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

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Hardcover. Zustand: new. Hardcover. 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 The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and the biological sciences. This book provides a unified treatment of the models and statistical methods of analyzing lifetime data. The second edition has been updated with the latest developments and applications of this important statistical tool. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. xx + 630 Illus.

Zustand: New.

Hardcover. Zustand: new. Hardcover. 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 The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and the biological sciences. This book provides a unified treatment of the models and statistical methods of analyzing lifetime data. The second edition has been updated with the latest developments and applications of this important statistical tool. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and the biological sciences. This book provides a unified treatment of the models and statistical methods of analyzing lifetime data. The second edition has been updated with the latest developments and applications of this important statistical tool. Series: Wiley Series in Probability and Statistics. Num Pages: 664 pages, references. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 243 x 162 x 41. Weight in Grams: 1086. . 2002. 2nd Edition. Hardcover. . . . .

Zustand: New. pp. xx + 630 2nd Edition.

Hardcover. Zustand: Brand New. 2nd sub edition. 608 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: As New. Unread book in perfect condition.

Hardback. Zustand: New. 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.

Buch. Zustand: Neu. Neuware - 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 MedicineThe 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.

Zustand: New. The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and the biological sciences. This book provides a unified treatment of the models and statistical methods of analyzing lifetime data. The second edition has been updated with the latest developments and applications of this important statistical tool. Series: Wiley Series in Probability and Statistics. Num Pages: 664 pages, references. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 243 x 162 x 41. Weight in Grams: 1086. . 2002. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: new. Hardcover. 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 The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and the biological sciences. This book provides a unified treatment of the models and statistical methods of analyzing lifetime data. The second edition has been updated with the latest developments and applications of this important statistical tool. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardback. Zustand: New. 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.