Bayesian Survival Analysis (Springer Series in Statistics)
Lingua: inglese
Editore: Springer, 2001
- Rilegato
- Usato
Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley
Venditore AbeBooks dal 28 giugno 2024
Condizione: Usato - Buono
EUR 75,28
Quantità: 1 disponibili
Aggiungi al carrelloDescrizione dell’articolo da parte del venditore
Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Codice articolo GWSVV.0387952772.G
- Titolo
- Bayesian Survival Analysis (Springer Series in Statistics)
- Autore
- Ibrahim, Joseph G.; Chen, Ming-Hui; Sinha, Debajyoti
- Editore
- Springer
- Anno di pubblicazione
- 2001
- Condizione
- good
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 0387952772
- ISBN 13
- 9780387952772
- Serie
- Libro 55 di 160: Springer Series in Statistics
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Recensione
From the reviews:
"The analysis of time-event data arises naturally in many fields of study. This book focuses exclusively on medicine and public health but the methods presented can be applied in a number of other areas, including biology, economics and engineering. Although several previously published texts address survival analysis from a frequentist perspective, this book examines solely Bayesian approaches to survival analysis. Recent advances in computing and practical methods for prior elicitation have now made Bayesian survival analysis of complex models feasible. This book provides a comprehensive and modern treatment of the subject. In addition, the authors demonstrate the use of the statistical package BUGS for several of the models and methodologies discussed in the book. The authors provide a collection of theoretical and applied problems in the exercises at the end of each chapter."
ISI Short Book Reviews, April 2002
"This is definitely a worthwhile read for any statistician specializing in survival analysis. It is pitched so that part of it is readily usable by the medical statisitciann, but it will also provide stimulation for statisticians involved in methodological development or the writing of new software for survival analysis." International Journal of Epidemiology
"Many books have been published concerning survival analysis or Bayesian methods; Bayesian Survival Analysis is the first comprehensive treatment that combines these two important areas of statistics. Ibrahim, Chen, and Sinha have made an admirable accomplishment on the subject in a well-organized and easily accessible fashion." Journal of the American Statistical Association
"This is one of the best combinations of advanced methodology and practical applications that I have ever encountered." Technometrics, May 2002
"This is a book by three authors who are well-known for their contribution to Bayesian survival analysis. ... It is a good book with many areas of strength. ... There are several new methods, ideas, results, some of which are due to the authors. There is a good discussion of historical priors ... . Other things that strike me as new are a good technical discussion of frailty and cure models ... . I have learnt a lot and enjoyed reading the book." (Jayanta K. Ghosh, Sankhya: The Indian Journal of Statistics, Vol. 65 (3), 2003)
"This book illustrates several Bayesian techniques to analyze survival data in biology, medicine, public health, epidemiology, clinical trials, and economics. ... It could be used as a textbook in a graduate level course. ... In particular, I enjoyed the presentations of cure models and cancer vaccine trials. Biostatisticians will like reading this book from the Bayesian points of view." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 74 (10), 2004)
"This book offers an excellent and thorough summary of an exciting methodological development since the seventies of the last century. ... The authors offer a gentle journey through the archipelago of Bayesian Survival analysis. They combine in a pleasant way theory, examples, and exercises. ... I hope that this stimulating book may tempt many readers to enter the field of Bayesian survival analysis ... ." (Ulrich Mansmann, Metrika, September, 2004)
"It offers a presentation of Bayesian methods in Survival Analysis that is, at a time, comprehensive and suitably balanced between theory and applications; many relevant models and methods are illustrated and most of them are provided with detailed examples and case studies drawn from the medical research. ... The book offers a quite up-to-date view of Bayesian Statistics and accounts extensively for Monte Carlo-based sampling methods and for the various methods of prior elicitation, suitable to cope with non-parametric as well as with semi-parametric models." (Fabio Spizzichino, Statistics in Medicine, Vol. 23, 2004)
"This is not an elementary book. ... The book develops methodology and does this at a high level, because the reader is presumed to have a mathematical statistics background in both classical and Bayesian methods. Happily, the book is replete with examples. This is one of the best combinations of advanced methodology and practical applications that I have encountered. ... Computing support for the book comes from the package called BUGS ... ." (Technometrics, Vol. 44 (2), 2002)
"This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison ... . The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible." (L’Enseignement Mathématique, Vol. 48 (1-2), 2002)
"The book is about Bayesian survival analysis which is illustrated with examples that mostly use the BUGS software package. ... this is definitively a worthwhile read for any statistician specializing in survival analysis. It is pitched so that part of it is readily usable by the medical statistician, but it will also provide stimulation for statisticians involved in methodological development or the writing of new software for survival analysis." (Margaret May, International Journal of Epidemiology, Vol. 31 (2), 2002)
"This book focuses exclusively on medicine and public health but the methods presented can be applied in a number of other areas, including biology, economics and engineering. ... This book provides a comprehensive and modern treatment of the subject. In addition, the authors demonstrate the use of the statistical package BUGS for several of the models and methodologies discussed in the book. The authors provide a collection of theoretical and applied problems in the exercises at the end of each chapter." (C. M. O’Brien, Short Book Reviews, Vol. 22 (1), 2002)
"Ibrahim, Chen and Sinha command over a rich experience in both Bayesian and survival analysis. Drawing from this experience they have put together a comprehensive description of Bayesian methodology in survival analysis. The book is written for researchers and graduate students. ... The book is a useful tool for practitioners who analyze survival data using Bayesian methods." (Mathias Schaller, Statistical Papers, Vol. 47, 2005)
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
Goodwill of Silicon Valley
SAN JOSE, CA, U.S.A.
Venditore AbeBooks dal 28 giugno 2024
Tariffe di spedizione nazionale per U.S.A.
| Articolo | Da 3 a 5 giorni lavorativi | Da 1 a 3 giorni lavorativi |
|---|---|---|
| Primo articolo | EUR 3,44 | EUR 6,89 |
Metodi di pagamento
Descrizione dello Store
Goodwill of Silicon Valley’s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise. Founded in Santa Clara County in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients’ sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.…
Specializzazione
All, potentially Comics and Collectibles as wellInformazioni sull’azienda del venditore
Goodwill of Silicon Valley
1080 North 7th Street
San Jose, CA U.S.A. 95112
Condizioni di vendita
Goodwill of Silicon Valley’s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise.
Founded in Santa Clara County, California, USA in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients’ sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.
Diritto di recesso
Se sei un consumatore puoi recedere dal contratto in conformità con quanto segue. Per Consumatore si intende qualsiasi persona fisica che agisce per scopi estranei alla propria attività commerciale, imprenditoriale, artigianale o professionale.
Informazioni sul diritto di recesso
Diritto legale di recesso
Hai il diritto di recedere dal presente contratto entro 14 giorni senza fornire alcuna motivazione.
Il periodo di recesso scade dopo 14 giorni dal giorno in cui tu o una terza parte, diversa dal vettore e da te indicata, acquisisce il possesso fisico dell'ultimo bene o dell'ultimo lotto o pezzo.
Per esercitare il diritto di recesso, compila e invia elettronicamente una dichiarazione esplicita sul nostro sito Web, alla voce “I miei acquisti” nella sezione “Mio account”. Ti comunicheremo senza indugio una conferma di ricezione di tale recesso su un supporto durevole (ad es. via e-mail).
Per rispettare il termine di recesso, è sufficiente inviare la comunicazione relativa all'esercizio del diritto di recesso prima della scadenza del periodo di recesso stesso.
Effetti del recesso
In caso di recesso dal presente contratto, ti rimborseremo tutti i pagamenti ricevuti, compresi i costi di spedizione (ad eccezione dei costi supplementari derivanti dalla tua eventuale scelta di un tipo di spedizione diverso dal tipo meno costoso di consegna standard da noi offerto).
Potremo effettuare una detrazione dal rimborso per la perdita di valore dei beni forniti, qualora tale perdita sia il risultato di una manipolazione non necessaria da parte tua.
Eseguiremo il rimborso senza indebito ritardo e non oltre 14 giorni dal giorno in cui saremo informati della tua decisione di recedere dal presente contratto.
Il rimborso sarà effettuato utilizzando lo stesso mezzo di pagamento da te usato per la transazione iniziale, salvo che tu non abbia espressamente concordato altrimenti; in ogni caso, non dovrai sostenere alcun costo quale conseguenza di tale rimborso.
Possiamo trattenere il rimborso finché non avremo ricevuto i beni oppure finché non avrai fornito la prova di averli rispediti, a seconda di quale condizione si verifichi per prima.
Dovrai rispedire i beni o consegnarli a Goodwill of Silicon Valley, SAN JOSE, California, U.S.A., senza indebito ritardo e, in ogni caso, entro 14 giorni dal giorno in cui ci hai comunicato la tua volontà di recedere dal presente contratto. Il termine è rispettato se rispedisci i beni prima della scadenza del periodo di 14 giorni. I costi diretti della restituzione dei beni saranno a tuo carico. Sei responsabile solo della diminuzione del valore dei beni risultante da una manipolazione diversa da quella necessaria per stabilire la natura, le caratteristiche e il funzionamento dei beni stessi.
Eccezioni al diritto di recesso
Il diritto di recesso non si applica a:
- La fornitura di giornali, periodici o riviste ad eccezione dei contratti di abbonamento; e
- La fornitura di contenuto digitale non fornito su un supporto materiale (ad es. su un CD o DVD), se al momento dell'invio dell'ordine hai accettato l'inizio dell'esecuzione e hai riconosciuto che non avresti potuto recedere una volta iniziata l'esecuzione.
Condizioni di spedizione
Books are shipped 1-2 business days following receipt of payment.
Standard flat rate shipping $15.00 per item via Fedex.
Delivery between 14-28 days.