Foto 1 di 5
Galleria
Foto 1 di 5
Thomas A. Severini Likelihood Methods in Statistics (Hardback) Ex Library Good
US $149,99
CircaEUR 129,87
Condizione:
Buone condizioni
Libro che è già stato letto ma è in buone condizioni. Mostra piccolissimi danni alla copertina incluse alcune rigature, ma nessun foro o strappo. È possibile che la sovraccoperta per le copertine rigide non sia inclusa. La rilegatura presenta minimi segni di usura. La maggior parte delle pagine non è danneggiata e mostra una quantità minima di piegature o strappi, sottolineature di testo a matita, nessuna evidenziazione di testo né scritte ai margini. Non ci sono pagine mancanti. Per maggiori dettagli e la descrizione di eventuali imperfezioni, consulta l'inserzione del venditore.
- Compralo SubitoThomas A. Severini Likelihood Methods in Statistics (Hardback) Ex Library Good
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Spedizione:
US $6,13 (circa EUR 5,31) USPS Media MailTM.
Oggetto che si trova a: Henderson, North Carolina, Stati Uniti
Consegna:
Consegna prevista tra il mer 18 giu e il mar 24 giu a 94104
Restituzioni:
Restituzioni non accettate.
Pagamenti:
Fai shopping in tutta sicurezza
Il venditore si assume la piena responsabilità della messa in vendita dell'oggetto.
Numero oggetto eBay:135951365280
Specifiche dell'oggetto
- Condizione
- EAN
- 9780198506508
- ISBN
- 9780198506508
- Release Year
- 2000
- Book Title
- Likelihood Methods in Statistics
- ISBN-10
- 0198506503
- Title
- Likelihood Methods in Statistics
- Features
- Ex-Library
- Genre
- Science Nature & Math
- Country/Region of Manufacture
- GB
- Edition
- Illustrated
- Release Date
- 11/09/2000
Informazioni su questo prodotto
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0198506503
ISBN-13
9780198506508
eBay Product ID (ePID)
1665570
Product Key Features
Number of Pages
392 Pages
Publication Name
Likelihood Methods in Statistics
Language
English
Publication Year
2001
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Series
Oxford Statistical Science Ser.
Format
Hardcover
Dimensions
Item Height
1 in
Item Weight
24.7 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
College Audience
LCCN
00-056537
Dewey Edition
21
Reviews
"This book presents an excellent overview of modern likelihood methods. The presentation is clear and readable enough to be of considerable use to intermediate level graduate students, but is complete and up-to-date enough to act as an excellent first reference for beginning researchers in the field. . . . Moreover, there are excellent discussions of important references as well as numerous exercises. . . . The field of likelihood asymptotics has been undergoing an increasingly rapid development over the last two decades, and this book provides an excellent and detailed account of where the field is, where it came from and perhaps even a bit about where it is going." -- Mathematical Reviews, This book is an excellent account of likelihood-based statistical inference; I believe that it will be a very useful addition to any scholarly library., "This book presents an excellent overview of modern likelihood methods. The presentation is clear and readable enough to be of considerable use to intermediate level graduate students, but is complete and up-to-date enough to act as an excellent first reference for beginning researchers in the field. . . . Moreover, there are excellent discussions of important references as well as numerous exercises. . . . The field of likelihood asymptotics has been undergoing an increasingly rapid development over the last two decades, and this book provides an excellent and detailed account of where the field is, where it came from and perhaps even a bit about where it is going." --Mathematical Reviews
Series Volume Number
22
Illustrated
Yes
Dewey Decimal
519.5/44
Table Of Content
1. Some basic concepts2. Large-sample approximations3. Likelihood4. First-order asymptotic theory5. Higher-order asymptotic theory6. Asymptotic theory and conditional inference7. The signed likelihood ratio statistic8. Likelihood functions for a parameter of interest9. The modified profile likelihood functionAppendix: Data sets used in the examplesReferencesAuthor indexSubject index
Synopsis
This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely related approximations that generally have very high accuracy. A third aspect is that, for models with nuisance parameters, inference isoften based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown often to yield substantial improvements over classical methods. The bookalso provides an up-to-date account of recent results in the field, which has been undergoing rapid development., This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely related approximations that generally have very high accuracy. A third aspect is that, for models with nuisance parameters, inference is often based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown often to yield substantial improvements over classical methods. The book also provides an up-to-date account of recent results in the field, which has been undergoing rapid development., This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely related approximations that generally have very high accuracy. A third aspect is that, for models with nuisance parameters, inference is often based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown often to yield substantial improvements over classical methods. The book also provide an up-to-date account of recent results in the field, which has been undergoing rapid development., Likelihood methods play a central role in statistical theory and methodology. Recently, a new approach to likelihood inference has been developed that often leads to substantial improvements over classical methods. This book gives a detailed introduction to this modern theory of likelihood methods.
LC Classification Number
QA276.8.S38 2000
Descrizione dell'oggetto fatta dal venditore
Informazioni sul venditore professionale
Informazioni su questo venditore
Ads of Henderson
100% di Feedback positivi•2,6 mila oggetti venduti
Registrato come venditore professionale
Feedback sul venditore (942)
- *****- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificato--
- o***i (1148)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoGreat seller---as described and fast shipping--Thank you!!
- r***s (372)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoItem as described, fast shipping and quick delivery. Very secured packaging.