Keating jerome mason robert sen (6 risultati)
- Brossura
Da: Book Alley, Pasadena, CA, U.S.A.Book Alley
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 24,08
EUR 5,17 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
paperback. Condizione: Good. Good. Used with bottom cover and page edge wear with some markings. Light age toning to pages but is still in solid reading condition. Pasadena's finest new and used bookstore since 1992.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 1994
- Brossura
Da: Better World Books, Mishawaka, IN, U.S.A.Better World Books
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 39,57
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 1994
- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 73,27
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: New. Pitman's Measure of Closeness (PMC) is simply an idea whose time has come. Certainly there are many different ways to estimate unknown parameters, but which method should you use? Posed as an alternative to the concept of mean-squared-error, PMC is based on the probabilities of the closeness of compet…ing estimators to an unknown parameter. Renewed interest in PMC over the last 20 years has motivated the authors to produce this book, which explores this method of comparison and its usefulness.Written with research-oriented statisticians and mathematicians in mind, but also considering the needs of graduate students in statistics courses, this book provides a thorough introduction to the methods and known results associated with PMC. Following a foreword by C. R. Rao, the first three chapters focus on basic concepts, history, controversy, paradoxes and examples associated with the PMC criterion. The material is illustrated through realistic estimation problems and presented with a limited degree of technical difficulty. The last three chapters present a unified development of the extensive theoretical and mathematical research on PMC, albeit in the setup of a single parameter. Taken together, they serve as a single comprehensive source on this important topic. The text is highly referenced, allowing researchers to readily access the original articles.What lies ahead for PMC? This book begins to answer that question by presenting a unified discourse on this alternative criterion to traditional methods of comparison. Find out how the authors have begun to unravel the many attributes of PMC and their connections to other estimation criteria.
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,54
EUR 11,64 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 242 pages. 10.00x7.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 1987
- Brossura
Da: SHIMEDIA, Brooklyn, NY, U.S.A.SHIMEDIA
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 133,03
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New. Satisfaction Guaranteed or your money back.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 1994
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 68,99
EUR 75,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: New. Pitman's Measure of Closeness (PMC) is simply an idea whose time has come. Certainly there are many different ways to estimate unknown parameters, but which method should you use? Posed as an alternative to the concept of mean-squared-error, PMC is based on the probabilities of the closeness of compet…ing estimators to an unknown parameter. Renewed interest in PMC over the last 20 years has motivated the authors to produce this book, which explores this method of comparison and its usefulness.Written with research-oriented statisticians and mathematicians in mind, but also considering the needs of graduate students in statistics courses, this book provides a thorough introduction to the methods and known results associated with PMC. Following a foreword by C. R. Rao, the first three chapters focus on basic concepts, history, controversy, paradoxes and examples associated with the PMC criterion. The material is illustrated through realistic estimation problems and presented with a limited degree of technical difficulty. The last three chapters present a unified development of the extensive theoretical and mathematical research on PMC, albeit in the setup of a single parameter. Taken together, they serve as a single comprehensive source on this important topic. The text is highly referenced, allowing researchers to readily access the original articles.What lies ahead for PMC? This book begins to answer that question by presenting a unified discourse on this alternative criterion to traditional methods of comparison. Find out how the authors have begun to unravel the many attributes of PMC and their connections to other estimation criteria.
