9780898713084 - pitman's measure of closeness paperback: a comparison of statistical estimators de keating; mason; sen (9 resultados)
- Tapa blanda
Librería: Book Alley, Pasadena, CA, Estados Unidos de AmericaBook Alley
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Aceptable
EUR 24,14
Envío por EUR 5,18Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
paperback. Condición: 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.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 1994
- Tapa blanda
Librería: Better World Books, Mishawaka, IN, Estados Unidos de AmericaBetter World Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 30,60
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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.
Idioma: Inglés
Editorial: MP-SIA SIAM - Society for Industrial and Applied M, 1994
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 66,30
Envío por EUR 4,84Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics,U.S., US, 1994
- Tapa blanda
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 73,44
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 competi…ng 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.
- Tapa blanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 65,53
Envío por EUR 11,64Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 242 pages. 10.00x7.00x0.75 inches. In Stock.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 1987
- Tapa blanda
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 77,22
Envío por EUR 9,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. 1987. paperback. . . . . .
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 1987
- Tapa blanda
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 87,97
Envío por EUR 9,06Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. 1987. paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics, 1987
- Tapa blanda
Librería: SHIMEDIA, Brooklyn, NY, Estados Unidos de AmericaSHIMEDIA
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 133,35
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. Satisfaction Guaranteed or your money back.
Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics,U.S., US, 1994
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 68,98
Envío por EUR 75,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 competi…ng 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.
