9781461448174 - essential statistical inference: theory and methods: 120 (springer texts in statistics, 120) de boos, dennis d.; stefanski, l a (11 resultados)
Idioma: Inglés
Editorial: Springer (edition 2013) 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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EUR 60,98
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Hardcover. Condición: Fair. 2013. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Idioma: Inglés
Editorial: Springer 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 204,66
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Condición: New. pp. 588.
Idioma: Inglés
Editorial: Springer 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. pp. 588 34 Illus.
Idioma: Inglés
Editorial: Springer, Humana 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern top…ics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.
Idioma: Inglés
Editorial: SPRINGER 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
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EUR 314,19
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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Idioma: Inglés
Editorial: Springer 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 166,29
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer New York 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: moluna, Greven, Alemaniamoluna
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EUR 175,51
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Valuable text for graduate students and reference for researchersContains R code throughout the text and in sample problems Includes unique page references to equation displaysDennis Boos and Len Stefanski a…re professors in the Depa.
Idioma: Inglés
Editorial: Springer, Humana Feb 2013 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 213,99
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theor…y; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods. 588 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Humana Feb 2013 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
- Tapa dura
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 213,99
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿This book is for students and researchers who have had a first year graduate level mathematicalstatistics course. It covers classical likelihood, Bayesian, and permutation inference;an introduction to basic asymptotic distribution theory; and… modern topics like M-estimation,the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large numberof examples and problems.An important goal has been to make the topics accessible to a wide audience, with little overt relianceon measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimationand testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State.Their research has been eclectic, often with a robustness angle, although Stefanski is also known forresearch concentrated on measurement error, including a co-authored book on non-linear measurementerror models. In recent years the authors have jointly worked on variable selection methods.¿Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 588 pp. Englisch.
Idioma: Inglés
Editorial: Springer 2013
Serie: Springer Texts in Statistics, Libro 67 de 111. Libro 67 de 111 - Springer Texts in Statistics
- Tapa dura
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 304,11
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Condición: New. PRINT ON DEMAND pp. 588.
