9780387970141 - Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) de Rogers, Gerald S.; Nguyen, Hung T. (17 resultados)

Condición: Good. 1989th Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condición: Very Good. this copy was pre owned; perused, shelved; near perfect xc for the owner's stamp, 2x; light yellow-cover wear; I ship anywhere you like; now; from IL USA.

Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

First Edition. Near fine copy in the original color printed boards. Particularly and uncommonly well-preserved; tight, bright, clean and especially sharp-cornered. ; 432 pages; Description: x. 432 p. Includes bibliographical references and indexes. Subjects: Mathematical statistics. Series: Springer texts in statistics. 1 Kg. Item is Shipped from Ireland or US locations.

First Edition. Near fine copy in the original color printed boards. Particularly and uncommonly well-preserved; tight, bright, clean and especially sharp-cornered. ; 432 pages; Description: x. 432 p. Includes bibliographical references and indexes. Subjects: Mathematical statistics. Series: Springer texts in statistics. 1 Kg.

23 ills., VII, 432 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Spinger Texts in Statistics. Sprache: Englisch.

Hard Covers. Condición: Fine. Both books in excellent, unmarked condition.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:0387970142.

Hardcover. Condición: Sehr gut. N.Y., Springer (1989). gr.8°. 23 figs. X, 432 p. Hardbound. (back faded, otherwise in very good condition).- Springer Texts in Statstics.

Condición: New. In.

Hardcover. Condición: Very Good. First edition. ISBN 0387970142. Hardback Textbook. Tight sound copy in very good condition with no apparent markings to the book, slight spine fade, minor rubs to cover corners. First Printing.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a \* to designate those lessons which are 'interesting but not essential' (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also 'INE'. We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough fam.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a \* to designate those lessons which are 'interesting but not essential' (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also 'INE'. We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a \* to designate those lessons which are 'interesting but not essential' (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also 'INE'. We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial. 448 pp. Englisch.

Buch. Condición: Neu. Fundamentals of Mathematical Statistics | Probability for Statistics | Hung T. Nguyen (u. a.) | Buch | Springer Texts in Statistics | x | Englisch | 1989 | Springer | EAN 9780387970141 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.