noether gottfried (17 Ergebnisse)

Hardcover. Zustand: Bon. Couverture différente. Edition 1971. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Different cover. Edition 1971. Ammareal gives back up to 15% of this item's net price to charity organizations.

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:0395185785.

gebundene Ausgabe. Zustand: Gut. 104 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Einband folienkaschiert.In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 385.

Hardcover. Zustand: Fair. No Jacket. Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

gebundene Ausgabe. Zustand: Gut. 414 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 780.

Hardcover. Zustand: Sehr gut. N.Y., Springer (1991). gr.8°. Some figs. XII, 414 p. Hardbound. Springer Texts in Statistics.- With problems.- Small stamp on lower edge, otherwise like new.

Hardcover. Some wear to dust jacket, slight bump to top of spine, otherwise good condition. 104pp. 1114.

Zustand: New. pp. 432 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Hardcover. Zustand: Good. 292p white hardback, from a Cambridge college library, second edition, fine condition, problems and answers, bibliog, tables, index, very good Language: English.

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Introduction to Statistics | The Nonparametric Way | Gottfried E. Noether | Taschenbuch | Springer Texts in Statistics | xii | Englisch | 2012 | Springer | EAN 9781461269557 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author's Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author's Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference.

editor's binding. 240x175mm, XVI - 253pages, Book in good condition. En cas de problème de commande, veuillez nous contacter via notre page d'accueil / If there is a problem with the order, please contact us via our homepage.

Reli? Zustand: Bon Etat. Physique GOTTFRIED E. NOETHER -Introduction to Statistics Nonparamatric Way S.Verlag 1991.Format 24x16 cm, 145 pg. 0g.