Introduction to statistical inference Jack Carl Kiefer . Springer texts in statistics.

Kiefer, Jack Carl:

ISBN 10: 0387964207 / ISBN 13: 9780387964201

Verlag: New York Berlin , Springer, 1987

Beschreibung

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 KIE 9780387964201 Sprache: Englisch Gewicht in Gramm: 1150.

Bestandsnummer des Verkäufers 2500066

Bibliografische Details

• Titel: Introduction to statistical inference Jack Carl Kiefer . Springer texts in statistics.
• Verlag: New York Berlin , Springer
• Erscheinungsjahr: 1987
• Sprache: Englisch
• ISBN-10: 0387964207
• ISBN-13: 9780387964201
• Einband: Hardcover
• Gewicht: 1150 Gramm
• Verkäuferkataloge:
  • SA MATHEMATIK

Über diesen Titel

Inhaltsangabe

This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal­ culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math­ ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan­ titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods.