Statistical Methods

Freund, Rudolf J. and William J. Wilson

ISBN 10: 0122674707 / ISBN 13: 9780122674709

Edité par Academic Press Inc, 1993

A propos de cet article

624 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 1238 24,1 x 19,7 x 3,8 cm, Gebundene Ausgabe.

N° de réf. du vendeur 380979

Détails bibliographiques

• Titre: Statistical Methods
• Éditeur: Academic Press Inc
• Date de parution: 1993
• Langue: anglais
• ISBN à 10 chiffres: 0122674707
• ISBN à 13 chiffres: 9780122674709
• Reliure: Couverture rigide
• État de l'article: Gut
• Catalogues du vendeur:
  • Alle Bücher

A propos de ce titre

Synopsis

Aimed at upper-division undergraduates majoring in statistics, as well as graduate students from a variety of disciplines (business, psychology, education, and sociology) who need to use sophisticated statistical methods in their research and other professional activities. This is a comprehensive textbook for a course in statistical methods, primarily aimed at majors other than statistics in upper-division undergraduate- and graduate level courses. The use of this book in a two-semester course sequence provides a complete overview of most standard statistical methods, including a substantial amount of material on multiple regression, analysis of variance, experimental design, and sampling techniques. In addition, the text is organized in a manner to provide a useful subset of methods is used for only one semester. The primary purpose throughout is to teach intelligent data analysis and principles of good data collection, including the intelligent use of computers to assist in drawing conclusions about data. The only mathematical background necessary is two years of school algebra. Features include a comprehensive overview of most standard statistical methods - multiple regression, analysis of variance, experimental design, and sampling techniques; a useful subset of methods if used for only one semester; learning concepts as opposed to the "plugging numbers into formulas" approach.

Présentation de l'éditeur

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.

* Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions
* Examples contain graphical illustration for ease of interpretation
* Intended for use with almost any statistical software
* Examples are worked to a logical conclusion, including interpretation of results
* A complete Instructor's Manual is available to adopters