Siegel: Statistics and Data Analysis

Siegel, Andrew F.; Morgan, Charles J.

ISBN 10: 0471293326 / ISBN 13: 9780471293323

Edité par John Wiley & Sons, 1996

A propos de cet article

Neuware - Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.

N° de réf. du vendeur 9780471293323

Détails bibliographiques

• Titre: Siegel: Statistics and Data Analysis
• Éditeur: John Wiley & Sons
• Date de parution: 1996
• Langue: anglais
• ISBN à 10 chiffres: 0471293326
• ISBN à 13 chiffres: 9780471293323
• Reliure: Taschenbuch
• Édition: 2ème Édition
• État de l'article: Neu
• Dimensions: 246 L x 189 H x 35 P (en millimètres) 246 millimètres de largeur par 189 millimètres de hauteur par 35 millimètres de profondeur
• Poids: 1240 grammes

A propos de ce titre

Synopsis

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.

À propos de l?auteur

Andrew F. Siegel holds the Grant I. Butterbaugh Professorship in Quantitative Methods and Finance at the Michael G. Foster School of Business, University of Washington, Seattle, and is also Adjunct Professor in the Department of Statistics. His Ph.D. is in statistics from Stanford University (1977). Before settling in Seattle, he held teaching and/ or research positions at Harvard University, the University of Wisconsin, the RAND Corporation, the Smithsonian Institution, and Princeton University. He has taught statistics at both undergraduate and graduate levels, and earned seven teaching awards in 2015 and 2016. The interest-rate model he developed with Charles Nelson (the Nelson-Siegel Model) is in use at central banks around the world. His work has been translated into Chinese and Russian. His articles have appeared in many publications, including the Journal of the American Statistical Association, the Encyclopedia of Statistical Sciences, the American Statistician, Proceedings of the National Academy of Sciences, Nature, the American Mathematical Monthly, the Journal of the Royal Statistical Society, the Annals of Statistics, the Annals of Probability, the Society for Industrial and Applied Mathematics Journal on Scientific and Statistical Computing, Statistics in Medicine, Biometrika, Biometrics, Statistical Applications in Genetics and Molecular Biology, Mathematical Finance, Contemporary Accounting Research, the Journal of Finance, and the Journal of Applied Probability.