Selected Papers of Frederick Mosteller Selected Papers of Frederick Mosteller
Springer Series in Statistics

Selected Papers of Frederick Mosteller

    • 144,99 €
    • 144,99 €

Descrizione dell’editore

Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts.


This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings.


Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA.

GENERE
Scienza e natura
PUBBLICATO
2007
1 febbraio
LINGUA
EN
Inglese
PAGINE
670
EDITORE
Springer New York
DIMENSIONE
9,1
MB

Altri libri di Stephen E. Fienberg & David C. Hoaglin

Beginning Statistics with Data Analysis Beginning Statistics with Data Analysis
2013
Discrete Multivariate Analysis Discrete Multivariate Analysis
2007
The Analysis of Cross-Classified Categorical Data The Analysis of Cross-Classified Categorical Data
2007
The Pleasures of Statistics The Pleasures of Statistics
2010
Statistical Network Analysis: Models, Issues, and New Directions Statistical Network Analysis: Models, Issues, and New Directions
2008

Altri libri di questa serie

The Elements of Statistical Learning The Elements of Statistical Learning
2009
Ten Projects in Applied Statistics Ten Projects in Applied Statistics
2023
Statistical Foundations, Reasoning and Inference Statistical Foundations, Reasoning and Inference
2021
Linear and Generalized Linear Mixed Models and Their Applications Linear and Generalized Linear Mixed Models and Their Applications
2021
An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
2020
Design of Observational Studies Design of Observational Studies
2020