Modern Methods of Data Analysis

Fox, John / J. Scott Long

ISBN 10: 0803933665 / ISBN 13: 9780803933668

Verlag: Sage Pubns, 1990

Beschreibung

1990, hardcover met stofomslag, rug gedeukt. Bestandsnummer des Verkäufers 190579683

Bibliografische Details

Titel: Modern Methods of Data Analysis

Verlag: Sage Pubns

Erscheinungsdatum: 1990

Einband: Hardcover

Zustand: , met stofomslag, rug gedeukt

Zustand des Schutzumschlags: , met stofomslag, rug gedeukt

Über diesen Titel

Inhaltsangabe:

This volume seeks to move the standard of statistical analysis and presentation in the social sciences towards an accurate and sensitive representation of data. This is accomplished by focusing on four themes: an emphasis on graphical data analysis; the use of computers for doing intensive computations; regression analysis; and sampling characteristics of data.

Über die Autorinnen und Autoren:

John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.

 

Scott Long is Distinguished Professor and Chancellor′s Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.