
Statistical Methods
Academic Press
2nd Edition
Published on 7. January 2003
Book
Hardback
704 pages
978-0-12-267651-2 (ISBN)
Article exhausted; check for reprint
Description
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.
More details
Edition
2nd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Edition type
New edition
Dimensions
Height: 235 mm
Width: 187 mm
Weight
1170 gr
ISBN-13
978-0-12-267651-2 (9780122676512)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Donna L. Mohr | William J. Wilson | Rudolf J. Freund
Statistical Methods
Book
08/2021
4th Edition
Academic Press
€83.50
Shipment within 10-15 days
Additional editions

Rudolf Jakob Freund | Rudolf J. Freund | William J. Wilson
Statistical Methods
E-Book
05/2014
2nd Edition
Academic Press
€57.95
Available for download
Persons
Rudolf J. Freund works at Texas A&M University in the USA. William J. Wilson works at University of North Florida in Jacksonville, FL, USA.
Author
Texas A&M University, USA
University of North Florida, Jacksonville, FL, USA
Content
Data and Statistics
Probability and Sampling Distributions
Principles of Inference
Inferences on a Single Population
Inferences for Two Populations
Inferences for Two or More Means
Linear Regression
Multiple Regression
Factorial Experiments
Design of Experiments
Other Linear Models
Categorical data
Nonparametric Methods
Sampling and Sample Surveys
Probability and Sampling Distributions
Principles of Inference
Inferences on a Single Population
Inferences for Two Populations
Inferences for Two or More Means
Linear Regression
Multiple Regression
Factorial Experiments
Design of Experiments
Other Linear Models
Categorical data
Nonparametric Methods
Sampling and Sample Surveys