
Statistical Concepts and Methods
Wiley (Publisher)
Published on 8. March 1977
Book
Paperback/Softback
656 pages
978-0-471-07204-1 (ISBN)
Description
This non-mathematical introductory statistics text combines clear explanation of concepts, extensive coverage of useful statistical techniques, and numerous illustrations with data from diverse fields. Throughout, the text emphasizes the assumptions and limitations of statistical methods so that gross abuses can be avoided. It strives to promote correct attitudes and thinking about statistics and its applications. This text should prove an excellent introduction and valuable reference to statistics for students and concerned lay persons.
More details
Product info
Paperback
Series
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 238 mm
Width: 160 mm
Thickness: 36 mm
Weight
1012 gr
ISBN-13
978-0-471-07204-1 (9780471072041)
Schweitzer Classification
Persons
About the authors GOURI K. BHATTACHARYYA is Professor of Statistics at The University of Wisconsin, Madison. He received his B.Sc. (1958) and M.Sc. (1960) in Statistics from Calcutta University and his Ph.D. (1966) from the University of California, Berkeley. He has taught at The University of Wisconsin since 1966 with two one--year visiting positions in India at the Indian Institute of Management (1969--70) and the Indian Statistical Institute (1975--76). Dr. Bhattacharyya is a member of the Institute of Mathematical Statistics and Fellow of the Royal Statistical Society (London). RICHARD A. JOHNSON, Professor of Statistics at The University of Wisconsin, Madison, received his Ph.D. from the University of Minnesota in 1966. He has been at the University of Wisconsin since 1966, except for a one--semester visiting position at the University of Oslo in 1972. Dr. Johnson is an Associate Editor of the Journal of the American Statistical Association and the Secretary--Treasurer of the Madison Chapter of ASA, and Associate Program Secretary of the Institute of Mathematical Statistics.
Author
University of Wisconsin, Madison, WI
University of Wisconsin, Madison, WI
Content
Introduction. Descriptive Study of Data. Elements of Probability. Random Variables and Probability Distributions. Distributions for Counts. Basic Concepts of Testing Hypotheses. The Normal Distribution and Random Samples. Inferences about a Population. Comparing Two Treatments. Regression Analysis: Simple Linear Relation. Regression Analysis: Model Checking and Multiple Linear Regression. Correlation: A Measure of Linear Relationship. Analysis of Categorized Data. Design of Experiments and Analysis of Variance. Nonparametric Inference. Sample Surveys.