
Schaum's Outline of Probability and Statistics
McGraw-Hill Professional (Publisher)
2nd Edition
Published on 16. August 2000
Book
Paperback/Softback
304 pages
978-0-07-118357-4 (ISBN)
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Description
"Schaum's Outline of Probability and Statistics" has become a vital resource for the more than 977,000 college students who enroll in related probability and statistics courses each year. Its big-picture, calculus-based approach makes it an especially authoritative reference for engineering and science majors. Now thoroughly updated, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Illustrations
illustrations
Dimensions
Height: 277 mm
Width: 208 mm
Thickness: 18 mm
Weight
717 gr
ISBN-13
978-0-07-118357-4 (9780071183574)
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

John Schiller | R. Alu Srinivasan | R. Srinivasan
Schaum's Outline of Probability and Statistics
897 Solved Problems + 20 Videos
Book
12/2012
4th Edition
Schaum Outline Series
€24.00
Shipment within 15-20 days
Persons
The Late MURRAY R. SPIEGEl received the M.S degree in Physics and the Ph.D. in Mathematics from Cornell University. He had positions at Harvard University, Columbia University, Oak Ridge and Rensselaer Polytechnic Insitute, and served as a mathematical consultant at several large Companies. His last Position was professor and Chairman of mathematics at the Rensselaer Polytechnic Institute Hartford Graduate Center. He was interested in most branches of mathematics at the Rensselaer polytechnic Institute, Hartford Graduate Center. He was interested in most branches of mathematics, especially those which involve applications to physics and engineering problems. He was the author of numerous journal articles and 14 books on various topics in mathematics.
John J. Schiller, is an Associate Professor of Mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.
Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.
John J. Schiller, is an Associate Professor of Mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.
Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.
Content
Part I: Probability. Chapter 1: Basic Probability. Chapter 2: Random Variables and Probability Distributions. Chapter 3: Mathematical Expectation. Chapter 4: Special Probability Distributions. Part II: Statistics. Chapter 5: Sampling Theory. Chapter 6: Estimation Theory. Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.