Schaum's Outline: Probability and Statistics, Second Edition

Spiegel, Murray R; Schiller, John J.; Srinivasan, R. Alu

ISBN 10: 0071350047 / ISBN 13: 9780071350044

Published by McGraw-Hill (edition 2nd), 2000

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0071350047-11-18

Bibliographic Details

• Title: Schaum's Outline: Probability and Statistics, Second Edition
• Publisher: McGraw-Hill (edition 2nd)
• Publication Date: 2000
• Language: English
• ISBN 10: 0071350047
• ISBN 13: 9780071350044
• Binding: Paperback
• Edition: 2nd.
• Condition: Very Good

About this title

Synopsis

Selling over 220,000 copies in its first edition, 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 authoriatative reference for engineering and science majors. Now thoroughly update, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.

About the Author

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.