Presents a modern introduction to probability and statistics using a background of calculus. Designed as a reference for research workers or to those interested in the field for self study.

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.



Master probability and statistics with Schaum's??the high-performance study guide. It will help you study efficiently, develop problem-solving skills, and achieve your personal best on exams!



Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides.



Schaum's Outlines give you the information your teachers expect you to know in a handy and succinct format??without overwhelming you with unnecessary detail. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's let you study at your own pace and remind you of all the important facts you need to remember??fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams.



Inside you will find:



760 fully-worked problems with step-by-step solutions

Hundreds of additional practice problems with answers

Coverage of all course fundamentals

Easy-to-understand methodology

If you want top grades and a thorough understanding of probability and statistics, this powerful study tool is the best tutor you can have! Chapters include:



Basic Probability

Random Variables & Probability Distributions

Mathematical Expectation

Special Probability Distributions

Sampling Theory

Estimation Theory

Tests of Hypotheses & Significance

Curve Fitting, Regression, & Correlation

Analysis of Variance

Nonparametric Tests





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.