Brossura

ISBN 10: 0070602204 ISBN 13: 9780070602205

Casa editrice: Mcgraw-Hill, 1975

This book gives theory and solved problems for a combined course in probability and mathematical statistics. A calculus background is employed. The first half of the book itself serves as a supplement to the study of probability.

From the Back Cover:

Master probability and statistics with SchaumOsNthe high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love SchaumOs Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use SchaumOs! If you don't have a lot of time but want to excel in class, this book helps you: Brush up before tests; Find answers fast; Study quickly and more effectively; Get the big picture without spending hours poring over lengthy textbooks. SchaumOs Outlines give you the information your teachers expect you to know in a handy and succinct formatNwithout overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, SchaumOs let you study at your own pace and remind you of all the important facts you need to rememberNfast! And SchaumOs are so complete, theyOre perfect for preparing for graduate or professional exams. Inside, you will find: Coverage of all course fundamentals for probability and statistics; Theory, concepts, definitions, problems, and more; 760 fully worked problems; Hundreds more practice problems. If you want top grades and thorough understanding of probability and statistics, this powerful study tool is the best tutor you can have! Chapters include: Sets and Prbability; Random Variables and Probability Distributions; Maathematical Expectation; Special Probability Distributions; Sampling Theory; Estimation Theory; Tests of Hypotheses and Significance; Curve Fitting, Regression, and Correlation; Analysis of Variance.

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.